Information processing device

An information processing device addresses security risks in home parking space rental by estimating crime risk and optimizing security deployment, enhancing public safety through efficient resource allocation.

JP2025129583APending Publication Date: 2025-09-05TOYOTA JIDOSHA KK
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Patent Information

Application Number
JP2024026311
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-02-26
Publication Date
2025-09-05

AI Technical Summary

Technical Problem

Home parking space rental services face challenges as the availability of spaces is often limited to times when the provider is away, potentially revealing their absence, leading to security risks.

Method used

An information processing device that acquires unoccupied time periods of multiple homes and estimates crime risk using crime data and time information, enabling efficient deployment of security measures.

Benefits of technology

Enhances public safety by preventing security breaches and optimizing security resource allocation based on crime risk assessment.

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Abstract

To suppress reduction of public safety.SOLUTION: An information processing device comprises: acquisition means which acquires time information related to an absent time zone of each of a plurality of houses included in one area; and estimation means which estimates a degree of risk in which a crime occurs in the one area, on the basis of criminal data related to the one area and the time information.SELECTED DRAWING: Figure 2
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Description

[Technical Field]

[0001] The present invention relates to the technical field of information processing devices. [Background technology]

[0002] As an example of this type of device, a device has been proposed that provides a vehicle with parking lot information indicating parking lots with available parking spaces from among a plurality of parking lots around the destination of the vehicle (see Patent Document 1). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Publication No. 2023-081767 Summary of the Invention [Problem to be solved by the invention]

[0004] A service for renting out a home parking space has been proposed. When a provider who rents out a home parking space owns a vehicle, the time periods during which the provider can rent out the home parking space are often limited to the time periods during which the provider is using his or her own vehicle. In other words, the time periods during which the home parking space is available for rent often correspond to the time periods during which the provider is away from home. For example, there is a technical problem in that if the time periods during which the home parking space is available for rent are made public, malicious third parties may become aware of the time periods during which the provider is away from home.

[0005] The present invention has been made in view of the above-mentioned problems, and has an object to provide an information processing device that can prevent a deterioration in public order. [Means for solving the problem]

[0006] An information processing device according to one aspect of the present invention comprises an acquisition means for acquiring time information relating to the time periods when each of a plurality of houses included in a certain area is unoccupied, and an estimation means for estimating the degree of risk of a crime occurring in the certain area based on crime data relating to the certain area and the time information. [Brief explanation of the drawings]

[0007] [Figure 1] FIG. 1 is a block diagram illustrating an example of a configuration of an information processing apparatus according to an embodiment. [Figure 2] FIG. 1 is a block diagram illustrating an example of a configuration of a calculation device according to an embodiment. [Figure 3] This is an example of a map showing crime risk. [Figure 4] FIG. 10 is a block diagram showing another example of the configuration of the arithmetic device according to the embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0008] An embodiment of an information processing device will be described with reference to Fig. 1 to Fig. 3. In Fig. 1, the information processing device 100 includes a calculation device 110, a storage device 120, a communication device 130, an input device 140, and an output device 150. The calculation device 110, the storage device 120, the communication device 130, the input device 140, and the output device 150 are connected via a data bus 160. Note that the information processing device 100 does not necessarily have to include at least one of the input device 140 and the output device 150.

[0009] The arithmetic device 110 may include a processor 1101. The arithmetic device 110 may include other processors in addition to the processor 1101. That is, the arithmetic device 110 may include one or more processors. The processor 1101 may be a multi-core processor. When the arithmetic device 110 includes a single processor 1101 that is a multi-core processor, it can be said that the arithmetic device 110 logically includes multiple processors.

[0010] The processor 1101 may be, for example, at least one of a central processing unit (CPU), a graphics processing unit (GPU), a field programmable gate array (FPGA), and a tensor processing unit (TPU).

[0011] The storage device 120 may include a memory 1201. The storage device 120 may include other memories in addition to the memory 1201. That is, the storage device 120 may include one or more memories. The memory 1201 may be, for example, at least one of a RAM (Random Access Memory), a ROM (Read Only Memory), a hard disk device, a magneto-optical disk device, an SSD (Solid State Drive), and an optical disk array.

[0012] The storage device 120 can store desired data. A computer program 1201a executed by the arithmetic device 110 may be stored in the memory 1201 of the storage device 120. The storage device 120 may temporarily store data that is temporarily used by the arithmetic device 110 when the arithmetic device 110 is executing the computer program 1201a.

[0013] The computer program 1201a may be recorded on a computer-readable, non-transitory recording medium. In this case, the computer program 1201a may be stored in the memory 1201 by reading the recording medium using a recording medium reading device (not shown) included in the information processing device 100. The recording medium may be at least one of an optical disk, a magnetic medium, a magneto-optical disk, a semiconductor memory, and any other medium capable of storing a program. The computer program 1201a may be acquired (in other words, downloaded) from a device (not shown) external to the information processing device 100 via the communication device 130. The acquired computer program 1201a may be stored in the memory 1201.

[0014] The communication device 130 may be capable of communicating with devices external to the information processing device 100. The communication device 130 may perform wired communication or wireless communication.

[0015] The input device 140 is a device capable of accepting information input to the information processing device 100 from outside. The input device 140 may include an operation device (e.g., a keyboard, a mouse, a touch panel, etc.) that can be operated by a user of the information processing device 100. The input device 140 may include a recording medium reading device that can read information recorded on a recording medium that is detachable from the information processing device 100, such as a USB (Universal Serial Bus) memory. Note that when information is input to the information processing device 100 via the communication device 130 (in other words, when the information processing device 100 acquires information via the communication device 130), the communication device 130 may function as an input device.

[0016] The output device 150 is a device capable of outputting information to the outside of the information processing device 100. The output device 150 may output, as the information, visual information such as characters or images, auditory information such as sound, or tactile information such as vibration. The output device 150 may include, for example, at least one of a display, a speaker, a printer, and a vibration motor. The output device 150 may be capable of outputting information to a recording medium detachable from the information processing device 100, such as a USB memory. Note that when the information processing device 100 outputs information via the communication device 130, the communication device 130 may function as the output device.

[0017] The processor 1101 of the arithmetic device 110, together with the memory 1201 of the storage device 120 in which a computer program 1201a is stored (in other words, together with the memory 1201 and the computer program 1201a stored in the memory 1201), may execute the processing to be performed by the information processing device 100. For example, the processor 1101 may execute the computer program 1201a, thereby realizing logical functional blocks in the arithmetic device 110 (for example, in the processor 1101) for executing the processing to be performed by the information processing device 100.

[0018] 2, the arithmetic device 110 may include an acquisition unit 111 and an estimation unit 112 as logically realized functional blocks or as physically realized processing circuits. At least one of the acquisition unit 111 and the estimation unit 112 may be realized in a form in which a logical functional block and a physical processing circuit (i.e., hardware) are mixed. When the acquisition unit 111 and the estimation unit 112 are realized as functional blocks, the acquisition unit 111 and the estimation unit 112 may be realized by a single processor (e.g., processor 1101). Alternatively, the acquisition unit 111 and the estimation unit 112 may be realized by different processors.

[0019] The acquisition unit 111 acquires time information regarding the unoccupied time period of each of a plurality of homes included in one area. For example, the acquisition unit 111 may acquire the time information by estimating the unoccupied time period of each of the plurality of homes based on the available time period of a home parking space rental service. For example, the acquisition unit 111 may acquire the time information by estimating the unoccupied time period of each of the plurality of homes based on measurement results of a smart meter. Note that a smart meter refers to a device that digitizes measurement results and automatically transmits the digitized measurement results using a communication function. A smart meter may measure the usage of at least one of electricity, gas, and water, for example. A "one area" may be, for example, an area corresponding to an administrative district, or an area corresponding to the jurisdiction of at least one of a police station and a fire station.

[0020] The estimation unit 112 estimates a crime risk, which indicates the degree of risk that a crime will occur in a certain area, based on crime data related to the certain area and the time information acquired by the acquisition unit 111. In this case, the estimation unit 112 may estimate the degree of risk that a crime will occur for each of multiple sections into which the certain area is divided. The crime data may be, for example, data related to at least one of burglary, robbery, snatch theft, and arson. For example, based on the location and time of a previous burglary, the estimation unit 112 may estimate that there is a high risk of a crime occurring around a house that is near a location where a burglary has occurred and that is unoccupied during the time of the burglary.

[0021] The estimation unit 112 may estimate the risk of a crime using a learning model that outputs a crime risk when crime data related to a certain area and time information acquired by the acquisition unit 111 are input. Such a learning model may be constructed, for example, by machine learning using teacher data (i.e., by supervised learning), or by machine learning without using teacher data (i.e., by unsupervised learning). Such a learning model may be constructed, for example, by deep learning, which is a form of machine learning. A learning model constructed by deep learning may have a multi-layered neural network with multiple intermediate layers (which may also be referred to as hidden layers).

[0022] For example, the map shown in FIG. 3 is an example of a map showing the crime risk for a certain area Ar (i.e., the crime risk estimated by the estimation unit 112). Such a map may be generated for each area and for each time period. As shown in FIG. 3, a certain area Ar may be divided into multiple divisions Div. The color of each of the multiple divisions Div represents the degree of crime risk. Here, the darker the color, the higher the crime risk. When the estimation unit 112 estimates the crime risk, the calculation device 110 may control the output device 150 to display, for example, the map shown in FIG. 3. The shape of the multiple divisions Div is not limited to a rectangle, and may be any shape, such as a triangle, hexagon, circle, etc.

[0023] (Technical Effects) In the information processing device 100, the estimation unit 112 estimates a crime risk, which indicates the degree of risk of a crime occurring in a certain area, based on the time information and crime data acquired by the acquisition unit 111. For example, the crime risk estimated by the estimation unit 112 may be used to install security cameras or plan patrol schedules for at least one of police officers and security guards. As a result, for example, at least one of security cameras, police officers, and security guards can be efficiently deployed. Therefore, the information processing device 100 can prevent a deterioration in public safety in a certain area.

[0024] (Variation) A modified example of the information processing device 100 will be described with reference to FIG. 4. The information processing device 100 according to the modified example may include a calculation device 110a instead of the calculation device 110. Like the calculation device 110, the calculation device 110a may also have one or more processors. The calculation device 110a may include an acquisition unit 111, an estimation unit 112, and a proposal unit 113 as logically realized functional blocks or as physically realized processing circuits. At least one of the acquisition unit 111, the estimation unit 112, and the proposal unit 113 may be realized in a form in which a logical functional block and a physical processing circuit (i.e., hardware) are mixed. When the acquisition unit 111, the estimation unit 112, and the proposal unit 113 are realized as functional blocks, the acquisition unit 111, the estimation unit 112, and the proposal unit 113 may be realized by a single processor (e.g., processor 1101). Alternatively, the acquiring unit 111, the estimating unit 112, and the proposing unit 113 may be realized by different processors, or parts of the acquiring unit 111, the estimating unit 112, and the proposing unit 113 may be realized by one processor, and the remaining parts of the acquiring unit 111, the estimating unit 112, and the proposing unit 113 may be realized by one or more other processors different from the one processor.

[0025] The proposing unit 113 may propose patrol routes for at least one of police officers and security guards in an area Ar based on the crime risk estimated by the estimating unit 112 (e.g., the crime risk for each of a plurality of divisions Div). The proposing unit 113 may propose patrol routes using a learning model that outputs patrol routes when it receives, for example, a road map of an area Ar and the crime risk estimated by the estimating unit 112. Such a learning model may be constructed, for example, by deep learning, which is a form of machine learning.

[0026] In the information processing device 100 according to the modified example, the proposing unit 113 proposes, for example, a patrol route for at least one of police officers and security guards based on the crime risk estimated by the estimating unit 112. In other words, the patrol route is automatically proposed. Therefore, the information processing device 100 can reduce the workload of a person who plans patrols, for example. In addition, since the patrol route proposed by the proposing unit 113 is based on the crime risk estimated by the estimating unit 112, efficient patrols can be expected.

[0027] Aspects of the invention derived from the above-described embodiment and modifications will be described below.

[0028] An information processing device according to one aspect of the invention includes an acquisition unit that acquires time information regarding the time periods when each of a plurality of houses included in a certain area is unattended, and an estimation unit that estimates the degree of risk of a crime occurring in the certain area based on crime data regarding the certain area and the time information. In the above embodiment, the "acquisition unit 111" corresponds to an example of the "acquisition unit," and the "estimation unit 112" corresponds to an example of the "estimation unit."

[0029] In the information processing device, the estimation means may estimate a degree of risk of a crime occurring for each of a plurality of sections into which the one area is divided. The information processing device may include a proposal means for proposing a patrol route in the one area based on the degree of risk of a crime occurring for each of the plurality of sections. In the information processing device, the acquisition means may acquire the time information by estimating a time period during which each of the plurality of houses will be unoccupied based on an available time period for a home parking rental service.

[0030] The present invention is not limited to the above-described embodiments, but can be modified as appropriate within the scope that does not contradict the gist or idea of ​​the invention that can be read from the claims and the entire specification, and information processing devices that involve such modifications are also included in the technical scope of the present invention. [Explanation of symbols]

[0031] 100...information processing device, 111...acquisition unit, 112...estimation unit, 113...proposition unit

Claims

1. an acquisition means for acquiring time information relating to an unoccupied time period for each of a plurality of houses included in one area; an estimation means for estimating the degree of risk of a crime occurring in the one area based on the crime data related to the one area and the time information; An information processing device comprising:

2. The estimation means estimates the degree of risk of a crime occurring for each of a plurality of sections into which the one area is divided.

2. The information processing apparatus according to claim 1, wherein:

3. a suggestion means for suggesting a patrol route in the one area based on the degree of risk of a crime occurring in each of the plurality of blocks; 3. The information processing apparatus according to claim 2, wherein:

4. The acquisition means acquires the time information by estimating an unoccupied time period of each of the plurality of houses based on an available time period for a home parking space rental service.

2. The information processing apparatus according to claim 1, wherein:

Citation Information

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