JP2020135650A - Information processing device, information processing system, and information processing method - Google Patents

Abstract

To provide an information processing device, an information processing system, and an information processing method capable of easily performing an advance registration work and performing flexible identification according to a vehicle operating condition.SOLUTION: A suspicious vehicle identification device (information processing device) comprises: a storage unit 10 for storing registration data that defines an operation of a suspicious vehicle, a determination result whether or not an operation of a vehicle corresponds to the registration data, and destination information of a terminal of a nearby facility; an acquisition unit 21 that acquires vehicle identification information and operation data; a determination unit 22 that determines whether the acquired operation data corresponds to the registration data, and stores the determination result in the storage unit in association with the identification information; a judgment unit 23 that judges a vehicle of the identification information as a suspicious vehicle if there is a plurality of judgment results that the operation data corresponds to the registration data for certain identification information within a predetermined time period by referring to the storage unit; and when it is determined that the vehicle is a suspicious vehicle, a transmission unit 24 that refers to the destination information and transmits specific information which can identify the suspicious vehicle to the terminal of the neighboring facility.SELECTED DRAWING: Figure 2

Description

The present invention relates to an information processing device, an information processing system and an information processing method, and more particularly to a technique for identifying a suspicious vehicle.

In recent years, in response to growing awareness of crime prevention, various technologies related to crime prevention have been developed. One of them is a technology for identifying a suspicious vehicle.

As a technique for identifying a suspicious vehicle, for example, a technique described in Patent Document 1 is known. In the technique described in Patent Document 1, the number of a vehicle owned by a resident of a specific area is registered in advance, and a camera that reads the number of the vehicle is installed on an access road between the specific area and the outside. Then, when the installed camera detects a vehicle with an unregistered number, the vehicle is notified as a suspicious vehicle to a terminal owned by a resident in a specific area.

Japanese Unexamined Patent Publication No. 2005-165616

However, the technique described in Patent Document 1 has the following problems.
First, since it is necessary to register the number of the vehicle owned by the resident in advance, it takes time and effort to register if the number of vehicles is large. In addition, if the vehicle owned is changed, it is necessary to re-register the vehicle, which is troublesome.

Secondly, the technique described in Patent Document 1 is a system based on the premise that "the registered vehicle is not a suspicious vehicle". Therefore, for example, if a resident behaves suspiciously using a properly registered vehicle, or if a suspicious person unintentionally uses a properly registered vehicle, the vehicle number is disguised. In some cases, the vehicle cannot be recognized as a suspicious vehicle. That is, with the technique described in Patent Document 1, it is not possible to flexibly specify the vehicle according to the operating state of the vehicle.

The present invention has been made in view of the above problems, and is an information processing device, an information processing system, and information that can be easily registered in advance and can be flexibly specified according to the operating condition of the vehicle. It provides a processing method.

In order to solve the above problems, the information processing device according to one aspect of the present invention includes registration data that defines the operation of a suspicious vehicle, a determination result of whether or not the operation of the vehicle corresponds to the registration data, and neighboring facilities. A storage unit that stores the destination information of the terminal, an acquisition unit that acquires the vehicle identification information and the operation data, and a determination unit whether the acquired operation data corresponds to the registration data, and the determination result is the identification. When there are a plurality of determination results within a predetermined time that the operation data corresponds to the registered data for a certain identification information by referring to the determination unit stored in the storage unit in association with the information and the storage unit, the identification A determination unit that determines that the information vehicle is a suspicious vehicle, and a transmission that refers to the destination information when the determination unit determines that the vehicle is a suspicious vehicle and transmits specific information that can identify the suspicious vehicle to the terminal of the neighboring facility. It is characterized by having a part and.

Further, the information processing system according to one aspect of the present invention is an information processing system including a photographing device, the information processing device, and a terminal of the neighboring facility, and the acquisition unit is the identification information of the vehicle. And the operation data is acquired from the photographing device or the image captured by the photographing device.

Further, the information processing method according to one aspect of the present invention is an information processing method for identifying a suspicious vehicle in the information processing device, and the information processing device includes registration data defining the operation of the suspicious vehicle and the operation of the vehicle. A storage unit for storing a determination result of whether or not the data corresponds to the registration data and destination information of terminals of neighboring facilities, an acquisition step for acquiring the vehicle identification information and operation data, and the acquired operation. A determination step of determining whether the data corresponds to the registered data and storing the determination result in the storage unit in association with the identification information, and referring to the storage unit, the operation data is registered for the identification information. When there are a plurality of determination results that correspond to the data within a predetermined time, the determination step of determining the vehicle of the identification information as a suspicious vehicle and the destination information when it is determined to be a suspicious vehicle in the determination step are referred to. It is characterized by having a transmission step of transmitting specific information that can identify the suspicious vehicle to a terminal of a nearby facility.

According to the present invention, the pre-registration work is easy, and it is possible to flexibly specify the vehicle according to the operating condition of the vehicle.

It is a schematic block diagram of the suspicious vehicle identification system which concerns on embodiment of this invention. It is a schematic block diagram of the suspicious vehicle identification apparatus which concerns on embodiment of this invention. This is a data configuration example of the vehicle operation data storage unit. It is an example of the flowchart which shows the operation of the suspicious vehicle identification system which concerns on embodiment of this invention.

Hereinafter, embodiments for carrying out the present invention will be described in detail with reference to the drawings as appropriate. Each figure is only schematically shown to the extent that the present invention can be fully understood. Therefore, the present invention is not limited to the illustrated examples. Further, in each figure, common components and similar components are designated by the same reference numerals, and duplicate description thereof will be omitted.

<< Configuration of suspicious vehicle identification system according to the embodiment >>
The configuration of the suspicious vehicle identification system 1 according to the embodiment will be described with reference to FIG. FIG. 1 is a schematic configuration diagram of the suspicious vehicle identification system 1 according to the embodiment.

The suspicious vehicle identification system 1 is a system for identifying a suspicious vehicle (hereinafter referred to as "suspicious vehicle"). The suspicious vehicle identification system 1 is an example of an "information processing system" within the scope of claims.

A "vehicle" is a transportation vehicle used by humans, with or without a prime mover. Vehicles include, for example, automobiles (including four-wheeled vehicles and two-wheeled vehicles) that are driven by an engine or a motor, and bicycles that are driven by human power. Here, a four-wheeled vehicle will be described as a vehicle.

A "suspicious vehicle" is a vehicle driven by a person who intends to cause suspicious behavior (hereinafter referred to as "suspicious person"). "Suspicious behavior" includes, for example, criminal acts such as kidnapping and theft, calling out to an unfamiliar person, and annoying acts to solicit that person. Suspicious vehicles often perform different characteristic movements with respect to vehicles driven by a person (non-suspicious person) who is not thinking of causing suspicious behavior. That is, the behavior of the suspicious vehicle may be unusual. The operations here include not only operations related to vehicle running (for example, starting, stopping, accelerating, decelerating, turning, etc.) but also operations not directly related to running (for example, turning on / off various lights, operating crushing, etc.) ) Is included.

The operation related to the running of the suspicious vehicle will be described. For example, a non-suspicious person acts to arrive from the place of origin to the destination in the shortest possible time, while a suspicious person acts as a suspicious behavior (for example, a criminal act) or the suspicious behavior that he / she intends to perform. Take behavior-related actions (eg, preview of criminal activity). Therefore, the suspicious vehicle makes a U-turn, stops, reverses, suddenly changes direction, etc., for example, in a place where a non-suspicious person does not perform such an operation in normal driving. In the present embodiment, the case where the suspicious vehicle is specified by using the traveling locus in the operation of the suspicious vehicle will be described as an example. However, the identification of the suspicious vehicle is not limited to the one based on the traveling locus.

The suspicious vehicle identification system 1 includes a camera 2, a suspicious vehicle identification device 3, and a terminal device 4-1, 4-2, 4-3 ... (Indicated as "terminal device 4" unless otherwise specified). Be prepared. The number of cameras 2 and terminal devices 4 is not particularly limited. Further, the suspicious vehicle identification device 3 may have a camera 2 (that is, the suspicious vehicle identification device 3 including the camera 2).
The camera 2 is an example of a "photographing device" within the scope of claims. Further, the suspicious vehicle identification device 3 is an example of an "information processing device" within the scope of claims.

The camera 2 has a resolution that allows the vehicle to be recognized, and can continuously shoot to the extent that the movement of the vehicle can be recognized. The camera 2 is, for example, a digital video camera, and captures several tens of images (also referred to as frames) per second. The camera 2 may be installed so as to be able to photograph a place where a vehicle exists, for example, to be installed so as to be able to photograph a road or a parking lot. The shooting range of the camera 2 is not particularly limited, and it is preferable that the camera 2 takes a bird's-eye view of the vehicle. The shooting range of the camera 2 may include a curved road or a branching road. That is, the shooting target of the camera 2 may be an intersection, a rotary, or the like. The road may or may not have a median strip or a center line that distinguishes the direction of traffic.

The camera 2 has a vehicle recognition function of recognizing a vehicle from a captured image by using an image recognition technology. Since the image recognition technique is a known technique, detailed description thereof will be omitted here. The vehicle identification information recognized by the vehicle recognition function is sent to the suspicious vehicle identification device 3. The vehicle identification information is, for example, the color, shape, vehicle number (number) of the vehicle, and the like.

A wireless receiver may be installed on the road or in a parking lot instead of the camera 2 or together with the camera 2. The wireless receiver wirelessly receives, for example, the unique number of the in-vehicle device mounted on the vehicle, and transmits the information to the suspicious vehicle identification device 3 as vehicle identification information. The in-vehicle device mounted on the vehicle is used in, for example, an electronic toll collection system (ETC), and the unique number of the in-vehicle device is, for example, a wireless call number (WCN).

The camera 2 has a vehicle tracking function for tracking a vehicle between frames of an image captured by using an object tracking technique. Since the object tracking technique is a known technique, detailed description thereof will be omitted here. The traveling locus of the vehicle identified by the vehicle tracking function is sent to the suspicious vehicle identification device 3. The traveling locus is, for example, information that connects the positions of the vehicles for each frame from the time the vehicle enters the shooting range of the camera 2 to the time the vehicle exits.

The suspicious vehicle identification device 3 is a device that identifies a suspicious vehicle by using vehicle operation data (here, the traveling locus of the vehicle). The suspicious vehicle identification device 3 in the present embodiment determines the vehicle as a suspicious vehicle when the same vehicle repeatedly travels within a predetermined time, which cannot be normal. Unusual driving by a suspicious vehicle is related to suspicious behavior (for example, criminal activity) that a suspicious person intends to perform as described above, so various driving is assumed. Here, paying particular attention to the "U-turn", a case where the same vehicle repeatedly makes a U-turn within a predetermined time and the vehicle is determined as a suspicious vehicle will be described.

The suspicious vehicle identification device 3 has at least a communication function and an information processing function. The suspicious vehicle identification device 3 is, for example, a server. The suspicious vehicle identification device 3 here is communicably connected to the camera 2 and the terminal device 4. The suspicious vehicle identification device 3 mainly acquires vehicle identification information and operation data from the camera 2. Further, the suspicious vehicle identification device 3 notifies the terminal device 4 of specific information capable of identifying the suspicious vehicle. The specific information may be information that can uniquely identify the vehicle, or information that does not necessarily uniquely identify the vehicle (for example, information indicating a group to which the vehicle belongs). Details of the configuration and processing of the suspicious vehicle identification device 3 will be described later.

The terminal device 4 is a device used for notifying the existence of a suspicious vehicle. The terminal device 4 has at least a communication function, an information processing function, and a notification function. The terminal device 4 is, for example, a PC (Personal Computer), a multifunctional mobile phone (smartphone: Smartphone), a mobile terminal, a disaster prevention wireless device, or the like. The terminal device 4 is, for example, arranged in a facility existing around the place where the camera 2 is arranged (hereinafter, referred to as a "neighborhood facility"), or is possessed by a person who is in the neighborhood facility. Neighboring facilities include facilities where there are potential victims of suspicious behavior (for example, schools, kindergartens, nursery schools, train stations, housing, etc.) and those who prevent suspicious behavior or catch suspicious persons. Facilities (for example, government offices, police boxes, etc.). The terminal device 4 receives a notification of specific information capable of identifying a suspicious vehicle from the suspicious vehicle identification device 3, and notifies the information using characters, images, voices, and the like.

The configuration of the suspicious vehicle identification device 3 according to the embodiment will be described with reference to FIG. FIG. 2 is a schematic configuration diagram of the suspicious vehicle identification device 3 according to the embodiment.

The suspicious vehicle identification device 3 includes a storage unit 10, a control unit 20, and a communication unit 30. The communication unit 30 is, for example, a communication interface, and communicates with the camera 2 and the terminal device 4 via a communication line.

The storage unit 10 is composed of a storage medium such as a RAM (Random Access Memory), a ROM (Read Only Memory), an HDD (Hard Disk Drive), and a flash memory. The storage unit 10 includes a registration data storage unit 11, a vehicle operation data storage unit 12, and a terminal information storage unit 13.

The registration data storage unit 11 stores the registration data that defines the operation of the suspicious vehicle. The registered data is, for example, a past travel locus of a vehicle driven by a suspicious person (here, a U-turn travel locus). The registered data may be information indicating a feature point of a U-turn traveling locus.

The vehicle operation data storage unit 12 stores vehicle information about the vehicle taken by the camera 2. FIG. 3 shows an example of data configuration of the vehicle operation data storage unit 12. The vehicle information includes information on vehicle operation data (here, the traveling locus of the vehicle).
The vehicle operation data storage unit 12 stores information such as a camera ID (Identification), vehicle identification information, a determination result, and time data.

The camera ID is information that identifies the camera 2. It may have more information about the shooting location in association with the camera ID. In that case, it is possible to specify the shooting location by using the camera ID as a key. Instead of the camera ID, information about the shooting location may be directly associated with the camera 2.

Vehicle identification information is information used to identify a vehicle. Here, the color, shape, and number of the vehicle are illustrated as identification information. The information stored as the identification information in the vehicle operation data storage unit 12 may be any one of these, may include information other than these, or may be a combination of the information. The identification information may be, for example, a combination of the color and shape of the vehicle.

The judgment result is information indicating that the photographed vehicle has performed an unusual operation. In other words, the judgment result is information indicating that the driver may have been driven by a suspicious person. The determination result here is information indicating that the traveling locus of the vehicle corresponds to the traveling locus of the U-turn.

The time data is a reference time when the vehicle is photographed by the camera 2. The time data may be, for example, a start time at which the shooting of the vehicle is started or an end time at which the shooting of the vehicle is finished.

The terminal information storage unit 13 shown in FIG. 2 stores information (terminal information) related to the terminal device 4. The terminal information includes the destination information (address) of the terminal device 4. The terminal information may also include information about a neighboring facility or a resident of the neighboring facility.

The control unit 20 shown in FIG. 2 is realized by a program execution process by a CPU (Central Processing Unit), a dedicated circuit, or the like. When the control unit 20 is realized by a program, the program can be stored and provided on a computer-readable recording medium (eg, CD-ROM). The program can also be provided through a network such as the Internet.

The control unit 20 includes an acquisition unit 21, a determination unit 22, a determination unit 23, and a transmission unit 24.

The acquisition unit 21 acquires vehicle identification information (here, color, shape, number) and motion data (here, travel locus information) from the camera 2. The acquisition unit 21 may acquire the image captured by the camera 2 and calculate the vehicle identification information and the operation data from the image by itself. That is, the acquisition unit 21 may have a vehicle recognition function and a vehicle tracking function.

The determination unit 22 determines whether or not the photographed vehicle has performed an unusual operation. The determination unit 22 is, for example, a trajectory analysis model generated by using an artificial intelligence (AI) technique based on machine learning. For example, when the traveling locus of a vehicle is input, the locus analysis model outputs whether or not the traveling locus is unusually driven by a suspicious person. The locus analysis model is created, for example, by preparing a plurality of past travel loci driven by a suspicious person as supervised learning data and learning the travel loci by the suspicious person using the learning data.

Here, the determination unit 22 assumes a case of determining whether or not the traveling locus of the vehicle corresponds to the traveling locus of a U-turn. That is, when the determination unit 22 inputs the traveling locus of the vehicle, it outputs whether or not the vehicle has made a U-turn. In this case, for example, a plurality of past U-turn traveling loci are prepared as supervised learning data, and the U-turn traveling loci are learned using the learning data. Learning of past travel loci may be performed for each vehicle type (for example, four-wheeled vehicle and two-wheeled vehicle) and vehicle size (for example, large truck and ordinary vehicle). Alternatively, the determination unit 22 that has learned the general U-turn travel locus may start the operation, and re-learning may be performed using the travel locus actually photographed after the start of the operation. As a result, it is possible to make a judgment suitable for each site such as the installation condition of the camera 2 and the weather condition, and it is possible to improve the accuracy of the judgment.

The determination method by the determination unit 22 is not limited to the method using the AI technique described above, and various methods can be used. For example, when storing information indicating the feature points of the past U-turn travel locus as registered data, by comparing the photographed vehicle travel locus feature points with the past U-turn travel locus feature points, It may be determined whether the vehicle has made a U-turn.

When the determination unit 22 determines that the photographed vehicle has performed an unusual operation (here, a U-turn), the determination unit 22 associates the determination result, the camera ID, the time data, etc. with the vehicle identification information. It is stored in the vehicle operation data storage unit 12. As a result, new vehicle information (record) is added to the vehicle operation data storage unit 12 every time the determination unit 22 determines that the vehicle has performed an unusual operation. When the determination unit 22 determines that the vehicle has performed a plurality of unusual operations (here, a U-turn) in one shooting, the vehicle information (record) is provided for the number of times. You may add it. Further, the determination unit 22 may register the vehicle information of all the photographed vehicles in the vehicle operation data storage unit 12. In that case, it is preferable to delete the vehicle information other than the vehicle that has performed an unusual operation at a predetermined timing.

When the determination unit 23 detects a vehicle that repeatedly performs an unusual operation (here, a U-turn) within a predetermined time, the determination unit 23 determines the vehicle as a suspicious vehicle. That is, when the determination unit 23 determines that the same vehicle has performed an unusual operation (here, a U-turn) a predetermined number of times within a predetermined time, the determination unit 23 determines the vehicle as a suspicious vehicle. To do. For example, the determination unit 23 refers to the vehicle operation data storage unit 12 and determines whether or not a predetermined number of vehicle information for the same vehicle is created within a predetermined time. For the predetermined time, which is the range for counting the U-turn operation, and the predetermined number of times, which is the threshold for counting, it is preferable to calculate an appropriate numerical value by, for example, a preliminary experiment or a test.

The determination unit 23 may not determine a special vehicle as a suspicious vehicle even when an unusual operation (here, a U-turn) is repeatedly performed within a predetermined time. .. Special vehicles include, for example, police vehicles, taxis, and fixed-route buses. In this case, the camera 2 recognizes that the vehicle is a special vehicle from the shape of the structure installed on the upper part of the vehicle and the pattern on the side surface of the vehicle, and the acquisition unit 21 recognizes that the vehicle is a special vehicle. Get more information that indicates.

Further, the predetermined time and the predetermined number of times for counting the U-turn operation may be changed depending on the day of the week and the time zone. For example, in the morning time zone, if three U-turns are made in 20 minutes, it is judged as a suspicious vehicle, and in the afternoon time zone, if three U-turns are made in 10 minutes, it is judged as a suspicious vehicle. You may. Further, the optimum value of the predetermined time for counting the U-turn operation and the predetermined number of times may be calculated by using machine learning.

When the determination unit 23 determines that the vehicle is a suspicious vehicle, the transmission unit 24 transmits specific information that can identify the suspicious vehicle to the terminal device 4 in the proximity facility of the camera 2 that has photographed the vehicle. The content of the specific information may be changed depending on the type of nearby facility to which the information is sent. For example, the specific information transmitted to a school or a house should be only the color and shape of the vehicle in the sense that it makes it impossible to identify an individual. On the other hand, the specific information transmitted to the police box should include a number in addition to the color and shape of the vehicle in the sense that it facilitates the identification of the vehicle.

<< Operation of the suspicious vehicle identification system according to the embodiment >>
The operation of the suspicious vehicle identification system 1 according to the embodiment will be described with reference to FIG. FIG. 4 is a flowchart showing the operation of the suspicious vehicle identification system 1 according to the embodiment. Here, focusing on the "U-turn", a case where the same vehicle repeatedly makes a U-turn within a predetermined time and the vehicle is determined as a suspicious vehicle will be described.

When the suspicious vehicle identification system 1 is activated, the camera 2 starts shooting and detects a vehicle that has entered the shooting range (step S1). Here, the camera 2 has a vehicle recognition function, and acquires the identification information of the photographed vehicle. Further, the camera 2 has a vehicle tracking function, tracks a vehicle within the shooting range, and calculates a traveling locus of the vehicle. Then, the camera 2 transmits vehicle identification information (here, color, shape, number) and operation data (here, travel locus information) to the suspicious vehicle identification device 3. As a result, the acquisition unit 21 of the suspicious vehicle identification device 3 acquires vehicle identification information (here, color, shape, number) and operation data (here, travel locus information).

Next, the determination unit 22 of the suspicious vehicle identification device 3 determines whether or not the acquired operation data (here, travel locus information) corresponds to the registered data (here, U-turn locus) (step). S2).

Further, the determination unit 22 of the suspicious vehicle identification device 3 stores the vehicle identification information (vehicle color, shape, number, etc.), camera ID (detected location), determination result, time data, etc. in the vehicle operation data storage unit 12. Save (step S3).

Next, the determination unit 23 of the suspicious vehicle identification device 3 determines whether or not the same vehicle has made a U-turn a predetermined number of times at the same place within a predetermined time (step S4). If the U-turn has not been performed a specified number of times (“No” in step S4), the process returns to step S1. On the other hand, when the U-turn is performed a specified number of times (“Yes” in step S4), the determination unit 23 determines that the vehicle is a suspicious vehicle, and the transmission unit 24 sends the suspicious vehicle to the terminal device 4 of the neighboring facility. Is transmitted (step S5). Then, the process returns to step S1.

As described above, the suspicious vehicle identification system 1 and the suspicious vehicle identification device 3 according to the embodiment have vehicle identification information (here, color, shape, number) and operation data (here, traveling) detected by the camera 2. When it is determined that the vehicle has performed an unusual operation (here, a U-turn) by acquiring the locus information), the determination result is stored in the storage unit 10 in association with the identification information. Therefore, it is not necessary to register data of information (for example, number, etc.) about the vehicle in advance, and the registration work in advance is easy.

Further, the suspicious vehicle identification system 1 and the suspicious vehicle identification device 3 according to the embodiment do not have any problem in one U-turn, but are presumed to be a suspicious vehicle when, for example, the U-turn is repeated a plurality of times in a short time. Therefore, it is possible to identify a suspicious vehicle flexibly according to the operating state of the vehicle.

[Modification example]
Although the embodiments of the present invention have been described above, the present invention is not limited to this, and can be carried out within a range that does not change the gist of the claims. A modified example of the embodiment is shown below.

In the embodiment, the camera 2 is used to acquire the suspicious motion (traveling locus) of the vehicle, and the suspicious vehicle is identified from the traveling locus. However, the suspicious motion to be acquired is not limited to the traveling locus, and may be other information. For example, it may be determined that the vehicle is a suspicious vehicle when the operation of turning on the light of the vehicle or the hazard lamp is acquired and the same vehicle performs a specific operation a predetermined number of times within a predetermined time.

Further, the suspicious motion of the vehicle may be acquired by using something other than the image. For example, a sound emitted by a vehicle (for example, a horn or an engine sound) may be acquired by using voice, and if the same vehicle emits a specific sound a predetermined number of times within a predetermined time, it may be determined as a suspicious vehicle.

Further, in the embodiment, it is assumed that the camera 2 takes a bird's-eye view of the vehicle. However, when the shooting range is narrow due to the angle of view of the cameras 2 and the installation conditions, the traveling locus of the vehicle may be calculated using a plurality of cameras 2.

Further, in the embodiment, the identification of the suspicious vehicle has been described, but the present invention can also be applied to the identification of the suspicious person. For example, a person who changes direction many times at the same place in a short time may be determined as a suspicious person and reported.

1 Suspicious vehicle identification system (information processing system)
2 Camera (shooting device)
3 Suspicious vehicle identification device (information processing device)
4,4-1,4-2,4-3 Terminal device (terminal)
10 Storage unit 11 Registered data storage unit 12 Vehicle operation data storage unit 13 Terminal information storage unit 20 Control unit 21 Acquisition unit 22 Judgment unit 23 Judgment unit 24 Transmission unit 30 Communication unit

Claims (8)

A storage unit that stores registration data that defines the operation of a suspicious vehicle, a determination result of whether or not the operation of the vehicle corresponds to the registration data, and destination information of terminals of neighboring facilities.
An acquisition unit that acquires vehicle identification information and operation data,
A determination unit that determines whether the acquired operation data corresponds to the registration data, associates the determination result with the identification information, and stores the determination result in the storage unit.
When there are a plurality of determination results within a predetermined time that the operation data corresponds to the registered data for a certain identification information with reference to the storage unit, a determination unit for determining the vehicle of the identification information as a suspicious vehicle, and
A transmission unit that refers to the destination information when the determination unit determines that the vehicle is a suspicious vehicle and transmits specific information that can identify the suspicious vehicle to a terminal of the neighboring facility.
An information processing device characterized by being equipped with. The operation data of the vehicle is a traveling locus, and is
The determination unit determines whether or not the acquired motion data corresponds to the registered data by using a trajectory analysis model learned using a past travel trajectory driven by a suspicious person.
The information processing apparatus according to claim 1. The information processing device according to claim 2, wherein the operation of the suspicious vehicle is a U-turn, a stop, a reverse movement, or a sudden change of direction. The vehicle identification information includes at least one of a color, a shape, a vehicle number, and a unique number of an in-vehicle device.
The information processing apparatus according to any one of claims 1 to 3, wherein the information processing device is characterized by the above. When the determination unit identifies that the vehicle to be determined is a special vehicle, the determination unit does not determine the vehicle as a suspicious vehicle even if there are a plurality of determination results within a predetermined time.
The information processing apparatus according to any one of claims 1 to 4, wherein the information processing device is characterized by the above. The information processing device according to any one of claims 1 to 5, wherein the transmission unit transmits the specific information having different contents depending on the type of the neighboring facility. With the shooting device
The information processing apparatus according to any one of claims 1 to 6.
An information processing system including a terminal of the neighboring facility.
The acquisition unit acquires the identification information and operation data of the vehicle from the photographing device or the image captured by the photographing device.
An information processing system characterized by this. An information processing method that identifies a suspicious vehicle in an information processing device.
The information processing device
It is provided with a storage unit that stores registration data that defines the operation of a suspicious vehicle, a determination result of whether or not the operation of the vehicle corresponds to the registration data, and destination information of terminals of neighboring facilities.
An acquisition step for acquiring the vehicle identification information and operation data, and
A determination step of determining whether the acquired operation data corresponds to the registration data, and storing the determination result in the storage unit in association with the identification information.
When there are a plurality of determination results within a predetermined time that the operation data corresponds to the registered data for a certain identification information with reference to the storage unit, a determination step of determining the vehicle of the identification information as a suspicious vehicle, and
A transmission step of referring to the destination information when a suspicious vehicle is determined in the determination step and transmitting specific information capable of identifying the suspicious vehicle to a terminal of the neighboring facility.
An information processing method characterized by having.

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