JP6724325B2 - Information processing equipment - Google Patents

Description

The present invention relates to an information processing device, an information processing system, a control method, and a program.

As one of methods for searching a person to be searched (hereinafter, a search target person) such as a wanted criminal or a missing person, there is a method of using an image generated by a camera. For example, Patent Document 1 discloses a technique of analyzing an image generated by a camera worn by a police officer who performs patrol and detecting target image data corresponding to set feature data. There is.

JP, 2007-221328, A

However, in the above-mentioned prior art, it may not be possible to appropriately search for a searcher target person. For example, when an image is taken by a camera worn by a police officer who performs patrol, it is considered that even a person passing in front of the camera often does not take the image. For example, when a police officer patrols a walkway on which many people walk, the person in front of the police officer can be seen in the camera, but the person in the back is hidden by the person in front of the police officer and cannot be seen in the camera.

The present invention has been made in view of the above problems. An object of the present invention is to provide a technique that facilitates the search for a search target person.

The information processing apparatus of the present invention includes: 1) a first acquisition unit that acquires search target person information that is information related to the search target person; and 2) a customer imaged by a camera provided in a POS (Point of Sales) apparatus. And a determination unit that determines whether or not the search target person matches.

An information processing system of the present invention includes 1) a POS device having a camera for capturing an image of a customer, and 2) an information processing device provided by the present invention.

The control method of the present invention is executed by a computer. The control method includes 1) a first acquisition step of acquiring search target person information, which is information related to the search target person, and 2) whether the customer imaged by a camera provided in the POS device matches the search target person. And a determination step of determining whether or not.

The program provided by the present invention causes a computer to execute each step of the control method provided by the present invention.

According to the present invention, a technique for facilitating a search for a search target person is provided.

1 is a block diagram illustrating an information processing system according to a first embodiment. It is a figure which illustrates the structure of the computer which implement|achieves an information processing apparatus. 6 is a flowchart illustrating a flow of processing executed by the information processing apparatus of the first embodiment. It is a figure which illustrates a search target person information in a table format. 6 is a block diagram illustrating an information processing system according to a second embodiment. FIG. It is a figure which illustrates the search target person information of Embodiment 2 in a table format. It is a block diagram which illustrates the information processing apparatus of Embodiment 2 which has an attribute information generation part. It is a figure which illustrates the search target person information which shows search location information in a table format. FIG. 13 is a block diagram illustrating an information processing device according to a fourth embodiment.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In all the drawings, the same constituents will be referred to with the same numerals, and the description thereof will not be repeated.

[Embodiment 1]
FIG. 1 is a block diagram illustrating an information processing system 3000 according to the first embodiment. In FIG. 1, each block does not represent a hardware-based configuration but a functional-based configuration.

The information processing system 3000 includes an information processing device 2000, a POS device 3020, a camera 3040, and a search target person information storage unit 3060. The POS device 3020 is a device such as a cashier terminal used by a customer to purchase a product, and is provided in any store. The POS device 3020 may have both the function of registering the settlement object and the function of performing settlement of the registered merchandise, or only one of them. Good. In the former case, the POS device 3020 may be a POS device operated by a store clerk or a POS device operated by a customer (POS device in a self-POS system). In the latter case, for example, the POS device is a product registration device or a product settlement device in the semi-self POS system.

A camera 3040 that captures an image of a customer and generates an image is provided near the POS device 3020. For example, the camera 3040 is attached to the POS device 3020, or a stand provided near the POS device 3020 on which a shopping cart or the like is placed.

The POS device 3020 and the camera 3040 included in the information processing system 3000 may be one or more. Further, the number of cameras 3040 provided near one POS device 3020 may be one or may be plural.

The information processing device 2000 is a device that determines whether or not the customer in the image generated by the camera 3040 (hereinafter referred to as the customer image) matches the search target person. The search target person is a person who is a search target, such as a wanted criminal or a missing person. For example, the search target person is searched by the police. However, the search target person is not limited to the person searched by the police. The search target person may be a single person or a plurality of people.

The search target person information storage unit 3060 is a storage unit that stores search target person information. The search target person information is information regarding the search target person. For example, the search target person information indicates the feature amount of the search target person. The search target person information storage unit 3060 may be provided inside the information processing apparatus 2000 or may be provided outside thereof.

The information processing device 2000 includes a first acquisition unit 2020 and a determination unit 2040. The first acquisition unit 2020 acquires the search target person information from the search target person information storage unit 3060. The determination unit 2040 determines whether or not the customer shown in the customer image generated by the camera 3040 matches the search target person indicated in the search target person information. For example, the determination unit 2040 determines whether or not the customer matches the search target person based on the feature amount of the customer shown in the customer image and the feature amount of the search target person indicated by the search target person information.

<Action/effect>
According to the present embodiment, since it is automatically determined whether or not the customer shown in the customer image generated by the camera 3040 matches the search target person, the labor required for the search by the search target person can be reduced. You can

Further, since the customer uses the POS device 3020 in order, the camera 3040 provided in the POS device 3020 is more reliable than a camera worn by a police officer on patrol, so that a person passing in front of the camera 3040 can be surely passed. You can shoot. Therefore, according to the information processing device 2000 of the present embodiment, it is possible to prevent the search target person from being overlooked.

Further, the camera 3040 installed in the POS device 3020 can take a picture of a person closer than a general surveillance camera installed on a ceiling or a wall. If the angle of view of the camera 3040 is adjusted in advance so that the camera 3040 faces the human face, the camera 3040 can shoot the human face from the front or a direction close to the face. Therefore, the customer feature amount calculated using the customer image generated by the camera 3040 is compared with the customer feature amount calculated using the image generated by the camera installed on the ceiling or wall. , Accurately represent the characteristics of the customer. Therefore, according to the information processing system 3000, it is possible to highly accurately determine whether or not the customer is the search target person.

Hereinafter, the details of the present embodiment will be further described.

<Example of Hardware Configuration of Information Processing Device 2000>
Each functional configuration unit of the information processing apparatus 2000 may be implemented by hardware that implements each functional configuration unit (eg, hard-wired electronic circuit or the like), or a combination of hardware and software (eg: Combination of an electronic circuit and a program that controls the electronic circuit). Hereinafter, a case where each functional component of the information processing device 2000 is realized by a combination of hardware and software will be further described.

FIG. 2 is a diagram illustrating a configuration of a computer 1000 that realizes the information processing device 2000. The computer 1000 is various computers such as a personal computer (PC), a server device, or a mobile terminal. The computer 1000 may be a computer designed to realize the information processing device 2000, or may be a general-purpose computer.

For example, the computer 1000 is a server device installed in a store in which the POS device 3020 is installed. In this case, the computer 1000 collects customer images and customer feature amounts from each POS device 3020 installed in the store. The computer 1000 may be a server device that collects customer images, customer feature amounts, and the like from a plurality of stores. The computer 1000 may be the POS device 3020.

The computer 1000 has a bus 1020, a processor 1040, a memory 1060, a storage 1080, and an input/output interface 1100. The bus 1020 is a data transmission path for the processor 1040, the memory 1060, and the storage 1080 to mutually transmit and receive data. However, the method of connecting the processors 1040 and the like to each other is not limited to bus connection. The processor 1040 is an arithmetic processing device such as a CPU (Central Processing Unit) or a GPU (Graphics Processing Unit). The memory 1060 is a memory such as a RAM (Random Access Memory) or a ROM (Read Only Memory). The storage 1080 is a storage device such as a hard disk, SSD (Solid State Drive), or memory card. Further, the storage 1080 may be a memory such as RAM or ROM.

The input/output interface 1100 is an interface for connecting the computer 1000 and input/output devices. A keyboard, a mouse, a printer, or the like is connected to the input/output interface 1100.

Further, for example, the search target person information storage unit 3060 is connected to the input/output interface 1100. The search target person information storage unit 3060 is, like the storage 1080, various storage devices. However, the search target person information storage unit 3060 may be connected to the computer 1000 via a network. Further, the search target person information storage unit 3060 may be realized by the storage 1080. In this case, the search target person information is stored in the storage 1080. In FIG. 3, the search target person information storage unit 3060 is connected to the computer 1000 via the input/output interface 1100.

The storage 1080 stores program modules that realize respective functions of the information processing apparatus 2000. The processor 1040 realizes each function corresponding to the program module by executing each of these program modules. Here, the processor 1040 may execute these modules by reading these modules into the memory 1060 and then executing them, or may execute them without reading them into the memory 1060.

The hardware configuration of the computer 1000 is not limited to the configuration shown in FIG. For example, each program module may be stored in memory 1060. In this case, the computer 1000 does not have to include the storage 1080.

<Process flow>
FIG. 3 is a flowchart illustrating the flow of processing executed by the information processing device 2000 according to the first embodiment. The first acquisition unit 2020 acquires the search target person information from the search target person information storage unit 3060 (S102). The determination unit 2040 determines whether or not the customer imaged by the camera 3040 matches the customer indicated by the search target person information (S104).

<Details of first acquisition unit 2020>
As described above, for example, the determination unit 2040 uses the feature amount of the customer shown in the customer image. In this case, the first acquisition unit 2020 acquires the characteristic amount of the customer shown in the customer image, in addition to the search target person information. The customer feature amount may be calculated by a device different from the information processing device 2000, or may be calculated by the information processing device 2000. In the former case, for example, the first acquisition unit 2020 receives the customer feature amount transmitted by the device that has calculated the customer feature amount. Further, for example, the first acquisition unit 2020 accesses the storage device in which the characteristic amount of the customer is stored and acquires the characteristic amount of the customer.

When the customer's characteristic amount is calculated by the information processing apparatus 2000, the information processing apparatus 2000 acquires the customer image and calculates the customer's characteristic amount shown in the customer image. Here, an existing technique can be used for the method of calculating the feature amount of the person shown in the image.

There are various methods by which the information processing apparatus 2000 acquires the customer image. For example, the information processing device 2000 acquires a customer image from the camera 3040. Further, for example, when the camera 3040 stores the customer image in the external storage device, the information processing device 2000 acquires the customer image from the storage device.

There are various timings at which the first acquisition unit 2020 acquires the customer feature amount. For example, the first acquisition unit 2020 acquires the feature amount of one customer each time the POS device 3020 handles one customer. Further, for example, the first acquisition unit 2020 may collectively acquire the feature amounts of a plurality of customers. In the latter case, for example, the first acquisition unit 2020 acquires the characteristic amount of the customer at a predetermined frequency such as once an hour or once a day.

<About the search target information>
FIG. 4 is a diagram illustrating the search target person information in a table format. The search target person information 200 of FIG. 4 has a search target person ID 202 and a feature amount 204. The search target person ID 202 is an identifier (ID: identifier) of the search target person. The feature amount 204 is the feature amount of the search target person.

The search target person information 200 is stored in the search target person information storage unit 3060. The search target person information storage unit 3060 is managed by, for example, an organization that searches for a search target person.

<Details of the determination unit 2040>
The determination unit 2040 determines whether or not the customer imaged by the camera 3040 matches the search target person indicated by the search target person information (S104). As described above, for example, the determination unit 2040 determines whether or not the customer matches the search target person based on the feature amount of the customer and the feature amount of the search target person indicated by the search target person information. The method will be specifically described below.

The determination unit 2040 determines that the customer matches the search target person when the degree of matching between the feature amount of the customer and the search target person is high. For example, the determination unit 2040 calculates a score indicating the degree of coincidence between the feature amount of the customer and the feature amount of the search target person, and determines that the customer matches the search target person when the score is equal to or greater than a predetermined value. To do.

Here, there may be a plurality of search target persons who have a feature amount having a high degree of coincidence with the feature amount of the customer. In this case, the determination unit 2040 may determine that the customer matches with each of the plurality of search target persons. In this case, the plurality of search target persons are candidates for search target persons matching the customer. Further, for example, the determination unit 2040 may determine that the customer matches the search target person having the characteristic amount having the highest degree of coincidence with the characteristic amount of the customer.

[Embodiment 2]
FIG. 5 is a block diagram illustrating the information processing system 3000 according to the second embodiment. In FIG. 5, each block represents a functional unit, not a hardware unit. The information processing system 3000 according to the second embodiment has the same functions as those of the information processing system 3000 according to the first embodiment, unless otherwise specified.

The information processing apparatus 2000 according to the second embodiment further determines whether the customer matches the search target person by further using the attribute information of the customer and the attribute information of the search target person shown in the customer image. Therefore, the search target person information of the second embodiment indicates attribute information of the search target person (hereinafter, first attribute information). Further, the information processing device 2000 of the second embodiment has a second acquisition unit 2060. The second acquisition unit 2060 acquires customer attribute information (hereinafter, second attribute information). Then, the determination unit 2040 of the second embodiment further determines whether the customer matches the search target person by further using the first attribute information and the second attribute information.

<About the first attribute information>
The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person. The search target person information according to the second embodiment indicates the first attribute information of the search target person in addition to the feature amount of the search target person. The information processing device 2000 acquires the first attribute information by acquiring the search target person information. FIG. 6 is a diagram exemplifying the search target person information 200 of the second embodiment in a table format.

Further, for example, the first attribute information of a search target person includes purchase information of the search target person. The purchase information of the search target person is information (such as the type and number of products) on the products that the search target person purchased in the past.

<About second attribute information>
The second attribute information indicates at least one of customer age information, gender information, credit card information, and member information. There are various methods for generating the second attribute information. For example, the second attribute information is generated using information input by a store clerk or a customer in the POS device 3020 including the camera 3040 that images the customer. Further, for example, the second attribute information is generated by using the information of the credit card or the membership card read by the POS device 3020.

For example, when a credit card is read by the POS device 3020, the POS device 3020 can obtain the credit card number of the credit card. Furthermore, the POS device 3020 can acquire information such as the name, age, sex, or address of the owner of the credit card corresponding to the credit card number from a device (database or the like) that manages information about the credit card. The same applies when the membership card is read by the POS device 3020.

Further, for example, the second attribute information of a certain customer is generated using the purchase information of that customer. The customer's purchase information is information about the product purchased by the customer (type and number of products).

The second attribute information may be generated outside the information processing device 2000 or may be generated inside. In the former case, the second attribute information is generated by the POS device 3020, for example. In this case, the second acquisition unit 2060 acquires the second attribute information from the POS device 3020.

When the second attribute information is generated inside the information processing device 2000, the information processing device 2000 has an attribute information generation unit 2080. FIG. 7 is a block diagram illustrating the information processing device 2000 according to the second embodiment including the attribute information generation unit 2080.

The attribute information generation unit 2080 acquires, from the POS device 3020, information input by a clerk or a customer, information read from a credit card or a membership card, or customer purchase information. Then, the attribute information generation unit 2080 generates the second attribute information using the acquired information. The second acquisition unit 2060 acquires the second attribute information generated by the attribute information generation unit 2080.

s は、顧客と捜索対象者との総合的な一致度合いを示すスコア（以下、総合スコア）である。f は、顧客の特徴量と捜索対象者の特徴量との一致度合いを示すスコアである。a_i は、種類 i の属性について、第１属性情報と第２属性情報との一致度合いを示すスコアである。例えば、種類１を年齢情報、種類２を性別情報などとすることができる。n は、利用する属性の種類の総数である。w は各スコアの重みである。 <Determination of whether the customer and the search target person match>
The determination unit 2040 of this embodiment makes a determination by further using the first attribute information and the second attribute information. For example, the determination unit 2040 calculates the score indicating the degree of coincidence between the customer and the search target person using the following mathematical expression (1).

s is a score (hereinafter, total score) indicating the overall degree of agreement between the customer and the search target person. f is a score indicating the degree of agreement between the feature amount of the customer and the feature amount of the search target person. a _i is a score indicating the degree of coincidence between the first attribute information and the second attribute information for the attribute of type i. For example, the type 1 can be age information and the type 2 can be sex information. n is the total number of types of attributes used. w is the weight of each score.

The score indicating the degree of coincidence between the age information of the customer and the age information of the search target person becomes larger as the ages indicated by them are closer. The score indicating the degree of agreement between the sex information of the customer and the sex information of the search target person has a large value when the sexes indicated by them match, and has a small value when they do not match. The score indicating the degree of coincidence between the customer's credit card information and the search target person's credit card information becomes larger as the degree of coincidence of various pieces of information (credit card number and name) and the like indicated by them increases. The score indicating the degree of coincidence between the member information of the customer and the member information of the search target person becomes larger as the degree of coincidence of various information (member number and name) and the like indicated by them increases. The score indicating the degree of agreement between the purchase information of the customer and the purchase information of the search target person has a larger value as the number of product names or types of products commonly shown by them increases. Further, the score indicating the degree of agreement between the purchase information of the customer and the purchase information of the search target person becomes larger as the degree of coincidence of the number of purchases of the commodities commonly shown by them increases.

For example, the determination unit 2040 determines that the customer matches the search target person when the total score s is equal to or greater than the predetermined value. When there are a plurality of search target persons whose total score s is equal to or more than a predetermined value, the determination method is as described in the first embodiment, when there are a plurality of search target persons having a feature value having a high degree of agreement with the customer feature value. This is the same as the method for determining.

<Hardware configuration example>
The information processing apparatus 2000 according to the second embodiment is realized by the computer 1000, similarly to the information processing apparatus 2000 according to the first embodiment. The storage 1080 of the computer 1000 according to the second embodiment further includes a program module that realizes each function of the information processing apparatus 2000 described above.

<Action/effect>
According to the present embodiment, it is determined whether or not the customer matches the search target person in consideration of the attribute information of the customer and the search target person in addition to the feature amounts of the customer and the search target person. By doing so, it is possible to determine with higher accuracy whether or not the customer and the search target person match.

[Third Embodiment]
The information processing system 3000 according to the third embodiment has the same configuration as the information processing system 3000 according to the first or second embodiment. Then, in the present embodiment, the search target person information further indicates search location information. The search location information indicates the search location of the search target person. For example, the search location indicates the name of a country, a region, a prefecture, or a municipality. FIG. 8: is a figure which illustrates the search target person information which shows search location information in a table format.

The determination unit 2040 of this embodiment uses the search location indicated by the search target person information. There are the following two methods of using the method.

<How to use search location information 1>
Here, the determination unit 2040 determines whether or not a certain search target person is included in the plurality of customers. At this time, the determination unit 2040 limits the customers who are the targets of determination as to whether or not the search target person matches, using the search location information indicated by the search target person information. Specifically, the determination unit 2040 determines the customer in the customer image generated by the camera 3040 provided in the POS device 3020 installed in the search location indicated by the search location information of the search target person. set to target.

For example, it is assumed that the information processing apparatus 2000 is used to search for a specific search target person G. Then, it is assumed that the search location information of the search target person information regarding the search target person G indicates “Kanto region”. In this case, the determination unit 2040 is included in the customer images generated by the camera 3040 provided in the POS device 3020 installed in a store in the Kanto region among the customers in each of the plurality of customer images. Information (characteristic amount, second attribute information, etc.) used for determination is acquired only for existing customers. Then, the determination unit 2040 determines whether or not each customer who acquired the information used for the determination matches the search target person G, and determines whether or not the other customers match the search target person G. Do not do.

By using the search location information in this way, it is possible to reduce the number of customers who are the targets of calculation of the degree of coincidence with the search target person. Therefore, the amount of calculation required to determine whether the search target person and the customer match or not is small.

<How to use search location information 2>
Here, the determination unit 2040 determines whether or not a certain customer matches any of the plurality of search target persons. At this time, the determination unit 2040 limits the search target person to be compared with the customer by using the search location information. Specifically, first, the determination unit 2040 determines the position of the POS device 3020 including the camera 3040 that generated the customer image used for calculating the characteristic amount of the acquired customer characteristic amount (for example, the POS device 3020 Information such as the store address). Then, the determination unit 2040 acquires the search target person information indicating the search location where the search location information includes the position of the POS device 3020 from the plurality of search target person information. Then, the determination unit 2040 determines whether or not the customer matches the search target person by using the feature value of the customer and the feature amount of the search target person indicated by the acquired search target person information.

For example, it is assumed that there are three pieces of search target person information A, B, and C, and the search locations indicated by them are X prefecture, Y prefecture, and Z prefecture, respectively. Then, it is assumed that the position of the POS device 3020 including the camera 3040 that generated the customer image, acquired by the determination unit 2040, is W city in Y prefecture.

The determination unit 2040 acquires only the search target person information indicating the search location including the W city in Y prefecture from the search target person information. In this case, the search target person information B is acquired. Then, the determination unit 2040 determines whether the customer matches the search target person indicated by the search target person information B, and determines whether the customer matches the search target person indicated by the other search target person information. Does not.

Here, there are various methods by which the information processing apparatus 2000 grasps the position of the POS apparatus 3020 including the camera 3040 that generated the customer image of the customer regarding the acquired characteristic amount of the customer. For example, when the information processing device 2000 acquires the customer's feature amount from an external device, the information processing device 2000 further acquires information indicating the position of the POS device 3020 including the camera 3040 that generated the customer image of the customer. Further, for example, when the information processing apparatus 2000 acquires the customer image, the information processing apparatus 2000 further acquires the customer image and information indicating the position of the POS device 3020 including the camera 3040 that generated the customer image.

By using the search location information in this way, it is possible to reduce the number of search target persons who are the targets of calculation of the degree of coincidence with the customer. Therefore, the amount of calculation required to determine whether the search target person and the customer match or not is small.

<Hardware configuration example>
The information processing apparatus 2000 according to the third embodiment is realized by the computer 1000, similarly to the information processing apparatus 2000 according to the first embodiment. The storage 1080 of the computer 1000 according to the third embodiment further includes a program module that realizes each function of the information processing apparatus 2000 described above.

[Embodiment 4]
FIG. 9 is a block diagram illustrating an information processing system 3000 according to the fourth embodiment. In FIG. 9, each block represents a functional unit, not a hardware unit. The information processing system 3000 according to the fourth embodiment has the same function as any one of the information processing systems 3000 according to the first to third embodiments or a combination thereof, unless otherwise specified.

The information processing device 2000 of this embodiment includes an output unit 2100. The output unit 2100 outputs various information when the determination unit 2040 determines that the customer in the customer image matches the search target person. Hereinafter, the information output by the output unit 2100 will be collectively referred to as output information.

The output information is, for example, search target person information (first attribute information or the like) of the search target person who matches the customer, information about the customer (second attribute information), the date and time when the customer image showing the customer is generated, The information is information specifying the POS device 3020 including the camera 3040 in which the customer image is generated, information specifying the store including the POS device 3020, or the like. For example, the information processing device 2000 acquires the above-described information when acquiring the customer feature amount and the customer image.

There are various methods by which the output unit 2100 outputs the output information. For example, the output unit 2100 outputs the output information to a display device such as a liquid crystal display. Further, for example, the output unit 2100 outputs the output information as a file.

The output information may be output to a device external to the information processing device 2000. For example, the external device of the information processing device 2000 is a server device included in a company that operates the information processing device 2000 or a server device included in an organization (police or the like) that is searching for a search target person.

In addition, the output unit 2100 displays the search target person information (first attribute information and the like) of the search target person who matches the customer, and the display device (touch panel and the like) of the POS device 3020 provided with the camera 3040 that images the customer. May be output to. As a result, the search target person information is displayed on the display device of the POS device 3020. As a result, when the store clerk operates the POS device 3020, the store clerk can know that the customer is the search target person and the attribute of the search target person. Therefore, the store clerk can take appropriate measures in consideration of the attributes of the search target person.

Here, when the information processing device 2000 is realized by a device other than the POS device 3020, the information processing device 2000 searches the POS device 3020 including the camera 3040 that images the customer who matches the search target person. Send the information of the search target person of the target person. Then, the POS device 3020 that has received the search target person information displays the search target person information on the display device.

<Hardware configuration example>
The information processing apparatus 2000 according to the fourth embodiment is realized by the computer 1000, like the information processing apparatus 2000 according to the first embodiment. The storage 1080 of the computer 1000 according to the fourth embodiment further includes a program module that realizes each function of the information processing apparatus 2000 described above.

<Action/effect>
According to this embodiment, when a certain customer and a certain search target person match, various information such as information about the customer or the search target person is output. Therefore, the user of the information processing device 2000 can obtain various kinds of information useful for searching for a search target person.

Although the embodiments of the present invention have been described above with reference to the drawings, they are merely examples of the present invention, and combinations of the above-described embodiments and various configurations other than the above-described embodiments may be employed.

Hereinafter, an example of the reference mode will be additionally described.
1. First acquisition means for acquiring search target person information, which is information related to the search target person,
An information processing apparatus comprising: a determination unit that determines whether or not a customer imaged by a camera provided in a POS (Point of Sales) apparatus matches the search target person.
2. The search target person information includes a feature amount of the search target person,
The first acquisition unit acquires a customer feature amount extracted from a customer image captured by a camera provided in the POS device,
The determination means determines whether or not the customer matches the search target person based on the feature value of the search target person and the feature value of the customer. The information processing device according to 1.
3. The search target person information includes first attribute information that is attribute information of the search target person,
A second acquisition unit for acquiring second attribute information, which is the attribute information of the customer inputted to the POS device,
The determination means determines whether or not the customer matches the search target person based on the first attribute information and the second attribute information. Or 2. The information processing device according to 1.
4. 2. Attribute information generating means for generating second attribute information, which is the attribute information of the customer, from the purchase information of the customer in the POS device. The information processing device according to 1.
5. 3. The purchase information is information regarding products purchased by the customer. The information processing device according to 1.
6. The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person,
2. The second attribute information indicates at least one of the customer's age information, gender information, credit card information, and member information. Through 5. The information processing device described in any one of the above.
7. The search target person information includes search location information indicating a search location of the search target person,
The determination means determines whether or not the customer photographed by the camera provided in the POS device at the search location of the specific search target person matches the specific search target person. Through 6. The information processing device described in any one of the above.
8. The search target person information includes search location information indicating a search location of the search target person,
The first acquisition unit acquires the search target person information in which the search location includes the address of the POS device,
The determination means determines whether or not the customer matches the search target person indicated by the search target person information acquired by the first acquisition means. Through 6. The information processing device described in any one of the above.
9. If the determination unit determines that the customer matches the search target person, the date and time when the customer was photographed, information that identifies the POS device that includes the camera in which the customer was photographed, or a store that includes the POS device. 1. has output means for outputting information for specifying 1. Through 8. The information processing device described in any one of the above.
10. When the determination unit determines that the customer matches the search target person, the determination unit has an output unit that outputs the search target person information to the display device of the POS device. Through 8. The information processing device described in any one of the above.
11. A POS (Point of Sales) device having a camera for capturing an image of a customer,
An information processing device,
The information processing device,
First acquisition means for acquiring operation target person information that is information related to the search target person,
An information processing system comprising: a determination unit that determines whether or not the customer imaged by the camera matches the search target person.
12. The search target person information includes a feature amount of the search target person,
The first acquisition unit acquires a customer feature amount extracted from a customer image captured by a camera provided in the POS device,
11. The determination means determines whether or not the customer matches the search target person based on the feature value of the search target person and the feature value of the customer. The information processing system described in.
13. The search target person information includes first attribute information that is attribute information of the search target person,
A second acquisition unit for acquiring second attribute information, which is the attribute information of the customer inputted to the POS device,
11. The determination means determines whether or not the customer matches the search target person based on the first attribute information and the second attribute information. Or 12. The information processing system described in.
14. 13. Attribute information generating means for generating second attribute information which is attribute information of the customer from purchase information of the customer in the POS device. The information processing system described in.
15. 14. The purchase information is information on products purchased by the customer. The information processing system described in.
16. The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person,
13. The second attribute information indicates at least one of the customer's age information, sex information, credit card information, and member information. Through 15. The information processing system described in any one.
17. The search target person information includes search location information indicating a search location of the search target person,
11. The determination means determines whether or not the customer photographed by the camera provided in the POS device at the search location of the specific search target person matches the specific search target person. Through 16. The information processing system described in any one.
18. The search target person information includes search location information indicating a search location of the search target person,
The first acquisition unit acquires the search target person information in which the search location includes the address of the POS device,
11. The determination unit determines whether the customer matches the search target person indicated by the search target person information acquired by the first acquisition unit, 11. Through 16. The information processing system described in any one.
19. If the determination unit determines that the customer matches the search target person, the date and time when the customer was photographed, information that identifies the POS device that includes the camera in which the customer was photographed, or a store that includes the POS device. 11. An output unit for outputting information for specifying Through 18. The information processing system described in any one.
20. 11. When the determination unit determines that the customer matches the search target person, the output unit outputs the search target person information to the display device of the POS device. Through 18. The information processing system described in any one.
21. A control method executed by a computer,
A first acquisition step of acquiring search target person information that is information related to the search target person;
And a determination step of determining whether or not a customer imaged by a camera provided in a POS (Point of Sales) device matches the search target person.
22. The search target person information includes a feature amount of the search target person,
In the first acquisition step, the feature amount of the customer extracted from the image of the customer captured by the camera provided in the POS device is acquired,
The determining step determines whether or not the customer matches the search target person, based on the feature value of the search target person and the feature value of the customer. The control method described in.
23. The search target person information includes first attribute information that is attribute information of the search target person,
A second acquisition step of acquiring second attribute information, which is the attribute information of the customer inputted to the POS device,
The determining step determines whether the customer matches the search target person based on the first attribute information and the second attribute information, 21. Or 22. The control method described in.
24. 23. An attribute information generating step of generating second attribute information which is the attribute information of the customer from the purchase information of the customer in the POS device. The control method described in.
25. 24. The purchase information is information on products purchased by the customer. The control method described in.
26. The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person,
23. The second attribute information indicates at least one of the customer's age information, gender information, credit card information, and member information. To 25. The control method described in any one.
27. The search target person information includes search location information indicating a search location of the search target person,
The determining step determines whether or not the customer photographed by the camera provided in the POS device at the search location of the specific search target person matches the specific search target person. To 26. The control method described in any one.
28. The search target person information includes search location information indicating a search location of the search target person,
In the first acquisition step, the search target acquires the search target person information including the address of the POS device,
The determining step determines whether the customer matches the search target person indicated by the search target person information acquired in the first acquisition step, 21. To 26. The control method described in any one.
29. If it is determined by the determination step that the customer matches the search target person, the date and time when the customer was photographed, the information that identifies the POS device that includes the camera in which the customer was photographed, or the store that includes the POS device. 21. An output step of outputting information specifying Through 28. The control method described in any one.
30. 21. An output step of outputting the search target person information to a display device of the POS device when the determination step determines that the customer matches the search target person. Through 28. The control method described in any one.
31. On the computer,
A first acquisition step of acquiring search target person information that is information related to the search target person;
A program for executing a determination step of determining whether or not a customer imaged by a camera provided in a POS (Point of Sales) device matches the search target person.
32. The search target person information includes a feature amount of the search target person,
In the first acquisition step, the feature amount of the customer extracted from the image of the customer captured by the camera provided in the POS device is acquired,
The determining step determines whether or not the customer matches the search target person based on the feature value of the search target person and the feature value of the customer. The program described in.
33. The search target person information includes first attribute information that is attribute information of the search target person,
A second acquisition step of acquiring second attribute information, which is the attribute information of the customer inputted to the POS device,
The determining step determines whether or not the customer matches the search target person based on the first attribute information and the second attribute information, 31. Or 32. The program described in.
34. 33. An attribute information generating step of generating second attribute information, which is attribute information of the customer, from purchase information of the customer in the POS device, 33. The program described in.
35. 34. The purchase information is information on products purchased by the customer. The program described in.
36. The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person,
33. The second attribute information indicates at least one of the customer's age information, gender information, credit card information, and member information. To 35. The program described in any one.
37. The search target person information includes search location information indicating a search location of the search target person,
The determining step determines whether or not the customer photographed by the camera provided in the POS device at the search location of the specific search target person matches the specific search target person. To 36. The program described in any one.
38. The search target person information includes search location information indicating a search location of the search target person,
In the first acquisition step, the search target acquires the search target person information including the address of the POS device,
The determining step determines whether the customer matches the search target person indicated by the search target person information acquired in the first acquisition step, 31. To 36. The program described in any one.
39. If it is determined by the determination step that the customer matches the search target person, the date and time when the customer was photographed, the information that identifies the POS device that includes the camera in which the customer was photographed, or the store that includes the POS device. 31. An output step of outputting information specifying To 38. The program described in any one.
40. 31. An output step of outputting the search target person information to a display device of the POS device when the determination step determines that the customer matches the search target person. To 38. The program described in any one.

200 search target person information 202 search target person ID
204 feature amount 1000 computer 1020 bus 1040 processor 1060 memory 1080 storage 1100 input/output interface 2000 information processing device 2020 feature amount acquisition unit 2040 determination unit 2060 second acquisition unit 2080 attribute information generation unit 2100 output unit 3000 information processing system 3020 POS device 3040 Camera 3060 search target person information storage unit

Claims (9)

First acquisition means for acquiring search target person information, which is information related to the search target person,
Have a, a determination unit configured to determine whether the customer taken matches with the search subject by POS (Point of Sales) camera provided in the apparatus,
The search target person information includes first attribute information that is attribute information of the search target person,
A second acquisition unit for acquiring second attribute information which is the attribute information of the customer inputted to the POS device;
The determination means determines whether or not the customer matches the search target person based on the first attribute information and the second attribute information,
Further, the information processing apparatus having attribute information generating means for generating second attribute information, which is attribute information of the customer, from purchase information of the customer in the POS device. The search target person information includes a feature amount of the search target person,
The first acquisition unit acquires a customer feature amount extracted from a customer image captured by a camera provided in the POS device,
The information processing apparatus according to claim 1, wherein the determination unit determines whether or not the customer matches the search target person based on the feature value of the search target person and the feature value of the customer. The purchase information is the is information about products purchased by the customer, the information processing apparatus according to claim 1 or 2. The first attribute information indicates at least one of age information, sex information, credit card information, and member information of the search target person,
The second attribute information, the customer's age information, gender information, credit card information, and indicates at least one of the member information, the information processing apparatus as claimed in any one claims 1 to 3. The search target person information includes search location information indicating a search location of the search target person,
The determination unit determines whether the customer is captured by a camera provided in the POS device in the search location of a particular search subject matching the specific search subject, one of claims 1 to 4 The information processing device according to claim 1. The search target person information includes search location information indicating a search location of the search target person,
The first acquisition unit acquires the search target person information in which the search location includes the address of the POS device,
The determination means, the customer determines whether it matches the search subject said predetermined search subject information acquired by the first acquisition means indicates, as claimed in any one claims 1 to 4 Information processing device. If the determination unit determines that the customer matches the search target person, the date and time when the customer was photographed, information that identifies the POS device that includes the camera in which the customer was photographed, or a store that includes the POS device an output means for outputting information specifying the information processing apparatus according to any one of claims 1 to 6. First acquisition means for acquiring search target person information, which is information related to the search target person,
Determination means for determining whether or not the customer imaged by the camera provided in the POS (Point of Sales) device matches the search target person;
When the determination unit determines that the customer matches the search target person, an output unit that outputs the search target person information to the display device of the POS device ,
The a, information processing apparatus. The search subject is a wanted person or missing person, the information processing apparatus according to any one of claims 1 to 8.

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