WO2020255795A1 - 店舗管理システム、店舗管理方法、コンピュータプログラム及び記録媒体 - Google Patents

店舗管理システム、店舗管理方法、コンピュータプログラム及び記録媒体 Download PDF

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Publication number
WO2020255795A1
WO2020255795A1 PCT/JP2020/022688 JP2020022688W WO2020255795A1 WO 2020255795 A1 WO2020255795 A1 WO 2020255795A1 JP 2020022688 W JP2020022688 W JP 2020022688W WO 2020255795 A1 WO2020255795 A1 WO 2020255795A1
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WO
WIPO (PCT)
Prior art keywords
store
customer
face image
notification
acquisition
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.)
Ceased
Application number
PCT/JP2020/022688
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English (en)
French (fr)
Japanese (ja)
Inventor
充敬 森崎
元 清水
正道 田辺
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.)
NEC Corp
Original Assignee
NEC Corp
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 NEC Corp filed Critical NEC Corp
Priority to JP2021528116A priority Critical patent/JP7533460B2/ja
Priority to US17/619,797 priority patent/US12536833B2/en
Priority to CN202080045081.0A priority patent/CN113994401A/zh
Publication of WO2020255795A1 publication Critical patent/WO2020255795A1/ja
Anticipated expiration legal-status Critical
Priority to JP2024122497A priority patent/JP7743897B2/ja
Priority to US19/324,284 priority patent/US20260011177A1/en
Priority to US19/324,440 priority patent/US20260011178A1/en
Ceased legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161—Detection; Localisation; Normalisation
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/50—Maintenance of biometric data or enrolment thereof
    • G06V40/53—Measures to keep reference information secret, e.g. cancellable biometrics
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C9/00—Individual registration on entry or exit
    • G07C9/30—Individual registration on entry or exit not involving the use of a pass
    • G—PHYSICS
    • G07—CHECKING-DEVICES
    • G07G—REGISTERING THE RECEIPT OF CASH, VALUABLES, OR TOKENS
    • G07G1/00—Cash registers
    • G07G1/12—Cash registers electronically operated

Definitions

  • the present invention relates to a technical field of a store management system for managing a customer's entry into a store, a store management method, a computer program, and a recording medium.
  • Patent Document 1 a face image of a store entrant or a store clerk is photographed, and when the photographed face data can be collated with a pre-stored one, the customer is permitted to enter or leave the store.
  • the technology is disclosed.
  • Patent Document 2 discloses a technique for registering a user as a suspicious person or the like and not unlocking the entrance / exit when the face image of the user and the face image for authentication do not match.
  • Patent Document 3 discloses a technique for outputting information indicating that a customer requiring attention has visited the store when the face image of the visitor matches the data of the customer requiring attention stored in advance.
  • the present invention has been made in view of the above problems, and provides a store management system, a store management method, a computer program, and a recording medium capable of suitably managing the entry of customers in a store. Make it an issue.
  • One aspect of the store management system of the present invention is to obtain the face image from an imaging device that captures the face image of the customer at a timing at which at least one of entry, accounting, and exit of the store by the customer in the store is about to be performed.
  • One aspect of the store management method of the present invention is to obtain the face image from an imaging device that captures the face image of the customer at a timing at which at least one of entry, accounting, and exit by the customer in the store is about to be performed.
  • One aspect of the computer program of the present invention is to acquire the face image from an imaging device that captures the face image of the customer at a timing when at least one of entry, accounting, and exit of the store by the customer in the store is about to be performed.
  • the computer is made to execute a permission process for permitting the customer to enter, check, and leave the store at least one of the stores.
  • One aspect of the recording medium of the present invention is a recording medium on which one aspect of the computer program described above is recorded.
  • the store management system according to the first embodiment will be described with reference to FIGS. 1 to 4.
  • the form of the store managed by the store management system is not particularly limited, but the technical effect of the present embodiment is remarkably exhibited in, for example, an unmanned (nighttime) convenience store.
  • FIG. 1 is a block diagram showing a hardware configuration of the store management system according to the first embodiment.
  • the store management system 1 includes a CPU (Central Processing Unit) 11, a RAM (Random Access Memory) 12, a ROM (Read Only Memory) 13, and a storage device 14. It includes an input device 15 and an output device 16.
  • the CPU 11, the RAM 12, the ROM 13, the storage device 14, the input device 15, and the output device 16 are connected via the data bus 17.
  • the CPU 11 reads a computer program.
  • the CPU 11 may read a computer program stored in at least one of the RAM 12, the ROM 13, and the storage device 14.
  • the CPU 11 may read a computer program stored in a computer-readable recording medium using a recording medium reading device (not shown).
  • the CPU 11 may acquire (that is, may read) a computer program from a device (not shown) arranged outside the store management system 1 via a network interface.
  • the CPU 11 controls the RAM 12, the storage device 14, the input device 15, and the output device 16 by executing the read computer program.
  • a functional block for performing store management is realized in the CPU 11. That is, the CPU 11 can function as a controller for executing store management.
  • the RAM 12 temporarily stores the computer program executed by the CPU 11.
  • the RAM 12 temporarily stores data temporarily used by the CPU 11 when the CPU 11 is executing a computer program.
  • the RAM 12 may be, for example, a D-RAM (Dynamic RAM).
  • the ROM 13 stores a computer program executed by the CPU 11.
  • the ROM 13 may also store fixed data.
  • the ROM 13 may be, for example, a P-ROM (Programmable ROM).
  • the storage device 14 stores data stored in the store management system 1 for a long period of time.
  • the storage device 14 may operate as a temporary storage device of the CPU 11.
  • the storage device 14 may include, for example, at least one of a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), and a disk array device.
  • the input device 15 is a device that receives an input instruction from the user of the store management system 1.
  • the input device 15 may include, for example, at least one of a keyboard, a mouse and a touch panel.
  • the output device 16 is a device that outputs information about the store management system 1 to the outside.
  • the output device 16 may be a display device capable of displaying information about the store management system 1.
  • FIG. 2 is a plan view showing an example of a store layout to which the store management system according to the first embodiment is applied.
  • FIG. 3 is a block diagram showing a functional block included in the store management device according to the first embodiment.
  • the store management system 1 is applied to a store such as a convenience store.
  • the store management system 1 includes a store management device 10 configured as a store management server that controls the entire system, a camera 20a and a tablet 30a installed on the store entrance side, and a camera 20b and a cashier terminal installed near the cashier counter. It is configured to include 40, a camera 20c and a tablet 30b installed on the exit side of the store.
  • the store management device 10 includes a face image acquisition unit 100, an image pickup notification unit 200, and an operation permission unit 300. These functional blocks are realized, for example, in the CPU 11 (see FIG. 1).
  • the face image acquisition unit 100 is connected to, for example, at least one camera 20 (that is, cameras 20a, 20b, and 20c in FIG. 2) arranged in a store.
  • the camera 20 is configured to be able to capture a user's face image
  • the face image acquisition unit 100 is configured to be able to acquire an image (that is, a user's face image) captured by each camera 20.
  • the face image acquisition unit 100 can acquire the face image of the user who wants to enter the store from the camera 20a installed near the store entrance. There is.
  • the face image acquisition unit 100 can acquire the face image of the user to make an account from the camera 20b installed near the cash register terminal 40.
  • the face image acquisition unit 100 can acquire the face image of the user who wants to leave the store from the camera 20c installed near the exit of the store.
  • the user's face image acquired by the face image acquisition unit 100 is stored in, for example, a storage device 14 included in the store management system 1.
  • the face image acquisition unit 100 is a specific example of the “acquisition means” in the appendix described later.
  • the image pickup notification unit 200 is connected to, for example, a tablet 30 (that is, tablets 30a and 30b in FIG. 2), a cash register terminal 40, or any other HMI (Human Machine Interface) arranged in a store, and is connected to a camera 20. It is possible to notify the user that the user's face image has been captured or captured (that is, the user's face image has been acquired or acquired by the face image acquisition unit 100). .. More specifically, the image pickup notification unit 200 notifies the user who is going to enter the store that the face image is taken by the camera 20a or that the face image is taken by the tablet 30a installed near the store entrance. It is possible to notify via.
  • a tablet 30 that is, tablets 30a and 30b in FIG. 2
  • a cash register terminal 40 or any other HMI (Human Machine Interface) arranged in a store
  • HMI Human Machine Interface
  • the image pickup notification unit 200 is capable of notifying the user who intends to make a payment at the store that the face image has been captured or has been captured by the camera 20b via the cash register terminal 40.
  • the image pickup notification unit 200 can notify the user who is about to leave the store that the face image has been captured by the camera 20c or that the face image has been captured via the tablet 30b installed near the store exit. Has been done.
  • the image pickup notification unit 200 causes the user to display a predetermined image (for example, an image showing a face image or a wording indicating that the image has been taken) on the screen of the display provided in the tablet 30 or the cash register terminal 40. Take a face image or notify that the image has been taken.
  • the image pickup notification unit 200 notifies the user that the face image has been captured or has been captured by transmitting a predetermined voice (for example, a voice that captures the face image or conveys that the face image has been captured) from the speaker. ..
  • the notification by the image pickup notification unit 200 may be a notification that can recognize that the face image is to be captured, and is not only a notification that directly notifies that the face image is to be captured, but also a face image. May be implied.
  • the image pickup notification unit 200 is a specific example of the "notification means" in the appendix described later.
  • the operation permission unit 300 enters the store for the user on the condition that the face image of the user is acquired by the face image acquisition unit 100 and the image pickup is notified to the user by the image pickup notification unit 200. It is configured to allow at least one of accounting and exit (specifically, the action that was being performed when the face image was captured).
  • the operation permission unit 300 permits the user to enter or leave the store by controlling the opening and closing of the automatic door 50 at the store entrance, for example. Further, the operation permission unit 300 permits the user's accounting by controlling the operation of the cash register terminal 40 of the store, for example.
  • the operation permission unit 300 is a specific example of the "permission means" in the appendix described later.
  • FIG. 4 is a flowchart showing an operation flow of the store management system according to the first embodiment.
  • the store management system 1 first detects the existence of a user who is trying to enter, check out, or leave the store in the store (step S101).
  • the existence of such a user can be detected by using, for example, a sensor installed near the entrance / exit of the store or near the cash register. Alternatively, the existence of the user may be detected from the terminal operation by the user or the like. If the existence of the user is not detected (step S101: NO), the subsequent processing is not executed. In this case, the process of step S101 may be started again after a predetermined period.
  • the image pickup notification unit 200 When the presence of the user is detected (step S101: YES), the image pickup notification unit 200 notifies the user that the face image is to be imaged (step S102). That is, the flowchart shown in FIG. 4 shows an operation in which the image pickup notification unit 200 notifies the user that the face image is to be captured before the face image is actually captured.
  • the notification to the user includes an instruction for adjusting the standing position of the user (for example, moving the face within the imaging range of the camera 20) so that the user can normally capture the face image, and the face is attached to the camera 20. It may include instructions to direct it.
  • the camera 20 executes imaging of the user, and the face image acquisition unit 100 acquires the user's face image (step S103).
  • the imaging timing of the face image may be determined by the user (for example, the imaging may be executed at the timing when the user operates a button). Further, the captured face image may be displayed on the tablet 30, the cash register terminal 40, or the like so that the user can confirm it. If the image pickup notification unit 200 does not notify that the face image will be captured from now on, but notifies that the face image has already been captured, the step S103 is first executed, and then the step S102 is executed. do it.
  • the face image acquisition unit 100 confirms whether the face image can be acquired normally (step S104). For example, the face image acquisition unit 100 determines whether or not the captured face image can be normally recognized as a human face. If it is determined that the face image cannot be acquired normally (step S104: NO), the user is imaged again by the camera, and the face image acquisition unit 100 attempts to acquire the face image again (step S103). If the face image cannot be obtained normally even after taking images more than a predetermined number of times, an instruction to expose the face to the camera (for example, urging the camera to remove sunglasses or mask) is output. You may.
  • an instruction to expose the face to the camera for example, urging the camera to remove sunglasses or mask
  • the operation permission unit 300 permits the user who has captured the face image to enter, check out, or leave the store. (Step S105).
  • the operation permission unit 300 may notify the user that he / she has been permitted to enter, check out, or leave the store.
  • the user who has captured the face image is permitted to enter, check out, and leave the store. (In other words, the use of the store is permitted).
  • users who have not taken a facial image are not allowed to enter, check out, or leave the store (in other words, they are not allowed to use the store).
  • the security in the store can be enhanced. Specifically, security can be strengthened as compared with the case where anyone can freely use the store.
  • the store side is notified that the face image has been taken or that the face image has already been taken.
  • the user will surely be aware that he / she is aware of his / her existence. For example, the user recognizes that the face image should be in a state where an individual can be identified. Therefore, it is possible to effectively prevent the user from engaging in inappropriate acts in the store.
  • FIG. 5 is a block diagram showing a functional block included in the store management device according to the second embodiment.
  • the store management device 10 is configured to further include a consent confirmation unit 400 in addition to the functional block of the first embodiment shown in FIG.
  • the consent confirmation unit 400 is configured so that it can be confirmed whether or not the user has agreed to the notification by the image pickup notification unit 200 (that is, the notification of capturing the face image or notifying that the face image has been captured).
  • the consent confirmation unit 400 determines that the user's consent has been obtained, for example, by operating the terminal such as the tablet 30 or the cash register terminal 40 by the user.
  • the consent confirmation unit 400 may determine that the user's consent has been obtained, for example, when the user performs an action (typically, a gesture) that consents to the imaging.
  • the consent confirmation unit 400 uses the camera 20 (or any sensor capable of detecting the action of the user) of the user. You may determine what kind of operation the operation is. In addition, the consent confirmation unit 400 displays a display based on the Personal Information Protection Law for the user (for example, a display indicating that the captured face image is used only for processing that permits entry, accounting, and exit of the store). May be done.
  • the consent confirmation unit 400 is a specific example of the "determination means" in the appendix described later.
  • FIG. 6 is a flowchart showing an operation flow of the store management system according to the second embodiment.
  • the consent confirmation unit 400 has given the user's consent to the notification. It is determined whether or not (step S201).
  • step S201: YES When it is determined that the consent of the user has been obtained (step S201: YES), the processes after step S103 are executed as in the first embodiment (that is, the user is appropriately permitted to use the store). On the other hand, if it is determined that the user's consent has not been obtained (step S201: NO), the processes after step S103 are not executed (that is, the user is not allowed to use the store).
  • the store management system 1 As described with reference to FIGS. 5 and 6, according to the store management system 1 according to the second embodiment, only the users who have agreed to capture the facial image can use the store as appropriate (that is, enter the store, check out, etc.). And exit) is permitted. Therefore, it is possible to prevent the user who refuses to capture the facial image from being able to use the store. In addition, it is possible to reliably prevent the face image from being used on the store side without obtaining the consent of the user.
  • the store management system 1 according to the third embodiment will be described with reference to FIGS. 7 and 8.
  • the third embodiment is different from the first and second embodiments described above in a part of the configuration and operation, and the other parts are substantially the same. Therefore, in the following, the parts different from the first and second embodiments will be described in detail, and the description of other overlapping parts will be omitted as appropriate.
  • FIG. 7 is a block diagram showing a functional block included in the store management device according to the third embodiment.
  • the store management device 10 is configured to further include a face image erasing unit 500 in addition to the functional blocks of the first embodiment shown in FIG.
  • the face image erasing unit 500 erases the face image acquired by the face image acquisition unit 100 when a deletion trigger is detected for a user who is permitted to enter, check out, and leave the store (in other words, until then). It is configured to be able to delete the stored user's face image data).
  • the "deletion trigger" is set in advance as a condition for determining whether or not to delete the stored face image, and is the timing when the face image becomes unnecessary (specifically, the entry at the store). It suffices to set conditions that can determine (the timing when the opportunity to use the face image to allow the store, accounting, and exit) can be determined. Examples of the deletion trigger include conditions such as "user leaving the store" and "a certain time has passed since entering the store".
  • the face image erasing unit 500 may delete the face image immediately after the user leaves the store, or a certain period of time has passed since the user left the store. It may be after that.
  • the face image erasing unit 500 may determine that the user has left the store when the operation permission unit 300 permits the user to leave the store. In addition, even if it is not possible to directly detect that the user has left the store, it can be determined that the user has left the store (for example, when an extremely long time has passed since the visit). ), It may be determined that the user has already left the store, and the face image may be deleted.
  • the face image erasing unit 500 is a specific example of the "erasing means" in the appendix described later.
  • FIG. 8 is a flowchart showing an operation flow of the store management system according to the third embodiment.
  • step S105 when the store management system 1 according to the third embodiment is operated, after the operation permission unit 300 permits entry, accounting, and exit of the store (step S105), a face image is displayed.
  • the erasing unit 500 determines whether or not a deletion trigger has been detected (step S301). If it is determined that the deletion trigger has not been detected (step S301: NO), a series of processes will be completed without deleting the face image. In that case, step S301 will be performed again after a predetermined period. The process may be executed.
  • the face image erasing unit 500 erases the face image of the user in which the deletion trigger is detected (step S302). Therefore, the store management system 1 according to the third embodiment is in a state where the user's face image is not stored after the deletion trigger is detected. In other words, the store management system 1 according to the third embodiment is configured to store only the face image of the user for which the deletion trigger has not been detected.
  • the face image of the user in which the deletion trigger is detected is deleted, so that, for example, the same user visits the store again. Even in that case, a new face image is acquired each time. Therefore, it is not necessary for the store management system 1 to store a huge amount of face image data.
  • the face image as personal information can be appropriately managed.
  • the store management system 1 permits the use of the store on condition that the user's face image is captured and notified, and the face image collation (so-called "" It does not require “face recognition”).
  • the face authentication of the user may be performed using the face image once acquired. For example, at the time of checkout, it may be determined whether or not the face image of the user captured at the time of entering the store matches the face image of the user who is trying to check out. Similarly, at the time of leaving the store, it may be determined whether or not the face image of the user captured at the time of entering the store or at the time of accounting matches the face image of the user who is about to leave the store.
  • face recognition when performing face recognition, by adopting a configuration in which the face image is erased (that is, imaged each time) as in the third embodiment described above, face recognition can be performed more preferably.
  • the face image captured during the day cannot be used for face recognition at night, and conversely, the face image captured at night cannot be used for face recognition during the day. The situation can be avoided.
  • the latest face image can always be used and unnecessary face images can be deleted (in other words, the face images to be collated can be limited), the accuracy of face recognition can be improved.
  • the face image of the user who should not be allowed to enter the store (for example, the face image list of the person requiring attention) that is stored in advance is collated, and if the face images match, entry, accounting, or You may not allow the store to leave. In this case, the back room or the operation center may be notified of the visit of the user stored in advance.
  • a person on the store side may respond by using an intercom or the like and manually permit the use of the store.
  • the images captured at the time of entering the store, at the time of accounting, and at the time of leaving the store are linked with customer information such as when the store was entered, what was bought, and when the store was closed, and can be easily viewed. May be.
  • the back room or operation center may be notified and urged to check the inside of the store.
  • a mode in which a face image is imaged to allow entry, accounting, and exit that is, a mode in which the operations described in the first to third embodiments are performed
  • anyone can freely enter, account, and leave the store.
  • the mode for allowing the store to leave may be appropriately switched. In this case, the mode may be switched by the operation of the clerk, or the mode may be automatically switched depending on the time (for example, the time when the unmanned business is started).
  • the store management system acquires the face image from an imaging device that captures the face image of the customer at a timing when at least one of entry, accounting, and exit by the customer in the store is about to be performed.
  • It is a store management system characterized in that it is provided with a permission means for permitting the customer to enter, account for, and leave the store on condition that the store has been performed.
  • Appendix 2 In the store management system described in Appendix 2, the permission means does not determine whether or not the face image acquired by the acquisition means matches that of the customer acquired in advance.
  • the notification means acquires or acquires the face image by displaying a predetermined image to the customer or emitting a predetermined voice to the customer.
  • the store management system according to Appendix 4 further includes a determination means for determining that the customer has agreed to the notification by the notification means, and the permission means acquires the face image by the acquisition means and obtains the face image.
  • the customer enters the store at the store and the accounting is performed on the condition that the customer is determined to have agreed by the determination means.
  • the store management system according to any one of Appendix 1 to 3, wherein at least one of the store exits is permitted.
  • Appendix 5 The store management system according to Appendix 5 is characterized in that the determination means determines that the customer has agreed to the notification by the notification means when the customer takes a predetermined action after the notification by the notification means. This is the store management system described in Appendix 4.
  • the store management system From Appendix 1, the store management system according to Appendix 6 further includes an erasing means for erasing the customer's face image acquired by the acquisition means when a deletion trigger relating to the customer is detected.
  • the store management system according to any one of 5.
  • Appendix 7 acquires the face image from an imaging device that captures the face image of the customer at a timing at which at least one of entry, accounting, and exit by the customer in the store is about to be performed.
  • the store management method is characterized by including a permission process for permitting the customer to enter, account for, and leave at least one of the stores, provided that the store has been performed.
  • Appendix 8 The computer program described in Appendix 8 acquires the face image from an imaging device that captures the face image of the customer at a timing at which at least one of entry, accounting, and exit by the customer in the store is about to be performed.
  • the process, the notification step of notifying the customer of the acquisition or acquisition of the face image in the acquisition step, the acquisition of the face image in the acquisition step, and the notification to the customer in the notification step are performed.
  • It is a computer program characterized in that a computer is made to execute a permission process for permitting at least one of entry, accounting, and exit of the store to the customer on condition that the customer has been asked.
  • Appendix 9 The recording medium described in Appendix 9 is a recording medium characterized in that the computer program described in Appendix 8 is recorded.
  • the present invention can be appropriately modified within the scope of claims and within the scope not contrary to the gist or idea of the invention that can be read from the entire specification, and the store management system, store management method, computer program and record accompanied by such changes.
  • the medium is also included in the technical idea of the present invention.

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PCT/JP2020/022688 2019-06-19 2020-06-09 店舗管理システム、店舗管理方法、コンピュータプログラム及び記録媒体 Ceased WO2020255795A1 (ja)

Priority Applications (6)

Application Number Priority Date Filing Date Title
JP2021528116A JP7533460B2 (ja) 2019-06-19 2020-06-09 店舗管理システム、店舗管理方法、コンピュータプログラム及び記録媒体
US17/619,797 US12536833B2 (en) 2019-06-19 2020-06-09 Store management system, store management method, computer program and recording medium
CN202080045081.0A CN113994401A (zh) 2019-06-19 2020-06-09 店铺管理系统、店铺管理方法、计算机程序及记录介质
JP2024122497A JP7743897B2 (ja) 2019-06-19 2024-07-29 店舗管理システム、店舗管理方法、コンピュータプログラム及び記録媒体
US19/324,284 US20260011177A1 (en) 2019-06-19 2025-09-10 Store management system, store management method, computer program and recording medium
US19/324,440 US20260011178A1 (en) 2019-06-19 2025-09-10 Store management system, store management method, computer program and recording medium

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Application Number Priority Date Filing Date Title
JP2019-113479 2019-06-19
JP2019113479 2019-06-19

Related Child Applications (3)

Application Number Title Priority Date Filing Date
US17/619,797 A-371-Of-International US12536833B2 (en) 2019-06-19 2020-06-09 Store management system, store management method, computer program and recording medium
US19/324,284 Continuation US20260011177A1 (en) 2019-06-19 2025-09-10 Store management system, store management method, computer program and recording medium
US19/324,440 Continuation US20260011178A1 (en) 2019-06-19 2025-09-10 Store management system, store management method, computer program and recording medium

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