Crime prevention index value calculation system, crime prevention index value calculation method, and crime prevention index value calculation program

Abstract

This crime prevention index value calculation system 50 comprises: a first acquiring unit 51 that acquires first information 610 pertaining to a residence from a first information source 61; a second acquiring unit 52 that acquires second information 620 pertaining to the residence from a second information source 62; and a calculating unit 53 that calculates an index value 532 pertaining to crime prevention of the residence, on the basis of the first information 610 and the second information 620, thereby improving the accuracy for evaluating crime prevention of a residence.

Description

[Technical Field]

[0001] The present invention relates to a crime prevention index value calculation system, a crime prevention index value calculation method, and a recording medium storing a crime prevention index value calculation program. [Background technology]

[0002] Crime prevention measures in homes are an important issue in people's lives, and there are high expectations for technologies that support crime prevention measures.

[0003] As a technology related to this technology, Patent Document 1 discloses a method for scoring a building's security vulnerabilities using a table. This method uses a table that represents scoring criteria for multiple check items from three perspectives: whether the building is difficult to target, difficult to break into, and difficult to damage, in three categories: surrounding environment, building, and lifestyle. This method performs security design using security countermeasure cards that indicate security countermeasures to be implemented for the building based on the scoring performed using this table. This method uses the table to divide a specific building into three perspectives: surrounding environment, building, and lifestyle, and obtains the scoring results. This method then selects a corresponding card from the security countermeasure cards based on the obtained scoring results.

[0004] Patent Document 2 also discloses a device that outputs a living environment score for each building. This device stores one or more living environment scores related to the living environment of a building in a storage unit, in association with a building identifier that identifies the building and building information related to the building. This device then accepts identification information that identifies the building, obtains one or more living environment scores that are paired with the building identifier corresponding to the identification information from the storage unit, and outputs the obtained one or more living environment scores.

[0005] Furthermore, Patent Document 3 discloses a device for providing information useful for the efficient provision of security services. This device acquires measurement results of energy usage at one or more consumers in each of one or more regions. Based on the acquired measurement results of energy usage at each consumer, this device determines, for each region, a dispatch necessity level, which is the degree to which security personnel need to be dispatched to provide security services to consumers in that region, and outputs information corresponding to the determined dispatch necessity level. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Laid-Open No. 2007-220040 [Patent Document 2] Japanese Patent Application Publication No. 2019-185498 [Patent Document 3] Japanese Patent Application Publication No. 2016-095573 Summary of the Invention [Problem to be solved by the invention]

[0007] Information about residences is provided by organizations involved in crime prevention, such as the police, security companies, real estate companies, etc. In addition, information may also be provided by ordinary people via social networking services (SNS).

[0008] According to Patent Documents 1 to 3, although it is possible to evaluate residential security, the information sources for the evaluation are limited, and therefore it is not possible to improve the accuracy of the evaluation of residential security.

[0009] A primary object of the present invention is to improve the accuracy of residential security assessments. [Means for solving the problem]

[0010] A crime prevention index value calculation system according to one embodiment of the present invention comprises a first acquisition means for acquiring first information about a residence from a first information source, a second acquisition means for acquiring second information about the residence from a second information source, and a calculation means for calculating a crime prevention index value for the residence based on the first information and the second information.

[0011] In another aspect of achieving the above object, a crime prevention index value calculation method according to one embodiment of the present invention includes an information processing device that obtains first information regarding a residence from a first information source, obtains second information regarding the residence from a second information source, and calculates a crime prevention index value for the residence based on the first information and the second information.

[0012] In addition, in a further aspect of achieving the above-mentioned object, a crime prevention index value calculation program according to one embodiment of the present invention causes a computer to execute a first acquisition process for acquiring first information about a residence from a first information source, a second acquisition process for acquiring second information about the residence from a second information source, and a calculation process for calculating a crime prevention index value for the residence based on the first information and the second information.

[0013] Furthermore, the present invention can also be realized by a computer-readable, non-volatile recording medium in which such a crime prevention index value calculation program (computer program) is stored. [Effects of the Invention]

[0014] According to the present invention, a crime prevention index value calculation system and the like can be obtained that can improve the accuracy of evaluation of crime prevention for a residence. [Brief explanation of the drawings]

[0015] [Figure 1] 1 is a block diagram showing a configuration of a crime prevention index value calculation system 10 according to a first embodiment of the present invention. [Figure 2] 1 is a diagram illustrating an example of data of residence-specific crime prevention characteristic information 171 according to the first embodiment of the present invention. FIG. [Figure 3]1 is a diagram illustrating an example of data of area-specific crime characteristic information 172 according to the first embodiment of the present invention. FIG. [Figure 4] 1 is a flowchart showing the operation of the crime prevention index value calculation system 10 according to the first embodiment of the present invention. [Figure 5] FIG. 10 is a block diagram showing the configuration of a crime prevention index value calculation system 50 according to a second embodiment of the present invention. [Figure 6] 1 is a block diagram showing a configuration of an information processing device 900 capable of realizing crime prevention index value calculation systems 10 and 50 according to the embodiments of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0016] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

[0017] First Embodiment 1 is a block diagram showing the configuration of a crime prevention index value calculation system 10 according to a first embodiment of the present invention. The crime prevention index value calculation system 10 according to this embodiment is a system that collects information related to crime prevention at each residence and calculates a crime prevention score for each residence from the collected information. The crime prevention score is a crime prevention index value that indicates the safety of the residence.

[0018] The crime prevention index value calculation system 10 is communicably connected to a first information source 20 and a second information source 30 via a communication network 40. The communication network 40 is, for example, a communication network such as the Internet.

[0019] The first information source 20 and the second information source 30 are various information providing media that transmit information about residences. The various information providing media are, for example, a security company system 21, a real estate company system 22, a police-related system 23, and a fire department-related system 24. Furthermore, the various information providing media are not limited to these systems and may include various web services and applications for transmitting information.

[0020] 1, the first information source 20 and the second information source 30 may be distinguished according to the identity of the information provider who provides information through an information providing medium. For example, if the information provider is a business operator, they may be classified as the first information source 20, and other information providers may be classified as the second information source 30. More specifically, if the information provider is a business operator that provides services related to crime prevention, they may be classified as the first information source 20, and they may be distinguished from the second information source 30.

[0021] Furthermore, even when different information providers use the same information medium to transmit information, the information may be classified into a first information source 20 and a second information source 30 according to the identity of the information provider. For example, if an organization that transmits information about crime prevention transmits information about housing through SNS, it may be treated as a first information source, and if an individual transmits information about housing, it may be treated as a second information source.

[0022] The identity of the information provider may be identified based on, for example, the domain name of the information providing medium, the domain acquirer, etc. Alternatively, the identity of the information provider may be identified based on the account, etc.

[0023] The crime prevention index value calculation system 10 is configured by one or more information processing devices such as servers, and includes a first acquisition unit 11, a second acquisition unit 12, a calculation unit 13, a learning unit 14, a restriction unit 15, a generation unit 16, and a memory unit 17. The first acquisition unit 11, the second acquisition unit 12, the calculation unit 13, the learning unit 14, the restriction unit 15, and the generation unit 16 are examples of first acquisition means, second acquisition means, calculation means, learning means, restriction means, and generation means, respectively.

[0024] The storage unit 17 is, for example, a storage device such as a RAM (Random Access Memory) or a hard disk 904, which will be described later with reference to Fig. 6. The storage unit 17 stores residence-specific crime prevention characteristic information 171, area-specific crime characteristic information 172, calculation criteria 173, restriction criteria 174, and generation criteria 175. The information stored in the storage unit 17 will be described later.

[0025] The first acquisition unit 11 acquires information about a residence (an example of first information) provided by each system included in the first information source 20. The first acquisition unit 11 may acquire information about crime prevention at a residence that is transmitted from each system included in the first information source 20 via, for example, SNS or the like. The information acquired by the first acquisition unit 11 includes crime prevention characteristic information for each residence and crime characteristic information for each area in which the residence is located. Specific examples of the information acquired by the first acquisition unit 11 from the first information source 20 are as follows. However, the information acquired by the first acquisition unit 11 from the first information source 20 is not limited to the following.

[0026] (1) Information obtained from the security company system 21 (security characteristics information for each residence) - Presence or absence of security equipment (security cameras etc. connected to a security company so that they can communicate with the security company) ·Whether or not there is a security contract with a security company (2) Information obtained from the real estate company system 22 (security characteristics information for each residence) · Presence or absence of security equipment (auto-lock, security cameras) - Presence or absence of security features (locks that are difficult to pick, windows that are hard to break, sturdy doors, etc.) Floor plan Location (floor number where the residence is located) · Exterior (photos of the residence and surrounding area) Location conditions (surrounding environment, such as the presence or absence of streetlights, police stations, 24-hour stores, volume of foot traffic, and history of natural disasters such as river flooding and tsunami damage) · Whether the property has been certified as a superior property under the crime prevention certification system (3) Information obtained from police-related systems 23 (crime characteristics information by region) -Type of crime (theft, assault, time of property damage, etc.), method of crime, number of crimes (frequency of occurrence) Number of police vehicle deployments (dispatch frequency) Number of traffic accidents (4) Information obtained from the Fire Department System 24 (crime characteristics information by region) Number of fires (frequency) Number of ambulance dispatches (dispatch frequency) - Number of fire engine dispatches (dispatch frequency).

[0027] The first acquisition unit 11 stores information regarding crime prevention by residence acquired from the first information source 20 in the memory unit 17 as crime prevention characteristic information by residence 171, and stores crime characteristic information by region acquired from the first information source 20 in the memory unit 17 as crime characteristic information by region 172.

[0028] The second acquisition unit 12 acquires information about residences (an example of second information) that is transmitted from each device included in the second information source 30 via, for example, an SNS and registered in a device connected to the communication network 40 (for example, a management server of the SNS). The information acquired by the second acquisition unit 12 includes crime prevention characteristic information for each residence and crime characteristic information for each area in which the residence is located. Specific examples of the information acquired by the second acquisition unit 12 from the second information source 30 are as follows. However, the information acquired by the second acquisition unit 12 from the second information source 30 is not limited to the following.

[0029] (1) Information on crime prevention characteristics by residence ·Reviews of the security equipment provided in each residence -Reputation of crimes that have occurred in each residence (2) Crime characteristics information by region -Reputation of each area regarding its level of public safety (crime rate, whether there are complaints about noise, etc.) · Visiting a specific store - The amount of people moving in (the more people moving in, the less likely crime is to occur).

[0030] The second acquisition unit 12 extracts keywords related to crime prevention characteristics for each residence and crime characteristics for each region by analyzing the text posted on SNS or the like regarding crime prevention for the acquired residence. It is assumed that the criteria (not shown) used by the second acquisition unit 12 when extracting keywords are stored, for example, in the storage unit 17. The second acquisition unit 12 may extract keywords, for example, by syntactically analyzing the posted text or by pattern matching with crime prevention-related words registered in a dictionary in advance. The first acquisition unit 11 may also have the function of performing this syntactic analysis or pattern matching. The second acquisition unit 12 uses keywords such as "robbery occurred," "injury occurred," "good (or poor) security facilities," "good (or bad) public safety," and "heavy (or low) foot traffic." The second acquisition unit 12 then generates information related to crime prevention for each residence and crime characteristics for each region by associating the extracted keywords with proper nouns identifying the residence or region included in the text to be extracted. The second acquisition unit 12 stores the generated information on crime prevention by residence in the storage unit 17 as crime prevention characteristic information by residence 171, and stores the generated crime characteristic information by area in the storage unit 17 as crime characteristic information by area 172.

[0031] 2 is a diagram illustrating data of residence-specific crime prevention characteristic information 171 according to this embodiment. Residence-specific crime prevention characteristic information 171 includes, for each residence, identification information, residence name, address, area, information acquired from first information source 20 by first acquisition unit 11 as described above, and information acquired from second information source 30 by second acquisition unit 12 as described above. Note that the data of residence-specific crime prevention characteristic information 171 illustrated in FIG. 2 is an example, and residence-specific crime prevention characteristic information 171 may include, for example, items different from those illustrated in FIG. 2, or may be configured from only some of the items as necessary.

[0032] In the residence-specific crime prevention characteristic information 171 illustrated in Fig. 2, the identification information is information for identifying each residence, and is assigned, for example, by the first acquisition unit 11 or the second acquisition unit 12 based on the residence name (e.g., the name of an apartment or condominium) or address. The residence name or address is included in the information acquired from the first information source 20 or the second information source 30. In addition, in the residence-specific crime prevention characteristic information 171 illustrated in Fig. 2, the area is determined, for example, by the first acquisition unit 11 or the second acquisition unit 12 based on the address.

[0033] Figure 3 is a diagram illustrating data of the area-specific crime characteristic information 172 according to this embodiment. The area-specific crime characteristic information 172 includes information relating to each area, acquired by the first acquisition unit 11 from the first information source 20 as described above, and information acquired by the second acquisition unit 12 from the second information source 30 as described above. Note that the data of the area-specific crime characteristic information 172 illustrated in Figure 3 is an example, and the area-specific crime characteristic information 172 may include, for example, items different from those illustrated in Figure 3, or may be composed of only some of the items as necessary.

[0034] The calculation unit 13 calculates a crime prevention score, which is an index value related to crime prevention of a residence, based on the residence-specific crime prevention characteristic information 171, the area-specific crime characteristic information 172, and the calculation standard 173. The calculation standard 173 represents the relationship between the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172, which include information acquired from the first information source 20 and the second information source 30, and the crime prevention score.

[0035] Furthermore, the calculation unit 13 may calculate the crime prevention score without using a criterion such as the calculation criterion 173. For example, the calculation unit 13 may calculate the crime prevention score using an evaluation function with an acquired numerical value as an argument for an evaluation item that can be obtained from a numerical value such as the asset value of a house or the crime incidence rate. Alternatively, the calculation unit 13 may output an index value related to crime prevention using machine learning (deep learning).

[0036] Below is a specific example of the calculation rule for the crime prevention score indicated by the calculation standard 173. However, the calculation rule for the crime prevention score indicated by the calculation standard 173 is not limited to the following.

[0037] (1) Regarding the information contained in the residential crime prevention information 171 The more security equipment a home has and the better the security performance of that equipment (e.g., difficulty of picking locks, difficulty of breaking windows, sturdiness of doors), the higher the security score will be. The more difficult it is to break into a residence from the outside, as indicated by the layout and exterior of the residence, the higher the crime prevention score. Regarding the relationship between the structure of a residence and the difficulty of breaking into a residence from the outside, information (knowledge) held by a security company, for example, can be used. Specifically, for example, the higher the floor on which the residence is located, the higher the crime prevention score. Also, the fewer blind spots (places where criminals can hide), the higher the crime prevention score. However, the calculation criteria 173 include criteria for extracting blind spots from the structural drawings or exterior photographs of the residence, etc. Regarding the surrounding environment, the more streetlights there are, the closer the distance to the police box is, the more 24-hour stores there are, and the more people there are, the higher the crime prevention score will be. If there is a security contract with a security company, the security score is increased by adding a specified value (additional points) that is added when there is a security contract. If a property is certified as an excellent property under the excellent crime prevention certification system, the crime prevention score will be increased by adding a specified value (additional points) that is added when a property is certified as an excellent property. The more keywords included in the information posted on SNS that indicate positive factors for crime prevention, such as "good security facilities" or "high foot traffic," the higher the crime prevention score will be. Conversely, the more keywords included in the information posted on SNS that indicate negative factors for crime prevention, such as "poor security facilities" or "low foot traffic," the lower the crime prevention score will be.

[0038] (2) Regarding the information contained in the Regional Crime Characteristics Information 172 The calculation standard 173 includes calculation rules for calculating a crime score from the information included in the area-specific crime characteristic information 172. The crime score is an index value that indicates the risk of crime in an area. The calculation unit 13 determines the final crime prevention score for a residence by subtracting the crime score calculated as described above based on the area-specific crime characteristic information 172 for the area in which the residence is located from the crime prevention score calculated as described above based on the residence-specific crime characteristic information 171. Specific examples of calculation rules for the crime score indicated by the calculation standard 173 are shown below. However, the calculation rules for the crime score indicated by the calculation standard 173 are not limited to the following. The more crimes that occur (occurrence frequency), the higher the crime score. When increasing the crime score, weighting may be performed according to the severity of the crime. Specifically, for example, the calculation unit 13 calculates the crime score using the formula "a1x1+a2x2+a3x3+...", where x i (i is a natural number) represents the number of crimes by type (murder, theft, etc.), and a i x i The calculation unit 13 then calculates a weighting coefficient for a highly violent crime such as a murder. i The value of a is increased, and a is used for less violent crimes such as theft. i A calculation formula with a smaller value may be used. The more emergency vehicles are dispatched (dispatch frequency), the higher the crime score. The more keywords included in information posted on SNS that indicate a high risk of crime, such as "robbery occurred," "assault occurred," "poor security," and "low foot traffic," the higher the crime score will be. Conversely, the more keywords included in information posted on SNS that indicate a low risk of crime, such as "good security" and "high foot traffic," the lower the crime score will be.

[0039] The calculation unit 13 calculates a crime prevention score for each residence based on the residence-specific crime prevention characteristic information 171, the area-specific crime characteristic information 172, and the above-mentioned calculation criteria 173, and reflects the calculated crime prevention score in the residence-specific crime prevention characteristic information 171. In the residence-specific crime prevention characteristic information 171 illustrated in Figure 2, of the residences with identification numbers 000001 to 000003, the residence with identification number 000001 has the highest crime prevention score and the residence with identification number 000001 has the lowest crime prevention score. One reason for this is that in the area-specific crime characteristic information 172 illustrated in Figure 3, area A, where the residence with identification number 000001 is located, has the lowest crime score, and area C, where the residence with identification number 000003 is located, has the highest crime score.

[0040] The learning unit 14 performs machine learning on the relationship between the residence-specific crime prevention characteristic information 171, the area-specific crime characteristic information 172, and the crime prevention score to generate or update the calculation standard 173. The training data used by the learning unit 14 for learning is data created based on past performance on residential crime prevention.

[0041] Furthermore, the learning unit 14 may include an artificial intelligence that is an existing technology and can explain the basis for the output result. In this case, the calculation unit 13 outputs the basis for the calculated low crime prevention score (crime prevention weaknesses) from the values ​​of the crime prevention parameters (explanatory variables) indicated by the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172 for calculating the crime prevention score (objective variable).

[0042] The restriction unit 15 has a function to restrict the disclosure destinations of the crime prevention score based on the crime prevention score calculated by the calculation unit 13, the attributes of the person viewing the crime prevention score, and the restriction criteria 174. However, the restriction criteria 174 represents the relationship between the crime prevention score, the attributes of the person viewing the crime prevention score, and the disclosure destinations of the crime prevention score, and indicates that the lower the crime prevention score of a certain home, the stricter the restrictions on the disclosure destinations of that crime prevention score. Furthermore, the restriction unit 15 may restrict the disclosure destinations of the crime prevention score without using the restriction criteria 174, for example, by using a calculation formula for determining the content of restrictions on the disclosure destinations, which uses the crime prevention score as an argument.

[0043] The restriction criteria 174 includes information for managing a person's attributes, including, for example, the person's criminal history. The restriction criteria 174 manages, for example, ID (Identification) information (such as name) that can identify a person and the person's criminal history in association with each other. Note that a person's criminal history can be obtained, for example, from publicly available (reported) information about incidents that occurred in the past.

[0044] For example, in the residence-specific crime prevention characteristic information 171 illustrated in FIG. 2, the restriction unit 15 determines, based on the restriction criteria 174, that for a residence with identification information 000001 that has a high crime prevention score, the crime prevention score should be made public to everyone. The restriction unit 15 also determines, based on the restriction criteria 174, that for a residence with identification information 000003 that has a low crime prevention score, the crime prevention score should be restricted so that it is not made public to people with a criminal record. The restriction unit 15 may also restrict the types of devices that can view the crime prevention score depending on the crime prevention score. The restriction unit 15 reflects information indicating the determined restriction on the disclosure of the crime prevention score in the residence-specific crime prevention characteristic information 171.

[0045] The restriction criteria 174 may also represent restrictions on the recipients of disclosure based on the viewing authority of the crime prevention score. The restriction criteria 174 may also represent that the lower the crime prevention score, the stronger the restrictions on the recipients of disclosure. For example, the viewing authority is defined by the number of crimes. In this case, for example, in the residence-specific crime prevention characteristic information 171 illustrated in FIG. 2, the restriction criteria 174 may represent that for a residence with the highest crime prevention score, whose identification information is 000001, the crime prevention score is made public to everyone; for a residence with the second highest crime prevention score, whose identification information is 000002, the disclosure is restricted to persons who have committed M or more crimes (M is a predetermined integer); and for a residence with the lowest crime prevention score, whose identification information is 000003, the disclosure is restricted to persons who have committed N or more crimes (N is a predetermined integer smaller than M). The viewing authority described above may be set not only based on the number of crimes, but also based on the identity of the viewer, such as a system provider, a company, or an individual.

[0046] When the crime prevention index value calculation system 10 receives an external request to view a home's crime prevention score, it requests the input of ID information of the person making the request. When performing authentication using the ID information, the crime prevention index value calculation system 10 may use biometric authentication technology such as fingerprint authentication or face authentication. If the residence-specific crime prevention characteristic information 171 indicates that the crime prevention score for the residence that is the subject of the request will not be made public to the person identified by the input ID information, the crime prevention index value calculation system 10 rejects the request to view.

[0047] The generation unit 16 generates additional information about the residence based on the crime prevention score and the generation criterion 175. The generation criterion 175 represents the relationship between the crime prevention score and the additional information. The generation unit 16 may also generate the additional information without using the generation criterion 175, for example, by using a calculation formula for determining the content of the additional information, which uses the crime prevention score as an argument.

[0048] The additional information generated by the generation unit 16 is, for example, information indicating the value of a residence, specifically the sales price of a condominium or the rental price of a rental home, etc. The generation criterion 175 indicates that the higher the crime prevention score, the higher the value of the residence indicated by the additional information (i.e., the sales price or rental price, etc.).

[0049] The additional information may also include information indicating methods for improving the crime prevention score. The information for improving the crime prevention score may include, for example, information indicating security equipment that is recommended to be installed in a residence to improve crime prevention performance. The generation unit 16 may also estimate the crime prevention score when a method for improving the crime prevention score is applied, and include the estimated crime prevention score in the additional information. The information for improving the crime prevention score may also include information introducing security companies or crime prevention advisors that are recommended to be contracted with. In this case, the generation criterion 175 indicates that the lower the crime prevention score, the more likely it is that the additional information will include information indicating the above-mentioned methods for improving the crime prevention score.

[0050] The generation unit 16 reflects the generated additional information in the residence-specific crime prevention characteristic information 171. The crime prevention index value calculation system 10 may output the additional information included in the residence-specific crime prevention characteristic information 171 to the requestor, for example, in response to a request from a real estate company or a person who wishes to purchase or rent a home.

[0051] Next, the operation (processing) of the crime prevention index value calculation system 10 according to this embodiment will be described in detail with reference to the flowchart of FIG.

[0052] The first acquisition unit 11 acquires the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172 from the first information source 20 (step S101). The second acquisition unit 12 acquires the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172 from the second information source 30 (step S102). Note that steps S101 and S102 are performed in no particular order. The calculation unit 13 calculates a crime prevention score for the residence based on the residence-specific crime prevention characteristic information 171, the area-specific crime characteristic information 172, and the calculation criteria 173, and updates the residence-specific crime prevention characteristic information 171 (step S103).

[0053] The restriction unit 15 calculates the level of restriction on disclosure of the crime prevention score based on the crime prevention score, the attributes of the person viewing the crime prevention score, and the restriction criteria 174, and updates the residence-specific crime prevention characteristic information 171 (step S104). The generation unit 16 generates additional information based on the crime prevention score and the generation criteria 175, and updates the residence-specific crime prevention characteristic information 171 (step S105), and the entire process ends.

[0054] The crime prevention index value calculation system 10 according to this embodiment can improve the accuracy of the crime prevention evaluation of a residence because the crime prevention index value calculation system 10 acquires information necessary for evaluating the crime prevention of a residence that is scattered across the first information source 20 and the second information source 30, and calculates the crime prevention score of the residence based on the acquired information.

[0055] The effects achieved by the crime prevention index value calculation system 10 according to this embodiment will be described in detail below.

[0056] The crime prevention index value calculation system 10 according to this embodiment acquires residence-specific crime prevention characteristic information 171 and area-specific crime characteristic information 172 from a first information source 20 related to crime prevention work, as well as from a second information source 30 (e.g., SNS) unrelated to crime prevention work that disseminates information to an unspecified number of people. In other words, the acquired residence-specific crime prevention characteristic information 171 and area-specific crime characteristic information 172 are acquired from a greater number of information sources and include information such as reputation of a home that is necessary for evaluating the crime prevention of a residence. This enables the crime prevention index value calculation system 10 to improve the accuracy of its evaluation of the crime prevention of a residence.

[0057] Furthermore, the crime prevention index value calculation system 10 according to this embodiment generates or updates the calculation criteria 173 by learning the relationship between the residence-specific crime prevention characteristic information 171, the area-specific crime characteristic information 172, and the crime prevention score. Furthermore, the crime prevention index value calculation system 10 uses explainable artificial intelligence to output the basis for calculating the crime prevention score. This enables the crime prevention index value calculation system 10 to efficiently improve the accuracy of evaluations based on information required for evaluating the crime prevention of a residence, and to clarify crime prevention weaknesses related to the residence.

[0058] Furthermore, the crime prevention index value calculation system 10 according to this embodiment restricts the disclosure destinations of the crime prevention score based on the crime prevention score, the attributes of the person viewing the crime prevention score, and the restriction criteria 174. The crime prevention index value calculation system 10 then imposes stricter restrictions on the disclosure destinations of the crime prevention score the lower the crime prevention score is, thereby enabling the crime prevention index value calculation system 10 to prevent crimes targeting residences with low crime prevention scores.

[0059] Furthermore, the crime prevention index value calculation system 10 according to this embodiment generates additional information about a residence based on the crime prevention score and the generation criteria 175. The higher the crime prevention score, the higher the value of the residence indicated by the additional information (e.g., sales price or rental price, etc.). Furthermore, the lower the crime prevention score, the more the crime prevention index value calculation system 10 includes in the additional information methods for increasing the crime prevention score (e.g., installing crime prevention equipment, signing a contract with a security company or crime prevention advisor, etc.). In this way, the crime prevention index value calculation system 10 can support the work of businesses such as real estate agents, and can also support people who are planning to purchase or move into a residence.

[0060] <Second embodiment> 5 is a block diagram showing the configuration of a crime prevention index value calculation system 50 according to a second embodiment of the present invention. The crime prevention index value calculation system 50 includes a first acquisition unit 51, a second acquisition unit 52, and a calculation unit 53. The first acquisition unit 51, the second acquisition unit 52, and the calculation unit 53 are examples of a first acquisition means, a second acquisition means, and a calculation means, respectively.

[0061] The first acquisition unit 51 acquires first information 610 related to a residence from a first information source 61. The first information source 61 is, for example, an information source similar to the first information source 20 according to the first embodiment. The first information 610 is, for example, information similar to the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172 acquired from the first information source 20 by the first acquisition unit 11 according to the first embodiment. The first acquisition unit 51 operates, for example, in the same manner as the first acquisition unit 11 according to the first embodiment.

[0062] The second acquisition unit 52 acquires second information 620 related to the residence from a second information source 62. The second information source 62 is, for example, an information source similar to the second information source 30 according to the first embodiment. The second information 620 is, for example, information similar to the residence-specific crime prevention characteristic information 171 and the area-specific crime characteristic information 172 acquired from the second information source 30 by the second acquisition unit 12 according to the first embodiment. The second acquisition unit 52 operates in the same manner as, for example, the second acquisition unit 12 according to the first embodiment.

[0063] The calculation unit 53 calculates an index value 531 related to crime prevention for the residence based on the first information 610 and the second information 620. The index value 531 is, for example, a value similar to the crime prevention score calculated by the calculation unit 13 according to the first embodiment. The calculation unit 53 operates in the same manner as, for example, the calculation unit 13 according to the first embodiment.

[0064] The crime prevention index value calculation system 10 according to this embodiment can improve the accuracy of the crime prevention evaluation of a residence because the crime prevention index value calculation system 10 acquires information necessary for evaluating the crime prevention of a residence that is scattered across the first information source 61 and the second information source 62, and calculates the index value 531 based on the acquired information.

[0065] <Hardware configuration example> In the above-described embodiments, each unit in the crime prevention index value calculation system 10 shown in Fig. 1 and the crime prevention index value calculation system 50 shown in Fig. 5 can be realized by dedicated HW (Hardware) (electronic circuitry). In Fig. 1 and Fig. 5, at least the following components can be considered as functional (processing) units (software modules) of a software program. First acquisition units 11 and 51, second acquisition units 12 and 52, calculation units 13 and 53, ·Learning section 14, · Restricted part 15, ·Generation unit 16, ·Memory control function in the memory unit 17.

[0066] However, the division of the various components shown in these drawings is for the sake of convenience, and various configurations may be envisioned for implementation. An example of the hardware environment in this case will be described with reference to FIG.

[0067] Fig. 6 is a diagram illustrating an example of the configuration of an information processing device 900 (computer system) capable of realizing the crime prevention index value calculation system 10 according to the first embodiment of the present invention or the crime prevention index value calculation system 50 according to the second embodiment. That is, Fig. 6 shows the configuration of at least one computer (information processing device) capable of realizing the above-described systems shown in Fig. 1 and Fig. 5, and represents a hardware environment capable of realizing each function in the above-described embodiments.

[0068] The information processing device 900 shown in FIG. 6 includes the following components, but may not include all of the following components. ·CPU(Central_Processing_Unit)901, ·ROM(Read_Only_Memory)902, ·RAM(Random_Access_Memory)903, Hard disk (storage device) 904, A communication interface 905 for communicating with external devices; Bus 906 (communication line), A reader / writer 908 capable of reading and writing data stored in a recording medium 907 such as a CD-ROM (Compact Disc Read Only Memory), · Input / output interface 909 such as a monitor, speaker, keyboard, etc.

[0069] That is, the information processing device 900 having the above-mentioned components is a general computer in which these components are connected via a bus 906. The information processing device 900 may have multiple CPUs 901 or may have a CPU 901 configured with multiple cores. The information processing device 900 may also have a GPU (Graphical Processing Unit) (not shown) in addition to the CPU 901.

[0070] The present invention, explained using the above-mentioned embodiment as an example, supplies a computer program capable of realizing the following functions to the information processing device 900 shown in FIG. 6. The functions are the functions described above in the block diagrams (FIGS. 1 and 5) or the flowchart (FIG. 4) referred to in the description of the embodiment. The present invention is then achieved by reading the computer program into the CPU 901 of the hardware, interpreting it, and executing it. The computer program supplied to the device may be stored in a readable / writable volatile memory (RAM 903) or a non-volatile storage device such as a ROM 902 or a hard disk 904.

[0071] In the above case, the method of supplying the computer program to the hardware can be a currently common procedure, such as installing the program in the device via a recording medium 907 such as a CD-ROM, or downloading the program from an external source via a communication line such as the Internet. In such a case, the present invention can be considered to be constituted by the code constituting the computer program or the recording medium 907 on which the code is stored.

[0072] The present invention has been described above using the above-described embodiments as exemplary examples. However, the present invention is not limited to the above-described embodiments. In other words, the present invention can be applied in various aspects that can be understood by a person skilled in the art within the scope of the present invention.

[0073] Note that part or all of the above-described embodiments can also be described as follows: However, the present invention, which has been exemplarily described using the above-described embodiments, is not limited to the following.

[0074] (Appendix 1) a first acquiring means for acquiring first information about the residence from a first information source; second acquiring means for acquiring second information about the residence from a second information source; a calculation means for calculating an index value related to crime prevention of the residence based on the first information and the second information; A crime prevention index value calculation system comprising:

[0075] (Appendix 2) the calculation means calculates the index value using a calculation criterion that represents a relationship between the first information, the second information, and the index value; A crime prevention index value calculation system as described in Appendix 1.

[0076] (Appendix 3) The first information source and the second information source are classified according to the identity of the information provider. A crime prevention index value calculation system according to appendix 1 or appendix 2.

[0077] (Appendix 4) the first acquisition means acquires information from a social networking service (SNS) as the first information; the second acquisition means acquires information on an SNS as the second information; A crime prevention index value calculation system according to any one of Supplementary Note 1 to Supplementary Note 3.

[0078] (Appendix 5) both the first information and the second information represent crime prevention characteristics of the residence and crime characteristics related to an area in which the residence is located; A crime prevention index value calculation system according to any one of Supplementary Note 1 to Supplementary Note 4.

[0079] (Appendix 6) The crime prevention characteristics represent at least one of the crime prevention performance of facilities and components included in the residence, the layout of the residence, the appearance of the residence, and the location conditions of the residence; The crime characteristics represent at least one of the types of crimes occurring in the area, the modus operandi of the crimes, and the frequency of crimes occurring in the area. A crime prevention index value calculation system as described in Appendix 5.

[0080] (Appendix 7) The calculation criterion indicates that the higher the risk of a crime occurring in the residence, the lower the index value. A crime prevention index value calculation system as described in Appendix 2.

[0081] (Appendix 8) the second acquisition means extracts keywords related to the crime prevention characteristics and the crime characteristics by analyzing sentences included in the second information; the calculation means calculates the index value based on the extracted keywords. A crime prevention index value calculation system according to appendix 5 or appendix 6.

[0082] (Appendix 9) further comprising a learning means for generating or updating the calculation criterion by learning the relationship between the first information, the second information, and the index value; A crime prevention index value calculation system as described in Appendix 2.

[0083] (Appendix 10) the learning means includes explainable artificial intelligence; The calculation means outputs the calculation basis of the index value indicated by the explainable artificial intelligence. A crime prevention index value calculation system as described in Appendix 9.

[0084] (Appendix 11) The information processing system further includes a limiting unit that limits the disclosure destination of the index value based on the index value and the attributes of the person who views the index value. A crime prevention index value calculation system according to any one of Supplementary Note 1 to Supplementary Note 10.

[0085] (Appendix 12) the restriction means restricts the disclosure recipients using restriction criteria that represent the relationship between the index value, the attribute, and the disclosure recipients. 12. A crime prevention index value calculation system as described in Appendix 11.

[0086] (Appendix 13) The restriction criterion indicates that the lower the index value, the stronger the restriction on the disclosure destination. 13. A crime prevention index value calculation system as described in Appendix 12.

[0087] (Appendix 14) further comprising a generating means for generating additional information about the residence based on the index value; A crime prevention index value calculation system according to any one of Supplementary Note 1 to Supplementary Note 13.

[0088] (Appendix 15) the generating means generates the additional information using a generation criterion that indicates a relationship between the index value and the additional information. 15. A crime prevention index value calculation system as described in Appendix 14.

[0089] (Appendix 16) The generation criterion indicates that the higher the index value, the higher the value of the residence indicated by the additional information. 16. A crime prevention index value calculation system as described in Appendix 15.

[0090] (Appendix 17) the generation criterion indicates that the lower the index value, the more likely it is that a method for increasing the index value will be included in the additional information. A crime prevention index value calculation system according to appendix 15 or appendix 16.

[0091] (Appendix 18) By the information processing device, obtaining first information about the residence from a first source; obtaining second information about the residence from a second source; calculating an index value related to crime prevention for the residence based on the first information and the second information; Crime prevention index calculation method.

[0092] (Appendix 19) a first acquisition process for acquiring first information about the residence from a first information source; a second acquisition process for acquiring second information about the residence from a second information source; a calculation process for calculating an index value related to crime prevention of the residence based on the first information and the second information; A recording medium storing a crime prevention index value calculation program for causing a computer to execute the above. [Explanation of symbols]

[0093] 10 Crime Prevention Index Calculation System 11 First acquisition part 12 Second acquisition part 13 Calculation section 14 Learning Department 15 Restrictions 16 Generation part 17 Memory section 171 Information on crime prevention characteristics by residence 172 Regional Crime Characteristics Information 173 Calculation Standards 174 Restriction Criteria 175 Generation Criteria 20 1st source 21 Security Company System 22 Real Estate Company System 23 Police-related systems 24 Firefighting related systems 30 Second source 31 Personal Computer 32 Smartphone 40 Communication Network 50 Crime Prevention Index Calculation System 51 First acquisition part 52 Second acquisition part 53 Calculation section 531 index value 61 1st source 610 1st information 62 Secondary sources 620 2nd information 900 Information Processing Equipment 901 CPU 902 ROM 903 RAM 904 Hard disk (storage device) 905 Communication Interface 906 Bus 907 Recording Media 908 Reader / Writer 909 Input / Output Interface

Claims

1. a first acquiring means for acquiring first information including information about a residence from a device that manages information provided to a first information source; a second acquisition means for acquiring second information including information about the residence from a device that manages information provided to a second information source from an information provider different from the information provider that provides information to the first information source; a calculation means for calculating an index value related to crime prevention of the residence based on the first information, the second information, and a predetermined calculation standard; a restriction means for restricting a person from accessing the index value based on the index value and an attribute of the person requesting access to the index value; Equipped with the first information includes first residence-specific crime prevention characteristic information, which is information related to crime prevention for each residence, and first area-specific crime characteristic information, which is information related to crimes for each area including the residence; the second information includes second residence-specific crime prevention characteristic information, which is information related to crime prevention for each residence, and second area-specific crime characteristic information, which is information related to crimes for each area; the first residence-specific crime prevention characteristic information and the second residence-specific crime prevention characteristic information are included in residence-specific crime prevention characteristic information, which is information related to crime prevention for the residence; the first area-specific crime characteristic information and the second area-specific crime characteristic information are included in area-specific crime characteristic information, which is information on crimes by area; A crime prevention index value calculation system, wherein the calculation standard is a rule for calculating the index value from the residence-specific crime prevention characteristic information and the area-specific crime characteristic information.

2. the calculation means calculates the index value using the residence-specific crime prevention characteristic information, the area-specific crime characteristic information, and the calculation standard; The calculation criteria include a rule for calculating a crime prevention score, which is a value of an index related to crime prevention for the residence, from the residence-specific crime prevention characteristic information, a rule for calculating a crime score, which is a value of an index indicating the risk of crime in the area, from the area-specific crime characteristic information, and a rule for calculating the index value from the crime prevention score and the crime score. The crime prevention index value calculation system according to claim 1 .

3. The first information source and the second information source are distinguished in advance by at least one of domain information and account information representing an information provider who provides the first information source or the second information source with information on home security.

3. A crime prevention index value calculation system according to claim 1 or 2.

4. the first acquisition means acquires information from a social networking service (SNS) as the first information; the second acquisition means acquires, as the second information, SNS information provided by an information provider different from an information provider who is a source of the first information; The crime prevention index value calculation system according to any one of claims 1 to 3.

5. The residence-specific crime prevention characteristic information indicates at least one of the crime prevention performance of facilities and components included in the residence, the layout of the residence, the appearance of the residence, and the location conditions of the residence; The area-specific crime characteristic information indicates at least one of the types of crimes occurring in the area, the modus operandi of the crimes, and the frequency of crimes occurring in the area. The crime prevention index value calculation system according to claim 1 .

6. The calculation standard is a rule for determining the index value from the residence-specific crime prevention characteristic information and the area-specific crime characteristic information, and indicates that the higher the risk of a crime occurring in the residence, the lower the index value. The crime prevention index value calculation system according to claim 1 .

7. the second acquisition means extracts the keywords related to the residence-specific crime prevention characteristic information and the area-specific crime characteristic information by analyzing sentences included in the second information using predetermined keyword extraction criteria; the calculation means calculates the index value by associating the extracted keyword with a proper noun that identifies a residence or area included in the sentence from which the keyword was extracted. The crime prevention index value calculation system according to claim 1 or 5.

8. By the information processing device, obtaining first information including information about the residence from a device that manages information provided to a first information source; acquiring second information including information about the residence from a device that manages information provided to a second information source from an information provider different from the information provider that provides information to the first information source; calculating an index value related to crime prevention for the residence based on the first information, the second information, and a predetermined calculation standard; restricting the person's access to the index value based on the index value and an attribute of the person requesting access to the index value; the first information includes first residence-specific crime prevention characteristic information, which is information related to crime prevention for each residence, and first area-specific crime characteristic information, which is information related to crimes for each area including the residence; the second information includes second residence-specific crime prevention characteristic information, which is information related to crime prevention for each residence, and second area-specific crime characteristic information, which is information related to crimes for each area; the first residence-specific crime prevention characteristic information and the second residence-specific crime prevention characteristic information are included in residence-specific crime prevention characteristic information, which is information related to crime prevention for the residence; the first area-specific crime characteristic information and the second area-specific crime characteristic information are included in area-specific crime characteristic information, which is information on crimes by area; The calculation criteria are rules for calculating the index value from the residence-specific crime prevention characteristic information and the area-specific crime characteristic information. Crime prevention index calculation method.

9. a first acquisition process for acquiring first information including information about a residence from a device that manages information provided to a first information source; a second acquisition process for acquiring second information including information about the residence from a device that manages information provided to a second information source from an information provider different from the information provider that provides information to the first information source; a calculation process for calculating an index value related to crime prevention of the residence based on the first information, the second information, and a predetermined calculation standard; a restriction process for restricting a person from accessing the index value based on the index value and an attribute of the person requesting access to the index value; on the computer, the first information includes first residence-specific crime prevention characteristic information, which is information relating to crime prevention for each residence, and first area-specific crime characteristic information, which is information relating to crimes for each area including the residence; the second information includes second residence-specific crime prevention characteristic information, which is information related to crime prevention for each residence, and second area-specific crime characteristic information, which is information related to crimes for each area; the first residence-specific crime prevention characteristic information and the second residence-specific crime prevention characteristic information are included in residence-specific crime prevention characteristic information, which is information related to crime prevention for the residence; the first area-specific crime characteristic information and the second area-specific crime characteristic information are included in area-specific crime characteristic information, which is information on crimes by area; The calculation criteria are rules for calculating the index value from the residence-specific crime prevention characteristic information and the area-specific crime characteristic information. Crime prevention index calculation program.

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