US20060095317A1 - System and method for monitoring retail store performance - Google Patents

System and method for monitoring retail store performance Download PDF

Info

Publication number
US20060095317A1
US20060095317A1 US10/980,574 US98057404A US2006095317A1 US 20060095317 A1 US20060095317 A1 US 20060095317A1 US 98057404 A US98057404 A US 98057404A US 2006095317 A1 US2006095317 A1 US 2006095317A1
Authority
US
United States
Prior art keywords
images
retail store
digital
store
location
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US10/980,574
Inventor
Robert Brown
Gregory McDonald
Caroline Slettedahl
Robert Foster
Richard Post
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Target Brands Inc
Original Assignee
Target Brands Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Target Brands Inc filed Critical Target Brands Inc
Priority to US10/980,574 priority Critical patent/US20060095317A1/en
Assigned to TARGET BRANDS, INC. reassignment TARGET BRANDS, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: SLETTEDAHL, CAROLINE LOUISE, BROWN, ROBERT FRANCIS, BROWN, ROBERT KRUGER, MCDONALD, GREGORY ALLEN, POST, RICHARD SCOTT
Assigned to TARGET BRANDS, INC. reassignment TARGET BRANDS, INC. CORRECTED ASSIGNMENT COVER SHEET TO CORRECT INCORRECT INVENTOR NAME Assignors: SLETTEDAHL, CAROLINE LOUISE, BROWN, ROBERT KRUGER, FOSTER, ROBERT FRANCIS, MCDONALD, GREGORY ALLEN, POST, RICHARD SCOTT
Publication of US20060095317A1 publication Critical patent/US20060095317A1/en
Priority to US12/616,078 priority patent/US8170909B2/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063114Status monitoring or status determination for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063116Schedule adjustment for a person or group
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06311Scheduling, planning or task assignment for a person or group
    • G06Q10/063118Staff planning in a project environment
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06315Needs-based resource requirements planning or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0639Performance analysis of employees; Performance analysis of enterprise or organisation operations
    • G06Q10/06398Performance of employee with respect to a job function
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0204Market segmentation
    • G06Q30/0205Location or geographical consideration

Definitions

  • customer satisfaction is of paramount importance in establishing and maintaining customers. Customer satisfaction depends on a variety of factors such as a customer's perception of price, product availability, well-stocked shelves, ease of finding products within a retail store, cleanliness of the store, and friendliness of employees.
  • customer service Of primary concern with regard to customer service is the amount of time a customer must wait when requiring assistance from a store employee. This includes, for example, time spent waiting for assistance at a customer service counter, at a merchandise counter and, of course, time spent waiting in check-out lanes. Generally speaking, the less time spent waiting for assistance, the more satisfied the customer.
  • One embodiment of the present invention relates to a system for monitoring the performance of at least one task associated with operation of a retail store.
  • the system comprises at least one monitoring device positioned and adapted to provide images of at least one location within the retail store, with each image showing at least one factor related to performance of the at least one task.
  • the system further includes a controller and an interface.
  • the controller is adapted to obtain and store images from the at least one monitoring device.
  • the interface is configured to enable a user to selectively view stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task.
  • FIG. 1 is block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 2 is a block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 3 is a block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 4A is an illustration of a graphical user interface for use with one embodiment of a performance monitoring system according to the present invention.
  • FIG. 4B illustrates in greater detail a portion of the graphical user interface of illustrated in FIG. 4A .
  • FIG. 5 is a flow diagram illustrating one embodiment of a process for monitoring the performance of a retail store according to the present invention.
  • FIG. 6 is a flow diagram illustrating another embodiment of a process for determining staffing requirements of a retail store according to the present invention.
  • FIG. 1 is a block diagram generally illustrating one embodiment of a performance monitoring system 10 according to the present invention for monitoring the performance of at least one task associated with operation of a retail store 12 .
  • Performance monitoring system 10 includes a plurality of monitoring devices 14 , each positioned to view a corresponding location 16 within retail store 12 and adapted to provide images of the corresponding location 16 , each image showing at least one factor related to performance of at the at least one task.
  • monitoring devices 14 comprise cameras.
  • monitoring devices 14 comprise analog video cameras adapted to provide analog video of corresponding locations 16 .
  • monitoring devices 14 comprise digital video cameras adapted to provide digital video of corresponding locations 16 .
  • analog video cameras 14 a through 14 f respectively correspond to store locations indicated as checkout lanes 14 a , customer service desk 14 b , electronics counter 14 c , jewelry counter 14 d , stockroom 14 e , and receiving area 14 f .
  • monitoring system 10 can include more or fewer cameras 14 at locations other than locations 16 indicated by FIG. 1 . Additionally, multiple cameras may be used to monitor a single store location, such as check lanes 16 a.
  • Performance monitoring system 10 further includes a controller 18 and an interface 20 .
  • Controller 18 is adapted to automatically obtain and store still images from each of the monitoring devices 14 at selectable intervals.
  • controller 18 is adapted to obtain still images in a digital format, such as JPG format, for example, from analog video cameras 14 at selected intervals.
  • the selectable intervals are regular intervals, such as every fifteen minutes, for example.
  • Interface 20 is adapted to enable a user, such as a store manager, to selectively view the stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task.
  • factors include number of employees and an amount of unloading time required when evaluating the task of unloading an incoming shipment of products at receiving dock 16 f , and a number of customers awaiting service when evaluating the tasks of processing customers at check lanes 16 a or assisting customers at customer service area 16 b , electronics counter 16 c , and jewelry counter 16 d .
  • Any number of other tasks associated with operation of retail store 12 can be similarly monitored by providing and positioning cameras 14 at other locations within retail store 12 as required.
  • performance monitoring system 10 By providing monitoring of selected areas of a retail store, performance monitoring system 10 enables a user, such as a store manager, to evaluate performance of selected tasks associated with the operation of the retail store. Based on such evaluations, performance of certain tasks can be adjusted to improve the store's performance. For example, staffing requirements at certain store locations, particularly at check lanes, can be evaluated and adjusted in order to minimize customer wait times and thereby likely improve customer satisfaction. Furthermore, by storing the images, monitoring system 10 enables a user, such as a store manager, to evaluate the performance of tasks at any suitable time and does not require real-time monitoring.
  • Components of the present invention can be implemented in hardware via a microprocessor, programmable logic, or state machine, in firmware, or in software with a given device.
  • at least a portion of the software programming is web-based and written in HTML and JAVA programming languages, including links to user interfaces, such as a Windows based operating system, and each of the main components may communicate via a network using a communication protocol.
  • a communication protocol such as a Windows based operating system
  • the present invention may or may not use a TCP/IP protocol for data transport.
  • Other programming languages and communication protocols suitable for use with the present invention will become apparent to those skilled in the art after reading the present application.
  • Components of the present invention may also reside in software on one or more computer-readable mediums, which is defined herein to include any kind of memory, volatile or non-volatile, such as floppy disks, hard drives, read-only memory (ROM), CD-ROMs, flash memory, and random access memory (RAM).
  • volatile or non-volatile such as floppy disks, hard drives, read-only memory (ROM), CD-ROMs, flash memory, and random access memory (RAM).
  • FIG. 2 is a block and schematic diagram illustrating one embodiment of performance monitoring system 10 for retail store 12 as illustrated generally by FIG. 1 .
  • Performance monitoring system 10 includes a plurality of analog video cameras 14 , such as analog video cameras 14 a through 14 e .
  • Each camera 14 is coupled to a digital video recorder (DVR) 30 via a corresponding link 32 .
  • DVR 30 includes an analog-to-digital converter (A/D) 34 which converts the analog video signal of each camera (or channel) 14 to a corresponding digital video having a digital video format, such as AVI, for example.
  • A/D analog-to-digital converter
  • DVR 30 is configured to store a predetermined amount of the digital video for each camera 14 .
  • DVR 30 stores a day's worth of digital video for each camera 14 , with the stored digital video being replaced with the digital video for each subsequent day.
  • a server 40 is coupled to DVR 30 via a link 42 .
  • controller 18 comprises a monitoring system application (MSA) comprising an electronically readable code which is installed and operating on server 40 .
  • MSA 18 in addition to MSA 18 , store server 40 includes various other applications 44 related to operation of retail store 12 .
  • MSA 18 is adapted to automatically retrieve digital still images for each camera 14 at regular intervals from DVR 30 via link 42 .
  • MSA 18 is adapted to retrieve the digital still images for each camera by selecting a single frame from a selectable time period of the digital video of each camera stored in DVR 30 and by converting the selected digital video frame from a digital video from, such as AVI, to a digital still picture format, such as JPG.
  • MSA 18 stores the retrieved digital still images for each camera in a memory 46 according to a directory and file naming convention. In an alternate embodiment, MSA 18 stores the retrieved digital still images in a database 48 . Although illustrated as being within server 40 , in other embodiments, database 48 could be located external to server 40 .
  • interface 20 comprises a graphical user interface (GUI) adapted to display the digital still photos stored in database 46 and which is viewable via a personal computer (PC) 50 coupled to server 40 via a link 52 .
  • GUI graphical user interface
  • PC 50 personal computer
  • GUI 20 may be viewed via other electronic viewing devices, such as a personal digital assistant (PDA) or Blackberry device, for example.
  • PDA personal digital assistant
  • Blackberry device for example.
  • DVR 30 comprises a portion of a security system 60 which further includes a plurality of analog video cameras 62 providing surveillance video of retail store 12 for purposes of assets protection.
  • Surveillance system 60 is controlled by a security system application (SSA) 64 comprising a computer readable code which is installed and operating on store server 40 .
  • SSA security system application
  • analog video cameras 16 are dedicated for use as surveillance cameras for assets protection and analog video cameras 14 are employed both as surveillance cameras by security system 60 and as monitoring cameras by performance monitoring system 10 .
  • Security system 60 utilizes the entire video signal of analog video cameras 14 and 62 stored in DVR 30
  • performance monitoring system 10 utilizes the digital images obtained by controller 18 and stored in database 46 .
  • security system 60 represents an existing surveillance system within retail store 12 . If analog video cameras 62 of security system 60 are already positioned or can be repositioned to view all locations desired to be monitored by performance monitoring system 10 (e.g., locations 16 as illustrated by FIG. 1 ), analog video cameras 14 are not required and MSA 18 of performance monitoring system 10 can obtain images as necessary from existing analog video cameras 62 . However, if analog video cameras 62 of security system 60 are not, or cannot, be positioned to view all desired store locations 16 , analog video cameras 14 are added to security system 60 and positioned to view the otherwise non-observed areas. In such a scenario, while the primary function of analog video cameras 14 is to provide images for performance monitoring system 10 , analog video signals provided by analog video cameras 14 via links 32 can also be utilized for assets protection purposes by security system 60 .
  • recording device 30 comprises some type of analog recording device, such as one or more video tape recording devices adapted to record the analog video signals received via links 32 from each camera, or channel.
  • performance monitoring system 10 further includes a “frame grabber” (FG) 70 adapted to capture at regular intervals a single frame of the analog video signal provided by each camera 14 prior to the analog video signal being recorded by the analog recording device, and to convert the single frame to a digital still image which is subsequently stored in memory 46 .
  • FG frame grabber
  • cameras 14 comprise digital still cameras configured to provide digital still images of store locations 16 at intervals as directed by MSA 18 .
  • digital still images from cameras 14 can be stored directly to database 46 as directed by MSA 18 .
  • recording device 30 is not required in this embodiment.
  • FIG. 3 is a block diagram illustrating one embodiment of a performance monitoring system 110 according to the present invention configured as a network system distributed across a plurality of retail stores 112 and a headquarters facility 113 of a retail corporation.
  • each retail store 112 a through 112 n respectively includes a monitoring system 110 a to 110 n .
  • monitoring systems 110 are similar to monitoring system 10 of retail store 12 described above by FIG. 2 , with each monitoring system 110 including a plurality of digital video cameras and a digital recording device (indicated generally at 114 ), and an MSA 118 and database 146 installed and operating on a server 140 .
  • Each monitoring system 110 further includes a GUI 120 viewable via an electronic viewing device, such as PC 150 .
  • Headquarters facility 113 includes a server 140 x and at least one electronic viewing device, such as PC 150 x , for viewing GUI 120 x.
  • Monitoring systems 110 a to 110 n of are respectively coupled to a network communications link 180 via communications links 176 a to 176 n and headquarters facility 110 is coupled to network communications link 180 via communications link 176 x .
  • Network communication link 180 includes an Internet communications link, an intranet communication link, or similar high-speed communication link.
  • network communication link 18 includes an Internet communications link 182 . Internet communications link permits communication between performance monitoring systems 110 of stores 112 and between performance monitoring systems 110 of stores 110 and headquarters facility 113 .
  • network communications link 180 includes an Intranet communications link 184 linking retail stores 112 and headquarters facility 113 by means of Internet communications link 182 .
  • Intranet communications link 184 provides a controlled-access communications link between stores 112 and headquarters facility 113 which is accessible via a password or other user-recognition mechanism.
  • MSA 118 of monitoring system 110 of each retail store 112 is configured to obtain and store digital images of desired locations within retail store 112 (e.g. locations 16 as illustrated by FIG. 1 ) in memory 146 of server 140 of corresponding retail store 112 .
  • monitoring systems 110 store digital images obtained from corresponding camera and recording devices 114 in a central data base, such as database 192 within server 140 x of headquarters facility 113 or database 194 coupled to network communications link 180 via a communications link 196 .
  • the digital images obtained by MSAs 118 are viewable by users via GUIs 120 which access the digital images stored in data bases 146 of servers 140 via a website 190 located on server 140 x of headquarters facility 113 and network communications link 180 .
  • website 190 could be located on any server coupled to network communications link 180 .
  • intranet communications link 184 comprises a controlled-access communications link between stores 112 and headquarters facility 113 .
  • a user such as a manager of retail store 112 a , enters the URL (Uniform Resource Location), or address, of website 190 into a Web browser located on PC 150 a which subsequently locates website 190 via intranet connection 186 .
  • the user enters a username and password.
  • the user can access and view selected stored digital images via GUI 120 a which is displayed by PC 150 a .
  • website 190 can be accessed via other types of electronic viewing devices, such as a PDA, for example, and from any location that provides a communication link to intranet 184 .
  • access to viewing stored images is limited based on a user's logon ID. For instance, in one embodiment, based on the user's unique logon ID, a user associated with a given retail store 112 can access only stored images corresponding to the given retail store 112 . For example, a manager of retail store 112 a can access only images of locations within retail store 112 a which are stored within memory 146 a , and cannot access images of other retail stores, such as retail store 112 b . In other embodiments, other users, such as certain employees associated with headquarters facility 113 , can access images of all retail stores 112 a to 112 n respectively stored in memories 146 a to 146 n .
  • access to viewing stored images is limited based a location from which access is initiated.
  • each PC, or workstation, 150 has unique hardware identifier which corresponds, at least in part, to the retail store 112 in which PC 150 is located.
  • a user accessing stored images via PC 150 a is limited to viewing only those images stored in memory 146 a corresponding to retail store 112 a.
  • FIG. 4A is an illustrative example of GUI 120 for accessing and viewing digital images provided by performance monitoring systems 110 via website 190 as described above by FIG. 3 .
  • GUI 120 includes an options menu 200 , an image selection menu 202 , and an image display area 204 .
  • Options menu 200 includes a pull-down menu 206 that enables a user to select a retail store 112 from which the user would like to view digital images provided by the stores performance monitoring system 110 .
  • pull-down menu 206 comprises a list of unique identification numbers corresponding to each retail store 112 (for example, “RS123” as illustrated in FIG. 4 ) from which the user can select, such as by selecting the identification number corresponding to the desired retail store with a mouse.
  • options menu 200 includes a pull-down menu 208 that enables a user to select a desired date from which the user would like to view images for the desired retail store 112 as selected via pull-down menu 206 .
  • pull-down menu 206 comprises the unique identification numbers of only those retail stores 112 to which the user is allowed access as based on the user's password.
  • options menu 200 will include only pull-down menu 208 enabling the user to select a desired date from which to view images of only the retail store 112 with which the user is associated.
  • pull-down menu 206 only the unique identification number of the store with which the user is associated will be displayed.
  • Image selection menu comprises a column 210 of descriptions of monitored locations within the selected retail store (e.g. locations 16 of retail store 12 as illustrated by FIG. 1 ). Each description of column 210 is followed by a row 212 of icons 214 representative of stored images corresponding to the described location within the selected retail store. In one embodiment, each row comprises 24 icons with each icon representative of images acquired during one hour of the day selected via pull-down menu 208 . In one embodiment, as indicated at 216 , the columns of icons are labeled as columns “01” through “23” with the icons in the column labeled “00” representative of digital images acquired between 12:00 am and 1:00 am, the icons in the column labeled “01” representative of digital images acquired between 1:00 am and 2:00 am, and so on.
  • each icon 214 is partitioned into four areas 214 a through 214 d , with each area being representative of one of the four photos acquired during the corresponding hour.
  • icon 214 is representative of images of a first group of check lanes (“check lanes 1”) acquired during time period “23”, wherein time period “23” corresponds to the time period between 11:00 pm to 12:00 am.
  • areas 214 a , 214 b , 214 c and 214 d respectively represent images of the first group of check lanes acquired at 11:00 pm, 11:15 pm, 11:30 pm and 11:45 pm.
  • a user chooses an image to be viewed by selecting one of the icons 214 .
  • a user selects a desired icon, or desired area of an icon, by mouse-clicking the desired icon 214 .
  • the image is displayed within image viewing area 204 .
  • image viewing area 204 includes a title field 218 displaying the description of the store location from column 210 corresponding to the selected image (i.e. the camera from which the selected image originated) and an indication of a time frame 220 corresponding to the selected image.
  • FIG. 5 is a flow diagram illustrating one embodiment of a process 250 according to the present invention for monitoring performance of at least one task associated with operation of a retail store.
  • Process 250 begins at step 252 where cameras are provided at desired locations within the retail store where certain tasks which are desired to be monitored are performed, such as positions 16 illustrated by FIG. 1 .
  • the cameras may be analog video cameras providing analog video signals which are converted into digital video format.
  • the cameras may be digital video cameras providing a digital video signal.
  • the cameras may be digital still cameras providing digital still photos.
  • the cameras may comprise a portion of an existing security surveillance system.
  • images are obtained at selectable intervals from the cameras positioned at step 252 .
  • the images are obtained at regular intervals, such as, for example, 15-minute intervals.
  • the cameras are analog video cameras
  • digital still photos are extracted from the digital video signals obtained from the cameras' analog video signals, wherein the extracted images comprise digital still photos of the corresponding areas monitored by the cameras.
  • the images obtained at step 254 are stored in a memory. In one embodiment, the obtained images are stored in a database.
  • a user such as a store manager, views selected images obtained and stored via steps 254 and 256 .
  • the user manually analyzes at least one factor shown in the viewed images that is related to the performance of a given task in order to evaluate how well the given task was performed. For example, a user may select images of a given location provided by one or more cameras over a certain time period to evaluate the performance of a task that is carried out a that location. For example, a user may select one or more cameras positioned at receiving dock 16 f to monitor how long it takes to unload an incoming shipment of products.
  • factors related to the unloading of the incoming shipment may include the number of employees engaged in unloading the truck, the size of packages being unloaded, and the time required to unload the truck. From the images, the store manager can evaluate generally the number of employees engaged in unloading the truck and from the time interval of the images selected, estimate how long it took to unload the truck.
  • the user may determine that performance of the task needs to be improved. For example, if the truck took too long to unload, more employees may be assigned to this task for future shipments. Also, if from the images it appeared that there were too many employees assigned to unload the truck, fewer employees may be assigned to unload future shipments.
  • FIG. 6 is a flow diagram illustrating one embodiment of a process 270 according to the present invention for determining staffing requirements at one or more check lanes of a retail store.
  • Process 270 begins at step 272 where still images of the one or more check lanes are provided.
  • the still images are digital images.
  • the still images are stored in a storage device.
  • a user such as a store manager selects for viewing one or more images of the one or more check lanes corresponding to a desired time interval.
  • the digital still images are viewed via an electronic viewing device, such as via the display of a personal computer or a personal digital assistant (PDA).
  • PDA personal digital assistant
  • the user manually analyzes the one or more selected images to assess generally the customer conditions at the one or more check lanes. If the images permit, a store manager may thoroughly assess customer conditions by manually counting a number of customers awaiting service at the one or more check lanes. The user may also determine a number of cashiers on duty and estimate a length of time customers wait before being served.
  • the store manager may adjust the number of cashiers on duty at that time of the day based on the conditions shown in the images viewed during step 276 .
  • a store manager may view images obtained from camera 14 a during a selected time interval, such as between 4 pm and 5 pm on a given date, to evaluate the performance of check lanes 16 a .
  • controller 18 obtains images from camera 14 a at fifteen minute intervals, the store manager can view the five images (i.e., 4:00, 4:15, 4:30, 4:45, and 5:00) to determine the number of check lanes open (i.e., staffed with a cashier) and the number of customers at each open check lane in order to determine whether more or few check lanes should be open during that time of the day. Also, a store manager may view images of a same time period each day over an extended time period (e.g., a week, a month, etc.) to determine trends in customer patterns in order to predict how many cashiers should be available and how many check lanes should be open at a given time.
  • an extended time period e.g., a week, a month, etc.
  • One aspect of the present invention relates to retrofitting a retail store's existing security system to provide a performance monitoring system according to the present invention, wherein the existing security system includes a plurality of video cameras each providing a video signal of a corresponding location within the retail store.
  • the retrofitting process includes evaluating the positions of the existing video cameras and to select those existing video cameras that provide images of store locations desired to be monitored. If all desired store locations are not adequately monitored, the process includes adding one or more video cameras to the existing security system in order to adequately monitor such store locations.
  • the process further includes providing a controller adapted to capture digital images from the video signals of selected existing video cameras and newly added video cameras.
  • the process further includes providing a storage device in which to store the captured digital images and providing an interface adapted to enable a user to selectively view the stored digital images in order to evaluate performance of one or more operations taking place at the one or more locations viewed in the digital images.

Abstract

A system for monitoring the performance of at least one task associated with operation of a retail store. The system includes at least one monitoring device positioned and adapted to provide images of at least one location within the retail store, with each image showing at least one factor related to performance of the at least one task. A controller is adapted to obtain and store images from the at least one monitoring device. An interface is adapted to enable a user to selectively view stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task.

Description

    BACKGROUND OF THE INVENTION
  • As the retail industry continues to become more competitive, customer satisfaction is of paramount importance in establishing and maintaining customers. Customer satisfaction depends on a variety of factors such as a customer's perception of price, product availability, well-stocked shelves, ease of finding products within a retail store, cleanliness of the store, and friendliness of employees.
  • However, perhaps the most important factor regarding customer satisfaction is customer service. Of primary concern with regard to customer service is the amount of time a customer must wait when requiring assistance from a store employee. This includes, for example, time spent waiting for assistance at a customer service counter, at a merchandise counter and, of course, time spent waiting in check-out lanes. Generally speaking, the less time spent waiting for assistance, the more satisfied the customer.
  • SUMMARY OF THE INVENTION
  • One embodiment of the present invention relates to a system for monitoring the performance of at least one task associated with operation of a retail store. The system comprises at least one monitoring device positioned and adapted to provide images of at least one location within the retail store, with each image showing at least one factor related to performance of the at least one task. The system further includes a controller and an interface. The controller is adapted to obtain and store images from the at least one monitoring device. The interface is configured to enable a user to selectively view stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task.
  • BRIEF DESCRIPTION OF THE DRAWINGS
  • Embodiments of the invention will be described with respect to the figures, in which like reference numerals denote like elements, and in which:
  • FIG. 1 is block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 2 is a block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 3 is a block diagram illustrating one embodiment of a performance monitoring system according to the present invention.
  • FIG. 4A is an illustration of a graphical user interface for use with one embodiment of a performance monitoring system according to the present invention.
  • FIG. 4B illustrates in greater detail a portion of the graphical user interface of illustrated in FIG. 4A.
  • FIG. 5 is a flow diagram illustrating one embodiment of a process for monitoring the performance of a retail store according to the present invention.
  • FIG. 6 is a flow diagram illustrating another embodiment of a process for determining staffing requirements of a retail store according to the present invention.
  • DETAILED DESCRIPTION
  • FIG. 1 is a block diagram generally illustrating one embodiment of a performance monitoring system 10 according to the present invention for monitoring the performance of at least one task associated with operation of a retail store 12. Performance monitoring system 10 includes a plurality of monitoring devices 14, each positioned to view a corresponding location 16 within retail store 12 and adapted to provide images of the corresponding location 16, each image showing at least one factor related to performance of at the at least one task. In one embodiment, monitoring devices 14 comprise cameras. In one embodiment, monitoring devices 14 comprise analog video cameras adapted to provide analog video of corresponding locations 16. In one embodiment, monitoring devices 14 comprise digital video cameras adapted to provide digital video of corresponding locations 16. As illustrated, analog video cameras 14 a through 14 f respectively correspond to store locations indicated as checkout lanes 14 a, customer service desk 14 b, electronics counter 14 c, jewelry counter 14 d, stockroom 14 e, and receiving area 14 f. Although illustrated as having analog video cameras 14 a through 14 f, monitoring system 10 can include more or fewer cameras 14 at locations other than locations 16 indicated by FIG. 1. Additionally, multiple cameras may be used to monitor a single store location, such as check lanes 16 a.
  • Performance monitoring system 10 further includes a controller 18 and an interface 20. Controller 18 is adapted to automatically obtain and store still images from each of the monitoring devices 14 at selectable intervals. In one embodiment, controller 18 is adapted to obtain still images in a digital format, such as JPG format, for example, from analog video cameras 14 at selected intervals. In one embodiment, the selectable intervals are regular intervals, such as every fifteen minutes, for example.
  • Interface 20 is adapted to enable a user, such as a store manager, to selectively view the stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task. Examples of such factors include number of employees and an amount of unloading time required when evaluating the task of unloading an incoming shipment of products at receiving dock 16 f, and a number of customers awaiting service when evaluating the tasks of processing customers at check lanes 16 a or assisting customers at customer service area 16 b, electronics counter 16 c, and jewelry counter 16 d. Any number of other tasks associated with operation of retail store 12 can be similarly monitored by providing and positioning cameras 14 at other locations within retail store 12 as required.
  • By providing monitoring of selected areas of a retail store, performance monitoring system 10 enables a user, such as a store manager, to evaluate performance of selected tasks associated with the operation of the retail store. Based on such evaluations, performance of certain tasks can be adjusted to improve the store's performance. For example, staffing requirements at certain store locations, particularly at check lanes, can be evaluated and adjusted in order to minimize customer wait times and thereby likely improve customer satisfaction. Furthermore, by storing the images, monitoring system 10 enables a user, such as a store manager, to evaluate the performance of tasks at any suitable time and does not require real-time monitoring.
  • Components of the present invention can be implemented in hardware via a microprocessor, programmable logic, or state machine, in firmware, or in software with a given device. In one aspect, at least a portion of the software programming is web-based and written in HTML and JAVA programming languages, including links to user interfaces, such as a Windows based operating system, and each of the main components may communicate via a network using a communication protocol. For example, the present invention may or may not use a TCP/IP protocol for data transport. Other programming languages and communication protocols suitable for use with the present invention will become apparent to those skilled in the art after reading the present application. Components of the present invention may also reside in software on one or more computer-readable mediums, which is defined herein to include any kind of memory, volatile or non-volatile, such as floppy disks, hard drives, read-only memory (ROM), CD-ROMs, flash memory, and random access memory (RAM).
  • FIG. 2 is a block and schematic diagram illustrating one embodiment of performance monitoring system 10 for retail store 12 as illustrated generally by FIG. 1. Performance monitoring system 10 includes a plurality of analog video cameras 14, such as analog video cameras 14 a through 14 e. Each camera 14 is coupled to a digital video recorder (DVR) 30 via a corresponding link 32. Each camera 14 is configured as a unique channel and provides an analog video signal of its associated store location 16 via corresponding link 32 to DVR 30. DVR 30 includes an analog-to-digital converter (A/D) 34 which converts the analog video signal of each camera (or channel) 14 to a corresponding digital video having a digital video format, such as AVI, for example. DVR 30 is configured to store a predetermined amount of the digital video for each camera 14. In one embodiment, for example, DVR 30 stores a day's worth of digital video for each camera 14, with the stored digital video being replaced with the digital video for each subsequent day.
  • A server 40 is coupled to DVR 30 via a link 42. In one embodiment, controller 18 comprises a monitoring system application (MSA) comprising an electronically readable code which is installed and operating on server 40. In one embodiment, in addition to MSA 18, store server 40 includes various other applications 44 related to operation of retail store 12. MSA 18 is adapted to automatically retrieve digital still images for each camera 14 at regular intervals from DVR 30 via link 42. In one embodiment, MSA 18 is adapted to retrieve the digital still images for each camera by selecting a single frame from a selectable time period of the digital video of each camera stored in DVR 30 and by converting the selected digital video frame from a digital video from, such as AVI, to a digital still picture format, such as JPG. In one embodiment, MSA 18 stores the retrieved digital still images for each camera in a memory 46 according to a directory and file naming convention. In an alternate embodiment, MSA 18 stores the retrieved digital still images in a database 48. Although illustrated as being within server 40, in other embodiments, database 48 could be located external to server 40.
  • In one embodiment, interface 20 comprises a graphical user interface (GUI) adapted to display the digital still photos stored in database 46 and which is viewable via a personal computer (PC) 50 coupled to server 40 via a link 52. Although illustrated as being viewed via PC 50, in other embodiments, GUI 20 may be viewed via other electronic viewing devices, such as a personal digital assistant (PDA) or Blackberry device, for example.
  • In one embodiment, DVR 30 comprises a portion of a security system 60 which further includes a plurality of analog video cameras 62 providing surveillance video of retail store 12 for purposes of assets protection. Surveillance system 60 is controlled by a security system application (SSA) 64 comprising a computer readable code which is installed and operating on store server 40. In one embodiment, analog video cameras 16 are dedicated for use as surveillance cameras for assets protection and analog video cameras 14 are employed both as surveillance cameras by security system 60 and as monitoring cameras by performance monitoring system 10. Security system 60 utilizes the entire video signal of analog video cameras 14 and 62 stored in DVR 30, while performance monitoring system 10 utilizes the digital images obtained by controller 18 and stored in database 46.
  • In one embodiment, security system 60 represents an existing surveillance system within retail store 12. If analog video cameras 62 of security system 60 are already positioned or can be repositioned to view all locations desired to be monitored by performance monitoring system 10 (e.g., locations 16 as illustrated by FIG. 1), analog video cameras 14 are not required and MSA 18 of performance monitoring system 10 can obtain images as necessary from existing analog video cameras 62. However, if analog video cameras 62 of security system 60 are not, or cannot, be positioned to view all desired store locations 16, analog video cameras 14 are added to security system 60 and positioned to view the otherwise non-observed areas. In such a scenario, while the primary function of analog video cameras 14 is to provide images for performance monitoring system 10, analog video signals provided by analog video cameras 14 via links 32 can also be utilized for assets protection purposes by security system 60.
  • In one embodiment, in lieu of a digital recording device, recording device 30 comprises some type of analog recording device, such as one or more video tape recording devices adapted to record the analog video signals received via links 32 from each camera, or channel. In such an embodiment, performance monitoring system 10 further includes a “frame grabber” (FG) 70 adapted to capture at regular intervals a single frame of the analog video signal provided by each camera 14 prior to the analog video signal being recorded by the analog recording device, and to convert the single frame to a digital still image which is subsequently stored in memory 46.
  • In one embodiment, cameras 14 comprise digital still cameras configured to provide digital still images of store locations 16 at intervals as directed by MSA 18. In this embodiment, digital still images from cameras 14 can be stored directly to database 46 as directed by MSA 18. As such, recording device 30 is not required in this embodiment.
  • FIG. 3 is a block diagram illustrating one embodiment of a performance monitoring system 110 according to the present invention configured as a network system distributed across a plurality of retail stores 112 and a headquarters facility 113 of a retail corporation. In one embodiment, as illustrated, each retail store 112 a through 112 n respectively includes a monitoring system 110 a to 110 n. In one embodiment, monitoring systems 110 are similar to monitoring system 10 of retail store 12 described above by FIG. 2, with each monitoring system 110 including a plurality of digital video cameras and a digital recording device (indicated generally at 114), and an MSA 118 and database 146 installed and operating on a server 140. Each monitoring system 110 further includes a GUI 120 viewable via an electronic viewing device, such as PC 150. Headquarters facility 113 includes a server 140 x and at least one electronic viewing device, such as PC 150 x, for viewing GUI 120 x.
  • Monitoring systems 110 a to 110 n of are respectively coupled to a network communications link 180 via communications links 176 a to 176 n and headquarters facility 110 is coupled to network communications link 180 via communications link 176 x. Network communication link 180, as employed herein, includes an Internet communications link, an intranet communication link, or similar high-speed communication link. In one embodiment, network communication link 18 includes an Internet communications link 182. Internet communications link permits communication between performance monitoring systems 110 of stores 112 and between performance monitoring systems 110 of stores 110 and headquarters facility 113.
  • In one embodiment, network communications link 180 includes an Intranet communications link 184 linking retail stores 112 and headquarters facility 113 by means of Internet communications link 182. Intranet communications link 184 provides a controlled-access communications link between stores 112 and headquarters facility 113 which is accessible via a password or other user-recognition mechanism.
  • MSA 118 of monitoring system 110 of each retail store 112 is configured to obtain and store digital images of desired locations within retail store 112 (e.g. locations 16 as illustrated by FIG. 1) in memory 146 of server 140 of corresponding retail store 112. In other embodiments, in lieu of monitoring systems 110 storing digital images in a memory 146 local to each retail store 112, monitoring systems 110 store digital images obtained from corresponding camera and recording devices 114 in a central data base, such as database 192 within server 140 x of headquarters facility 113 or database 194 coupled to network communications link 180 via a communications link 196.
  • In one embodiment, the digital images obtained by MSAs 118 are viewable by users via GUIs 120 which access the digital images stored in data bases 146 of servers 140 via a website 190 located on server 140 x of headquarters facility 113 and network communications link 180. Although illustrated as being located on server 140 x, in other embodiments, website 190 could be located on any server coupled to network communications link 180.
  • In one embodiment, as described briefly above, intranet communications link 184 comprises a controlled-access communications link between stores 112 and headquarters facility 113. In one embodiment, to access the digital photos stored in memories 146, a user, such as a manager of retail store 112 a, enters the URL (Uniform Resource Location), or address, of website 190 into a Web browser located on PC 150 a which subsequently locates website 190 via intranet connection 186. To access website 190, the user enters a username and password. Upon entering a valid username and password, the user can access and view selected stored digital images via GUI 120 a which is displayed by PC 150 a. Although described as being accessed via PC 150, website 190 can be accessed via other types of electronic viewing devices, such as a PDA, for example, and from any location that provides a communication link to intranet 184.
  • In one embodiment, access to viewing stored images is limited based on a user's logon ID. For instance, in one embodiment, based on the user's unique logon ID, a user associated with a given retail store 112 can access only stored images corresponding to the given retail store 112. For example, a manager of retail store 112 a can access only images of locations within retail store 112 a which are stored within memory 146 a, and cannot access images of other retail stores, such as retail store 112 b. In other embodiments, other users, such as certain employees associated with headquarters facility 113, can access images of all retail stores 112 a to 112 n respectively stored in memories 146 a to 146 n. In one embodiment, access to viewing stored images is limited based a location from which access is initiated. For example, in one embodiment, each PC, or workstation, 150 has unique hardware identifier which corresponds, at least in part, to the retail store 112 in which PC 150 is located. As such, a user accessing stored images via PC 150 a, for example, is limited to viewing only those images stored in memory 146 a corresponding to retail store 112 a.
  • FIG. 4A is an illustrative example of GUI 120 for accessing and viewing digital images provided by performance monitoring systems 110 via website 190 as described above by FIG. 3. GUI 120 includes an options menu 200, an image selection menu 202, and an image display area 204. Options menu 200 includes a pull-down menu 206 that enables a user to select a retail store 112 from which the user would like to view digital images provided by the stores performance monitoring system 110. In one embodiment, pull-down menu 206 comprises a list of unique identification numbers corresponding to each retail store 112 (for example, “RS123” as illustrated in FIG. 4) from which the user can select, such as by selecting the identification number corresponding to the desired retail store with a mouse. Similarly, options menu 200 includes a pull-down menu 208 that enables a user to select a desired date from which the user would like to view images for the desired retail store 112 as selected via pull-down menu 206.
  • As described above, in one embodiment, access of images is limited based on a user's unique logon ID or location. As such, in one embodiment, pull-down menu 206 comprises the unique identification numbers of only those retail stores 112 to which the user is allowed access as based on the user's password. Thus, for a user having access to only one retail store 112, options menu 200 will include only pull-down menu 208 enabling the user to select a desired date from which to view images of only the retail store 112 with which the user is associated. In lieu of pull-down menu 206, only the unique identification number of the store with which the user is associated will be displayed.
  • Image selection menu comprises a column 210 of descriptions of monitored locations within the selected retail store (e.g. locations 16 of retail store 12 as illustrated by FIG. 1). Each description of column 210 is followed by a row 212 of icons 214 representative of stored images corresponding to the described location within the selected retail store. In one embodiment, each row comprises 24 icons with each icon representative of images acquired during one hour of the day selected via pull-down menu 208. In one embodiment, as indicated at 216, the columns of icons are labeled as columns “01” through “23” with the icons in the column labeled “00” representative of digital images acquired between 12:00 am and 1:00 am, the icons in the column labeled “01” representative of digital images acquired between 1:00 am and 2:00 am, and so on.
  • In one embodiment, wherein images of desired locations within a retail store are obtained on 15-minute intervals, each icon 214 is partitioned into four areas 214 a through 214 d, with each area being representative of one of the four photos acquired during the corresponding hour. For example, as illustrated by the enlarged view of FIG. 4B, icon 214 is representative of images of a first group of check lanes (“check lanes 1”) acquired during time period “23”, wherein time period “23” corresponds to the time period between 11:00 pm to 12:00 am. As such, areas 214 a, 214 b, 214 c and 214 d respectively represent images of the first group of check lanes acquired at 11:00 pm, 11:15 pm, 11:30 pm and 11:45 pm.
  • After selecting a desired store and a desired date via pull-down menus 206 and 208, a user chooses an image to be viewed by selecting one of the icons 214. In one embodiment, a user selects a desired icon, or desired area of an icon, by mouse-clicking the desired icon 214. Upon selecting a desired image, the image is displayed within image viewing area 204. In one embodiment, image viewing area 204 includes a title field 218 displaying the description of the store location from column 210 corresponding to the selected image (i.e. the camera from which the selected image originated) and an indication of a time frame 220 corresponding to the selected image.
  • FIG. 5 is a flow diagram illustrating one embodiment of a process 250 according to the present invention for monitoring performance of at least one task associated with operation of a retail store. Process 250 begins at step 252 where cameras are provided at desired locations within the retail store where certain tasks which are desired to be monitored are performed, such as positions 16 illustrated by FIG. 1. In one embodiment, as described above, the cameras may be analog video cameras providing analog video signals which are converted into digital video format. In one embodiment, the cameras may be digital video cameras providing a digital video signal. In one embodiment, the cameras may be digital still cameras providing digital still photos. In one embodiment, the cameras may comprise a portion of an existing security surveillance system.
  • At step 254, images are obtained at selectable intervals from the cameras positioned at step 252. In one embodiment, the images are obtained at regular intervals, such as, for example, 15-minute intervals. In one embodiment, wherein the cameras are analog video cameras, digital still photos are extracted from the digital video signals obtained from the cameras' analog video signals, wherein the extracted images comprise digital still photos of the corresponding areas monitored by the cameras. At step 254, the images obtained at step 254 are stored in a memory. In one embodiment, the obtained images are stored in a database.
  • At step 258, a user, such as a store manager, views selected images obtained and stored via steps 254 and 256. At step 260, the user manually analyzes at least one factor shown in the viewed images that is related to the performance of a given task in order to evaluate how well the given task was performed. For example, a user may select images of a given location provided by one or more cameras over a certain time period to evaluate the performance of a task that is carried out a that location. For example, a user may select one or more cameras positioned at receiving dock 16 f to monitor how long it takes to unload an incoming shipment of products. In this instance, factors related to the unloading of the incoming shipment may include the number of employees engaged in unloading the truck, the size of packages being unloaded, and the time required to unload the truck. From the images, the store manager can evaluate generally the number of employees engaged in unloading the truck and from the time interval of the images selected, estimate how long it took to unload the truck.
  • At step 262, based on the evaluation of the images at step 260, the user may determine that performance of the task needs to be improved. For example, if the truck took too long to unload, more employees may be assigned to this task for future shipments. Also, if from the images it appeared that there were too many employees assigned to unload the truck, fewer employees may be assigned to unload future shipments.
  • FIG. 6 is a flow diagram illustrating one embodiment of a process 270 according to the present invention for determining staffing requirements at one or more check lanes of a retail store. Process 270 begins at step 272 where still images of the one or more check lanes are provided. In one embodiment, the still images are digital images. At step 274, the still images are stored in a storage device.
  • At step 276, a user, such as a store manager, selects for viewing one or more images of the one or more check lanes corresponding to a desired time interval. In one embodiment, the digital still images are viewed via an electronic viewing device, such as via the display of a personal computer or a personal digital assistant (PDA). At step 278, the user manually analyzes the one or more selected images to assess generally the customer conditions at the one or more check lanes. If the images permit, a store manager may thoroughly assess customer conditions by manually counting a number of customers awaiting service at the one or more check lanes. The user may also determine a number of cashiers on duty and estimate a length of time customers wait before being served.
  • At step 278, the store manager may adjust the number of cashiers on duty at that time of the day based on the conditions shown in the images viewed during step 276. For example, with reference to FIG. 1, a store manager may view images obtained from camera 14 a during a selected time interval, such as between 4 pm and 5 pm on a given date, to evaluate the performance of check lanes 16 a. For instance, if controller 18 obtains images from camera 14 a at fifteen minute intervals, the store manager can view the five images (i.e., 4:00, 4:15, 4:30, 4:45, and 5:00) to determine the number of check lanes open (i.e., staffed with a cashier) and the number of customers at each open check lane in order to determine whether more or few check lanes should be open during that time of the day. Also, a store manager may view images of a same time period each day over an extended time period (e.g., a week, a month, etc.) to determine trends in customer patterns in order to predict how many cashiers should be available and how many check lanes should be open at a given time.
  • One aspect of the present invention, as described briefly above with respect to FIG. 2, relates to retrofitting a retail store's existing security system to provide a performance monitoring system according to the present invention, wherein the existing security system includes a plurality of video cameras each providing a video signal of a corresponding location within the retail store. The retrofitting process includes evaluating the positions of the existing video cameras and to select those existing video cameras that provide images of store locations desired to be monitored. If all desired store locations are not adequately monitored, the process includes adding one or more video cameras to the existing security system in order to adequately monitor such store locations.
  • The process further includes providing a controller adapted to capture digital images from the video signals of selected existing video cameras and newly added video cameras. The process further includes providing a storage device in which to store the captured digital images and providing an interface adapted to enable a user to selectively view the stored digital images in order to evaluate performance of one or more operations taking place at the one or more locations viewed in the digital images.
  • Although the invention has been described with respect to particular embodiments, such embodiments are for illustrative purposes only and should not be considered to limit the invention. Various alternatives and changes will be apparent to those of ordinary skill in the art.

Claims (28)

1. A system for monitoring the performance of at least one task associated with operation of a retail store, the system comprising:
at least one monitoring device positioned and adapted to provide images of at least one location within the retail store, each image showing at least one factor related to performance of the at least one task;
a controller adapted to obtain and store images from the at least one monitoring device; and
an interface adapted to enable a user to selectively view stored images and to manually analyze the at least one factor shown in the viewed images to evaluate the performance of the at least one task.
2. The system of claim 1, wherein the at least one monitoring device comprises a video camera providing a video signal of the at least one location.
3. The system of claim 1, wherein the at least one monitoring device comprises a digital still camera.
4. The system of claim 1, wherein the controller is adapted to obtain and store images at selectable intervals.
5. The system of claim 1, wherein the controller comprises an electronically readable code.
6. The system of claim 1, wherein the interface comprises a graphical user interface including icons representative of selected stored images.
7. The system of claim 1, wherein the at least one factor comprises a number of retail store customers awaiting service at the least one location.
8. A performance evaluation system comprising:
a first monitoring system adapted to provide and store images of at least one task being performed at a first facility;
a second monitoring system adapted to provide and store images of at least one task being performed at a second facility; and
an interface adapted to enable selective viewing of the stored images and manual evaluation of the at least one task based on the viewed images, wherein a first user associated with the first facility can view only stored images of the first facility, a second user associated with the second facility can view only stored images of the second facility, and a third user associated with the first and second facilities can view stored images of the both the first and second facilities.
9. The system of claim 8, wherein the first facility is a first retail store, the second facility is a second retail store, and the third user is associated with a headquarters facility of a retail corporation that includes the first and second retail stores.
10. The system of claim 8, wherein the interface and the first and second monitoring systems are coupled via a communications link.
11. The system of claim 10, wherein the communications link includes the Internet.
12. The system of claim 11, wherein the communications link comprises an intranet having restricted access.
13. The system of claim 12, wherein the interface comprises a website.
14. The system of claim 8, wherein the first monitoring system stores images locally at the first facility and the second monitoring system stores images locally at the second facility.
15. The system of claim 8, wherein the first and second monitoring systems store images at a location remote from the first and second facilities.
16. A performance monitoring system for a retail store, the system comprising:
means for providing images of at least one location within the retail store;
means for storing the images; and
means for viewing stored images to enable a user to manually evaluate a performance of at least one task associated with operation of the retail store occurring at the at least one location.
17. The system of claim 16, wherein the means for providing images includes means for providing images at selectable intervals.
18. The system of claim 16, wherein means for providing images further comprises:
means for providing a digital video signal of the at least one location; and
means for obtaining digital still images from the digital video signal at selectable intervals.
19. A method of operating a retail store, the method comprising:
capturing images of at least one location within the retail store;
storing the captured images at a storage location;
viewing selected images stored at the storage location; and
evaluating a performance of at least one task occurring at the least one location within the retail store by manually analyzing the viewed images.
20. The method of claim 19, further including:
adjusting the performance of the at least one task based on the evaluation.
21. The method of claim 19, wherein capturing images further comprises:
positioning at least one camera to view the at least one location; and
providing images of the at least one location with the at least one camera.
22. The method of claim 21, wherein the at least one camera comprises a digital video camera providing a digital video signal, and wherein capturing images further comprises:
obtaining digital still photos from the digital video signal at selectable intervals.
23. A method for determining staffing requirements of a retail store, the method comprising:
providing digital images of one or more check lanes at selectable intervals each day;
storing the digital images in a storage device;
viewing selected stored digital images;
counting manually a number of customers awaiting service at each of the one or more check lanes in the selected digital images; and
determining staffing requirement based on the counting.
24. The method of claim 23, further comprising:
determining customer trends based on the number of customers counted in the selected digital images.
25. The method of claim 24, further comprising:
providing a number of cashiers based on the customer trends.
26. The method of claim 24, further comprising
determining customer trends for a given day of the week during a selected time period by counting the number of customers awaiting service at each of the one or more check lanes in each stored digital image at each selectable time interval for each given day of the week over the selected time period.
27. A method of retrofitting a retail store's existing security system to provide performance monitoring of store operations, the existing security system including a plurality of video cameras, each video camera providing a video signal of a corresponding location within the retail store, the method comprising:
providing a controller adapted to capture digital images from the video signals of selected video cameras of the existing security system;
providing a storage device to store the captured digital images; and
providing an interface adapted to enable a user to selectively view the stored digital images in order to evaluate performance of one or more operations occurring at one or more locations corresponding to the digital images viewed.
28. The method of claim 27, further comprising:
adding one or more video cameras to the existing security system to provide video of additional locations within the retail store to enable monitoring of operations occurring at the additional locations, wherein the additional locations would not otherwise be monitored for security purposes.
US10/980,574 2004-11-03 2004-11-03 System and method for monitoring retail store performance Abandoned US20060095317A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
US10/980,574 US20060095317A1 (en) 2004-11-03 2004-11-03 System and method for monitoring retail store performance
US12/616,078 US8170909B2 (en) 2004-11-03 2009-11-10 System and method for monitoring retail store performance

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US10/980,574 US20060095317A1 (en) 2004-11-03 2004-11-03 System and method for monitoring retail store performance

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US12/616,078 Continuation US8170909B2 (en) 2004-11-03 2009-11-10 System and method for monitoring retail store performance

Publications (1)

Publication Number Publication Date
US20060095317A1 true US20060095317A1 (en) 2006-05-04

Family

ID=36263221

Family Applications (2)

Application Number Title Priority Date Filing Date
US10/980,574 Abandoned US20060095317A1 (en) 2004-11-03 2004-11-03 System and method for monitoring retail store performance
US12/616,078 Active 2025-08-20 US8170909B2 (en) 2004-11-03 2009-11-10 System and method for monitoring retail store performance

Family Applications After (1)

Application Number Title Priority Date Filing Date
US12/616,078 Active 2025-08-20 US8170909B2 (en) 2004-11-03 2009-11-10 System and method for monitoring retail store performance

Country Status (1)

Country Link
US (2) US20060095317A1 (en)

Cited By (29)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008106110A1 (en) * 2007-02-26 2008-09-04 Quentin Olson Point of sale video server processing system
US20100110183A1 (en) * 2008-10-31 2010-05-06 International Business Machines Corporation Automatically calibrating regions of interest for video surveillance
US20100114746A1 (en) * 2008-10-31 2010-05-06 International Business Machines Corporation Generating an alert based on absence of a given person in a transaction
US20110061013A1 (en) * 2009-09-08 2011-03-10 Target Brands, Inc. Operations dashboard
US20120098925A1 (en) * 2010-10-21 2012-04-26 Charles Dasher Panoramic video with virtual panning capability
US8612286B2 (en) * 2008-10-31 2013-12-17 International Business Machines Corporation Creating a training tool
US8817094B1 (en) 2010-02-25 2014-08-26 Target Brands, Inc. Video storage optimization
US20150127431A1 (en) * 2013-11-05 2015-05-07 Wal-Mart Stores, Inc. Performance Evaluation System for Stores
EP2679041A4 (en) * 2011-02-22 2017-01-18 Theatro Labs, Inc. Observation platform for using structured communications
US20170039503A1 (en) * 2015-08-05 2017-02-09 Wal-Mart Stores, Inc. Productivity evaluation systems and methods
US9602625B2 (en) 2011-02-22 2017-03-21 Theatrolabs, Inc. Mediating a communication in an observation platform
US20170083850A1 (en) * 2014-05-13 2017-03-23 Wal-Mart Stores, Inc. Systems and methods for cashier scheduling
US9686732B2 (en) 2011-02-22 2017-06-20 Theatrolabs, Inc. Observation platform for using structured communications with distributed traffic flow
US20170364854A1 (en) * 2014-12-04 2017-12-21 Nec Corporation Information processing device, conduct evaluation method, and program storage medium
US20180075461A1 (en) * 2015-04-17 2018-03-15 Panasonic Intellectual Property Management Co., Ltd. Customer behavior analysis device and customer behavior analysis system
US9928529B2 (en) 2011-02-22 2018-03-27 Theatrolabs, Inc. Observation platform for performing structured communications
US10069781B2 (en) 2015-09-29 2018-09-04 Theatro Labs, Inc. Observation platform using structured communications with external devices and systems
US10134001B2 (en) 2011-02-22 2018-11-20 Theatro Labs, Inc. Observation platform using structured communications for gathering and reporting employee performance information
US10204524B2 (en) 2011-02-22 2019-02-12 Theatro Labs, Inc. Observation platform for training, monitoring and mining structured communications
US20190095848A1 (en) * 2017-09-27 2019-03-28 Fuji Xerox Co., Ltd. Action-information processing apparatus
US10257085B2 (en) 2011-02-22 2019-04-09 Theatro Labs, Inc. Observation platform for using structured communications with cloud computing
US10375133B2 (en) 2011-02-22 2019-08-06 Theatro Labs, Inc. Content distribution and data aggregation for scalability of observation platforms
US10474972B2 (en) * 2014-10-28 2019-11-12 Panasonic Intellectual Property Management Co., Ltd. Facility management assistance device, facility management assistance system, and facility management assistance method for performance analysis based on review of captured images
US10489269B2 (en) 2016-07-22 2019-11-26 Walmart Apollo, Llc Systems, devices, and methods for generating terminal resource recommendations
US10699313B2 (en) 2011-02-22 2020-06-30 Theatro Labs, Inc. Observation platform for performing structured communications
US11042885B2 (en) 2017-09-15 2021-06-22 Pearson Education, Inc. Digital credential system for employer-based skills analysis
US11599843B2 (en) 2011-02-22 2023-03-07 Theatro Labs, Inc. Configuring , deploying, and operating an application for structured communications for emergency response and tracking
US11605043B2 (en) 2011-02-22 2023-03-14 Theatro Labs, Inc. Configuring, deploying, and operating an application for buy-online-pickup-in-store (BOPIS) processes, actions and analytics
US11636420B2 (en) 2011-02-22 2023-04-25 Theatro Labs, Inc. Configuring, deploying, and operating applications for structured communications within observation platforms

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10271017B2 (en) 2012-09-13 2019-04-23 General Electric Company System and method for generating an activity summary of a person
US8502869B1 (en) 2008-09-03 2013-08-06 Target Brands Inc. End cap analytic monitoring method and apparatus
US20120109700A1 (en) * 2010-11-01 2012-05-03 Target Brands, Inc. Payroll System Optimization
US20130027561A1 (en) * 2011-07-29 2013-01-31 Panasonic Corporation System and method for improving site operations by detecting abnormalities
US20130030875A1 (en) * 2011-07-29 2013-01-31 Panasonic Corporation System and method for site abnormality recording and notification
US9317842B2 (en) 2012-04-10 2016-04-19 Bank Of America Corporation Dynamic allocation of video resources
US10839227B2 (en) 2012-08-29 2020-11-17 Conduent Business Services, Llc Queue group leader identification
US9684881B2 (en) 2013-06-26 2017-06-20 Verint Americas Inc. System and method of workforce optimization
US9824323B1 (en) 2014-08-11 2017-11-21 Walgreen Co. Gathering in-store employee ratings using triggered feedback solicitations
US10068221B1 (en) 2014-10-29 2018-09-04 Walgreen Co. Using a mobile computing device camera to trigger state-based actions
US9904903B1 (en) 2014-10-31 2018-02-27 Walgreen Co. Drive-thru system implementing location tracking
US9679426B1 (en) 2016-01-04 2017-06-13 Bank Of America Corporation Malfeasance detection based on identification of device signature
US10373131B2 (en) 2016-01-04 2019-08-06 Bank Of America Corporation Recurring event analyses and data push
US10547978B1 (en) 2018-09-04 2020-01-28 Walgreen Co. Two-way communication system implementing location tracking
CA3177901C (en) * 2020-06-01 2024-01-02 Ido Merkado Systems and methods for retail environments
US11574478B2 (en) 2020-06-30 2023-02-07 Microsoft Technology Licensing, Llc Machine perception using video/image sensors in an edge/service computing system architecture

Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5097328A (en) * 1990-10-16 1992-03-17 Boyette Robert B Apparatus and a method for sensing events from a remote location
US5111291A (en) * 1990-07-06 1992-05-05 Commonwealth Edison Company Auto freeze frame display for intrusion monitoring system
US5455561A (en) * 1994-08-02 1995-10-03 Brown; Russell R. Automatic security monitor reporter
US5551021A (en) * 1993-07-30 1996-08-27 Olympus Optical Co., Ltd. Image storing managing apparatus and method for retreiving and displaying merchandise and customer specific sales information
US5581625A (en) * 1994-01-31 1996-12-03 International Business Machines Corporation Stereo vision system for counting items in a queue
US5974219A (en) * 1995-10-11 1999-10-26 Hitachi, Ltd. Control method for detecting change points in motion picture images and for stopping reproduction thereof and control system for monitoring picture images utilizing the same
US6011537A (en) * 1997-01-27 2000-01-04 Slotznick; Benjamin System for delivering and simultaneously displaying primary and secondary information, and for displaying only the secondary information during interstitial space
US6016139A (en) * 1992-11-05 2000-01-18 Sony Corporation Motion picture reproducing and recording/reproduction apparatus
US6195121B1 (en) * 1996-08-08 2001-02-27 Ncr Corporation System and method for detecting and analyzing a queue
US20030212567A1 (en) * 2002-05-07 2003-11-13 Hitachi Ltd. Witness information service with image capturing and sharing
US6714236B1 (en) * 1999-09-14 2004-03-30 Matsushita Electric Industrial Co., Ltd. Security camera system and displaying method by security camera
US6788333B1 (en) * 2000-07-07 2004-09-07 Microsoft Corporation Panoramic video
US20050073585A1 (en) * 2003-09-19 2005-04-07 Alphatech, Inc. Tracking systems and methods
US20060053342A1 (en) * 2004-09-09 2006-03-09 Bazakos Michael E Unsupervised learning of events in a video sequence
US20080059274A1 (en) * 2006-08-22 2008-03-06 Stuart Holliday Automatic self-optimizing queue management system

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5390107A (en) * 1993-04-28 1995-02-14 Datatec Industries Inc. Checkout lane alert system and method
JP3314803B2 (en) 1996-04-26 2002-08-19 株式会社タツノ・メカトロニクス Monitoring equipment for gas stations
US7286158B1 (en) * 1999-12-22 2007-10-23 Axcess International Inc. Method and system for providing integrated remote monitoring services
US20020016971A1 (en) * 2000-03-31 2002-02-07 Berezowski David M. Personal video recording system with home surveillance feed
US6970810B1 (en) * 2000-07-31 2005-11-29 Ncr Corporation Method and apparatus for storing retail performance metrics
US20030098910A1 (en) * 2001-11-29 2003-05-29 Pilsoo Kim Apparatus and method of providing point-of-sale surveillance and auditing of sale transactions of goods
US7688349B2 (en) * 2001-12-07 2010-03-30 International Business Machines Corporation Method of detecting and tracking groups of people
JP2003242587A (en) 2002-02-15 2003-08-29 Toshiba Corp Monitoring system
JP2003244506A (en) 2002-02-19 2003-08-29 Olympus Optical Co Ltd Digital camera
US6847393B2 (en) * 2002-04-19 2005-01-25 Wren Technology Group Method and system for monitoring point of sale exceptions
US7558739B2 (en) * 2002-10-22 2009-07-07 Avaya Inc. Method and apparatus for meeting an on-site enterprise service level objective
US6980088B2 (en) * 2003-08-05 2005-12-27 Rsds Holdings, Llc Restaurant table turn system network
US7444287B2 (en) * 2004-07-01 2008-10-28 Emc Corporation Efficient monitoring system and method
US7792256B1 (en) * 2005-03-25 2010-09-07 Arledge Charles E System and method for remotely monitoring, controlling, and managing devices at one or more premises
US7482927B2 (en) * 2006-01-05 2009-01-27 Long Range Systems, Inc. Surveillance and alerting system and method

Patent Citations (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5111291B1 (en) * 1990-07-06 1999-09-28 Commw Edison Co Auto freeze frame display for intrusion monitoring system
US5111291A (en) * 1990-07-06 1992-05-05 Commonwealth Edison Company Auto freeze frame display for intrusion monitoring system
US5097328A (en) * 1990-10-16 1992-03-17 Boyette Robert B Apparatus and a method for sensing events from a remote location
US6016139A (en) * 1992-11-05 2000-01-18 Sony Corporation Motion picture reproducing and recording/reproduction apparatus
US5551021A (en) * 1993-07-30 1996-08-27 Olympus Optical Co., Ltd. Image storing managing apparatus and method for retreiving and displaying merchandise and customer specific sales information
US5581625A (en) * 1994-01-31 1996-12-03 International Business Machines Corporation Stereo vision system for counting items in a queue
US5455561A (en) * 1994-08-02 1995-10-03 Brown; Russell R. Automatic security monitor reporter
US5974219A (en) * 1995-10-11 1999-10-26 Hitachi, Ltd. Control method for detecting change points in motion picture images and for stopping reproduction thereof and control system for monitoring picture images utilizing the same
US6195121B1 (en) * 1996-08-08 2001-02-27 Ncr Corporation System and method for detecting and analyzing a queue
US6011537A (en) * 1997-01-27 2000-01-04 Slotznick; Benjamin System for delivering and simultaneously displaying primary and secondary information, and for displaying only the secondary information during interstitial space
US6714236B1 (en) * 1999-09-14 2004-03-30 Matsushita Electric Industrial Co., Ltd. Security camera system and displaying method by security camera
US6788333B1 (en) * 2000-07-07 2004-09-07 Microsoft Corporation Panoramic video
US20030212567A1 (en) * 2002-05-07 2003-11-13 Hitachi Ltd. Witness information service with image capturing and sharing
US20050073585A1 (en) * 2003-09-19 2005-04-07 Alphatech, Inc. Tracking systems and methods
US20060053342A1 (en) * 2004-09-09 2006-03-09 Bazakos Michael E Unsupervised learning of events in a video sequence
US20080059274A1 (en) * 2006-08-22 2008-03-06 Stuart Holliday Automatic self-optimizing queue management system

Cited By (58)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008106110A1 (en) * 2007-02-26 2008-09-04 Quentin Olson Point of sale video server processing system
US20100110183A1 (en) * 2008-10-31 2010-05-06 International Business Machines Corporation Automatically calibrating regions of interest for video surveillance
US20100114746A1 (en) * 2008-10-31 2010-05-06 International Business Machines Corporation Generating an alert based on absence of a given person in a transaction
US8345101B2 (en) 2008-10-31 2013-01-01 International Business Machines Corporation Automatically calibrating regions of interest for video surveillance
US8429016B2 (en) 2008-10-31 2013-04-23 International Business Machines Corporation Generating an alert based on absence of a given person in a transaction
US8612286B2 (en) * 2008-10-31 2013-12-17 International Business Machines Corporation Creating a training tool
US9280777B2 (en) * 2009-09-08 2016-03-08 Target Brands, Inc. Operations dashboard
US20110061013A1 (en) * 2009-09-08 2011-03-10 Target Brands, Inc. Operations dashboard
US8817094B1 (en) 2010-02-25 2014-08-26 Target Brands, Inc. Video storage optimization
US20120098925A1 (en) * 2010-10-21 2012-04-26 Charles Dasher Panoramic video with virtual panning capability
US10375133B2 (en) 2011-02-22 2019-08-06 Theatro Labs, Inc. Content distribution and data aggregation for scalability of observation platforms
US11900302B2 (en) 2011-02-22 2024-02-13 Theatro Labs, Inc. Provisioning and operating an application for structured communications for emergency response and external system integration
US11735060B2 (en) 2011-02-22 2023-08-22 Theatro Labs, Inc. Observation platform for training, monitoring, and mining structured communications
US9602625B2 (en) 2011-02-22 2017-03-21 Theatrolabs, Inc. Mediating a communication in an observation platform
US11683357B2 (en) 2011-02-22 2023-06-20 Theatro Labs, Inc. Managing and distributing content in a plurality of observation platforms
US9686732B2 (en) 2011-02-22 2017-06-20 Theatrolabs, Inc. Observation platform for using structured communications with distributed traffic flow
US9691047B2 (en) 2011-02-22 2017-06-27 Theatrolabs, Inc. Observation platform for using structured communications
US11636420B2 (en) 2011-02-22 2023-04-25 Theatro Labs, Inc. Configuring, deploying, and operating applications for structured communications within observation platforms
US11605043B2 (en) 2011-02-22 2023-03-14 Theatro Labs, Inc. Configuring, deploying, and operating an application for buy-online-pickup-in-store (BOPIS) processes, actions and analytics
US9928529B2 (en) 2011-02-22 2018-03-27 Theatrolabs, Inc. Observation platform for performing structured communications
US9971983B2 (en) 2011-02-22 2018-05-15 Theatro Labs, Inc. Observation platform for using structured communications
US9971984B2 (en) 2011-02-22 2018-05-15 Theatro Labs, Inc. Observation platform for using structured communications
EP2679041A4 (en) * 2011-02-22 2017-01-18 Theatro Labs, Inc. Observation platform for using structured communications
US10134001B2 (en) 2011-02-22 2018-11-20 Theatro Labs, Inc. Observation platform using structured communications for gathering and reporting employee performance information
US10204524B2 (en) 2011-02-22 2019-02-12 Theatro Labs, Inc. Observation platform for training, monitoring and mining structured communications
US11949758B2 (en) 2011-02-22 2024-04-02 Theatro Labs, Inc. Detecting under-utilized features and providing training, instruction, or technical support in an observation platform
US10257085B2 (en) 2011-02-22 2019-04-09 Theatro Labs, Inc. Observation platform for using structured communications with cloud computing
US10304094B2 (en) 2011-02-22 2019-05-28 Theatro Labs, Inc. Observation platform for performing structured communications
US11907884B2 (en) 2011-02-22 2024-02-20 Theatro Labs, Inc. Moderating action requests and structured communications within an observation platform
US11599843B2 (en) 2011-02-22 2023-03-07 Theatro Labs, Inc. Configuring , deploying, and operating an application for structured communications for emergency response and tracking
US11563826B2 (en) 2011-02-22 2023-01-24 Theatro Labs, Inc. Detecting under-utilized features and providing training, instruction, or technical support in an observation platform
US11797904B2 (en) 2011-02-22 2023-10-24 Theatro Labs, Inc. Generating performance metrics for users within an observation platform environment
US10536371B2 (en) 2011-02-22 2020-01-14 Theatro Lab, Inc. Observation platform for using structured communications with cloud computing
US10558938B2 (en) 2011-02-22 2020-02-11 Theatro Labs, Inc. Observation platform using structured communications for generating, reporting and creating a shared employee performance library
US10574784B2 (en) 2011-02-22 2020-02-25 Theatro Labs, Inc. Structured communications in an observation platform
US10586199B2 (en) 2011-02-22 2020-03-10 Theatro Labs, Inc. Observation platform for using structured communications
US10699313B2 (en) 2011-02-22 2020-06-30 Theatro Labs, Inc. Observation platform for performing structured communications
US10785274B2 (en) 2011-02-22 2020-09-22 Theatro Labs, Inc. Analysis of content distribution using an observation platform
US11038982B2 (en) 2011-02-22 2021-06-15 Theatro Labs, Inc. Mediating a communication in an observation platform
US11900303B2 (en) 2011-02-22 2024-02-13 Theatro Labs, Inc. Observation platform collaboration integration
US11128565B2 (en) 2011-02-22 2021-09-21 Theatro Labs, Inc. Observation platform for using structured communications with cloud computing
US11205148B2 (en) 2011-02-22 2021-12-21 Theatro Labs, Inc. Observation platform for using structured communications
US11257021B2 (en) 2011-02-22 2022-02-22 Theatro Labs, Inc. Observation platform using structured communications for generating, reporting and creating a shared employee performance library
US11283848B2 (en) 2011-02-22 2022-03-22 Theatro Labs, Inc. Analysis of content distribution using an observation platform
US11868943B2 (en) 2011-02-22 2024-01-09 Theatro Labs, Inc. Business metric identification from structured communication
US11410208B2 (en) 2011-02-22 2022-08-09 Theatro Labs, Inc. Observation platform for determining proximity of device users
US20150127431A1 (en) * 2013-11-05 2015-05-07 Wal-Mart Stores, Inc. Performance Evaluation System for Stores
US20170083850A1 (en) * 2014-05-13 2017-03-23 Wal-Mart Stores, Inc. Systems and methods for cashier scheduling
US10474972B2 (en) * 2014-10-28 2019-11-12 Panasonic Intellectual Property Management Co., Ltd. Facility management assistance device, facility management assistance system, and facility management assistance method for performance analysis based on review of captured images
US20170364854A1 (en) * 2014-12-04 2017-12-21 Nec Corporation Information processing device, conduct evaluation method, and program storage medium
US20180075461A1 (en) * 2015-04-17 2018-03-15 Panasonic Intellectual Property Management Co., Ltd. Customer behavior analysis device and customer behavior analysis system
US20170039503A1 (en) * 2015-08-05 2017-02-09 Wal-Mart Stores, Inc. Productivity evaluation systems and methods
US10069781B2 (en) 2015-09-29 2018-09-04 Theatro Labs, Inc. Observation platform using structured communications with external devices and systems
US10313289B2 (en) 2015-09-29 2019-06-04 Theatro Labs, Inc. Observation platform using structured communications with external devices and systems
US10489269B2 (en) 2016-07-22 2019-11-26 Walmart Apollo, Llc Systems, devices, and methods for generating terminal resource recommendations
US11341508B2 (en) * 2017-09-15 2022-05-24 Pearson Education, Inc. Automatically certifying worker skill credentials based on monitoring worker actions in a virtual reality simulation environment
US11042885B2 (en) 2017-09-15 2021-06-22 Pearson Education, Inc. Digital credential system for employer-based skills analysis
US20190095848A1 (en) * 2017-09-27 2019-03-28 Fuji Xerox Co., Ltd. Action-information processing apparatus

Also Published As

Publication number Publication date
US20100131340A1 (en) 2010-05-27
US8170909B2 (en) 2012-05-01

Similar Documents

Publication Publication Date Title
US8170909B2 (en) System and method for monitoring retail store performance
US6847393B2 (en) Method and system for monitoring point of sale exceptions
CN103971469A (en) Customer Service Status Analysis Device, Customer Service Status Analysis System And Customer Service Status Analysis Method
US20070260429A1 (en) Method and apparatus for monitoring
US20070268121A1 (en) On-line portal system and method for management of devices and services
US9336830B1 (en) Techniques for analyzing operations of one or more restaurants
EP3076351A1 (en) Product monitoring device, product monitoring system, and product monitoring method
US7843490B2 (en) Method and system for image information processing and analysis
US20070250232A1 (en) Automated Vehicle Check-In Inspection Method and System With Digital Image Archiving
US20200349820A1 (en) Theft monitoring and identification system for self-service point of sale
EP2163095A2 (en) System and method for integrating video analytics and data analytics/mining
US20040111324A1 (en) Integrated point-of-sale and surveillance system
US20080208698A1 (en) Point of sale video server processing system
US20180157917A1 (en) Image auditing method and system
CN115880611A (en) Cash receiving loss prevention method, device, equipment and storage medium
US20150088594A1 (en) Techniques for analyzing restaurant operations
KR101600860B1 (en) Image comparing and managing system based on event
US20180300802A1 (en) Facility imaging device, facility image collecting device, facility image storage device, facility image output control device, facility operation support device, user terminal device, and facility operation support method
JP2007179302A (en) Store analyzing system, server for store analyzing system, and its control program
KR20180109807A (en) System and method for mornitoring transactions using pos terminal and camera in store
US20070285513A1 (en) Printer emulator
KR20170096463A (en) System and method for mornitoring transactions using pos terminal and camera in store
JP2023101328A (en) Store operation support system and store operation support method
JP2020027384A (en) Store management system, management server, and store management method
JP2015049554A (en) Display control device and program

Legal Events

Date Code Title Description
AS Assignment

Owner name: TARGET BRANDS, INC., MINNESOTA

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:BROWN, ROBERT KRUGER;MCDONALD, GREGORY ALLEN;SLETTEDAHL, CAROLINE LOUISE;AND OTHERS;REEL/FRAME:015955/0472;SIGNING DATES FROM 20041029 TO 20041101

AS Assignment

Owner name: TARGET BRANDS, INC., MINNESOTA

Free format text: CORRECTED ASSIGNMENT COVER SHEET TO CORRECT INCORRECT INVENTOR NAME;ASSIGNORS:BROWN, ROBERT KRUGER;MCDONALD, GREGORY ALLEN;SLETTEDAHL, CAROLINE LOUISE;AND OTHERS;REEL/FRAME:016217/0851;SIGNING DATES FROM 20041029 TO 20041101

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION