Found article information management device, found article information management method, and program

Abstract

To provide a technique that enables easy identification of found articles that could be associated with crime.SOLUTION: A found article information management device disclosed herein comprises at least a search unit. When searching for first information regarding a found article, the search unit accepts a search input including search conditions regarding second information indicative of whether the found article may be associated with crime or not. The search unit then selects first information associated with second information matching the search conditions of the search input from among information in a storage unit. The search unit then outputs information based on a result of the selection.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a found-item information management device, a found-item information management method, and a program. [Background technology]

[0002] Patent Document 1 listed below discloses an example of a system that allows police to easily manage found property. In the system disclosed in Patent Document 1 listed below, when lost property (found property) delivered to a police station or the like is stored, a wireless communication tag is attached to the lost property (found property). By using the wireless communication tag, information regarding the storage location of the lost property (found property) and information regarding the return of the lost property (found property) can be easily registered in a database. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Laid-Open No. 2009-169870 Summary of the Invention [Problem to be solved by the invention]

[0004] Many lost items delivered to police and other agencies are suspected of being related to crimes based on the condition and circumstances when they were discovered. In systems such as that described in Patent Document 1, lost items must be re-examined to identify such suspicious lost items. In order to improve the efficiency of the work of police and other agencies, a technology that can easily identify lost items that may be related to crimes is desired. [Means for solving the problem]

[0005] The lost item information management device in the present disclosure includes: a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from the storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; Equipped with.

[0006] The lost item management method of the present disclosure includes: The computer When searching for first information related to a found item, a search input including search conditions related to second information indicating whether the found item is likely to be related to a crime is accepted, and first information linked to second information that matches the search conditions is selected from a storage means, and information based on the selection result is output. This includes:

[0007] The program in this disclosure is Computer, a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from the storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; Function as. [Effects of the Invention]

[0008] The present disclosure provides a technology that solves the problem of easily identifying lost items that may be related to crimes. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating a first example of a functional configuration of a found-item information management device according to the present disclosure. [Figure 2] FIG. 1 is a diagram illustrating an example of a hardware configuration of a computer that realizes a found-item information management device according to the present disclosure. [Figure 3]10 is a flowchart illustrating an example of a storage process executed by the found-item information management device according to the present disclosure. [Figure 4] 10 is a flowchart illustrating an example of a search process executed by a found-item information management device according to the present disclosure. [Figure 5] 4 is a diagram schematically illustrating a flow in which a storage processing unit in the present disclosure acquires first information and second information. FIG. [Figure 6] 1 is a diagram illustrating an example of a system including a found-item information management device according to the present disclosure. [Figure 7] 10 is a flowchart illustrating an example of a process executed by a found-item information management device according to the present disclosure. [Figure 8] FIG. 10 is a diagram illustrating a second example of the functional configuration of a found-item information management device according to the present disclosure. [Figure 9] 10 is a flowchart illustrating an example of a process executed by a found-item information management device according to the present disclosure. [Figure 10] FIG. 10 is a diagram illustrating a flow in which an alert output unit outputs an alert in accordance with a result of identifying a trend by region. [Figure 11] FIG. 10 is a diagram illustrating a third example of the functional configuration of a found-item information management device according to the present disclosure. [Figure 12] FIG. 10 is a diagram illustrating an example of an operation of a search unit. DETAILED DESCRIPTION OF THE INVENTION

[0010] Hereinafter, embodiments of the present disclosure will be described with reference to the drawings. Note that in this disclosure, the drawings relate to one or more embodiments. Furthermore, in all drawings, similar components are given similar reference numerals, and descriptions thereof will be omitted as appropriate. Furthermore, unless otherwise specified, in each block diagram, each block represents a functional configuration, not a hardware configuration. Furthermore, when elements such as blocks in a diagram are linked by arrows, the direction of the arrows is merely intended to make the flow of information easier to understand. In this case, unless otherwise specified, the direction of the arrows does not limit the direction of communication (one-way communication / two-way communication).

[0011] In the following description, "acquisition" includes at least one of the following: a device going to retrieve data or information stored in another device or storage medium (active acquisition), and inputting data or information output from another device into the device (passive acquisition). Examples of active acquisition include making a request or inquiry to another device and receiving a reply, and accessing and reading information from another device or storage medium. Examples of passive acquisition include receiving information that is distributed (or transmitted, push notification, etc.). Furthermore, "acquisition" may also mean selecting and acquiring data or information from received data or information, or selecting and receiving distributed data or information.

[0012] First embodiment <Example of functional configuration> 1 is a diagram showing a first example of the functional configuration of a found-item information management device 10 according to the present disclosure. The found-item information management device 10 shown in the diagram includes a storage processing unit 110 and a search unit 120.

[0013] The storage processing unit 110 receives input of information about the found item (hereinafter also referred to as "first information") from the user. The storage processing unit 110 associates the first information about the found item with information indicating whether the found item may be related to a crime (hereinafter also referred to as "second information") and stores them in the storage unit 20.

[0014] The search unit 120 searches the storage unit 20 for first information that matches search conditions input by the user. Specifically, the search unit 120 receives an input indicating search conditions related to second information (hereinafter also referred to as "search input") from the user. The search unit 120 then identifies second information that matches the input search conditions from the storage unit 20. The search unit 120 then selects first information linked to the identified second information. The search unit 120 then outputs information based on the selection result via a predetermined output device.

[0015] <Hardware configuration example> FIG. 2 is a diagram illustrating an example of the hardware configuration of a computer that realizes the found-item information management device according to the present disclosure.

[0016] The computer 1000 illustrated in this figure includes a bus 1010 , a processor 1020 , a memory 1030 , a storage device 1040 , an input / output interface 1050 , and a network interface 1060 .

[0017] The bus 1010 is a data transmission path for transmitting and receiving data among the processor 1020, memory 1030, storage device 1040, input / output interface 1050, and network interface 1060. However, the method of connecting the processor 1020 and the like to each other is not limited to bus connection.

[0018] The processor 1020 is a central processing unit (CPU) or a graphics processing unit (GPU).

[0019] The memory 1030 is a main storage device realized by a random access memory (RAM) or the like.

[0020] The storage device 1040 is an auxiliary storage device realized by a hard disk drive (HDD), a solid state drive (SSD), a memory card, a read only memory (ROM), etc. The storage device 1040 stores at least a program module that realizes the functions (storage processing unit 110 and search unit 120) of the above-mentioned lost-item information management device 10. The storage device 1040 can also function as the memory unit 20 that stores the first information and the second information in association with each other.

[0021] The processor 1020 loads a program module read from the storage device 1040 onto the memory 1030 and executes the program module, thereby realizing a function corresponding to the program module. For example, the processor 1020 reads a program module corresponding to the storage processing unit 110 onto the memory 1030 and executes the program module, thereby realizing the function of the storage processing unit 110 described in the present disclosure. Similarly, the processor 1020 reads a program module corresponding to the search unit 120 onto the memory 1030 and executes the program module, thereby realizing the function of the search unit 120 described in the present disclosure. This operation of the processor 1020 is common to each embodiment included in the present disclosure.

[0022] The above-described program modules may be recorded on a recording medium other than the storage device 1040. The recording medium on which the program modules are recorded may include any non-transitory, tangible medium usable by the computer 1000. The recording medium on which the program modules are recorded may have embedded therein program code that can be read by the computer 1000 (processor 1020).

[0023] The input / output interface 1050 is an interface for connecting the computer 1000 (lost item information management device 10) with various input / output devices.

[0024] The network interface 1060 is an interface for connecting the computer 1000 (the found-item information management device 10) to a network. This network includes, for example, a local area network (LAN) and a wide area network (WAN). The network interface 1060 supports various wireless and wired communication standards and establishes communication between the computer 1000 (the found-item information management device 10) and other devices (not shown) on the network. Although not particularly limited, the "other devices" include, for example, a server device equipped with a storage unit 20 that stores the first information and the second information in association with each other.

[0025] The computer 1000 (found-item information management device 10) can also be connected to various devices (not shown) via the input / output interface 1050 or the network interface 1060. The "various devices" referred to here are not particularly limited, but include, for example, input devices such as operation buttons, keyboards, touch panels, mice, and microphones, and output devices such as displays, speakers, and printers. The computer 1000 (found-item information management device 10) accepts various inputs described in this disclosure via the input devices shown as examples. The computer 1000 (found-item information management device 10) also outputs information in response to the first information searched based on the input search criteria and other inputs described in this disclosure via the output devices shown as examples.

[0026] <Example of operation of lost property information management device> An example of the operation of the found-item information management device according to the present disclosure will be described below with reference to the drawings.

[0027] FIG. 3 is a flowchart showing an example of a storage process executed by the found-item information management device according to the present disclosure.

[0028] First, the user inputs first information about the found item via the input device, and the storage processing unit 110 acquires the first information input by the user (step S102).

[0029] Then, the storage processing unit 110 acquires second information indicating whether or not the found item corresponding to the input first information is possibly related to a crime (step S104).

[0030] Then, the storage processing unit 110 associates the first information acquired in step S102 with the second information acquired in step S104, and stores them in the storage unit 20 (step S106).

[0031] By repeating the above-described process, information about a plurality of found items (combinations of the first information and the second information) is accumulated in the storage unit 20. The information accumulated in the storage unit 20 is used in the search process described below.

[0032] FIG. 4 is a flowchart showing an example of a search process executed by the found-item information management device according to the present disclosure.

[0033] First, the user inputs a search condition related to the second information via an input device. For example, the user inputs a condition "possibly related to a crime" as a search condition related to the second information. The search unit 120 accepts the search input indicating the search condition (step S202).

[0034] Then, the search unit 120 searches the storage unit 20 for and identifies second information that matches the search criteria indicated by the search input received in step S202 (step S204). Specifically, the search unit 120 identifies second information that indicates that it "may be related to a crime."

[0035] Then, the search unit 120 selects the first information linked to the second information identified in step S204 (step S206). Then, the search unit 120 outputs information based on the selected first information via a predetermined output device (step S208). For example, the search unit 120 outputs information that lists the first information linked to the second information indicating that the first information may be related to a crime via the output device.

[0036] According to the found item information management device of this embodiment, first information about found items is linked to second information indicating whether the found items may be related to a crime and stored (managed) in the storage unit 20. As a result, information about found items can be classified based on the condition of the possibility of the items being related to a crime. Then, the found item information management device of this embodiment performs a search using the condition related to the second information, such as "possibly related to a crime," to identify information about found items that may be related to a crime from the information stored in the storage unit 20 and present the identified information to the user.

[0037] That is, according to the present disclosure, a found-item information management device is provided for solving the problem of easily identifying found items that may be related to crimes. Also, according to the present disclosure, a found-item information management method executed by the found-item information management device (computer) and a program for realizing each function of the found-item information management device (computer) are provided.

[0038] A detailed example of the found-item information management device according to the present disclosure will be described below.

[0039] <Acquisition of First Information and Second Information> The flow of how the storage processing unit 110 acquires the first information and the second information will be described using Figure 5. Figure 5 is a diagram that schematically shows the flow of how the storage processing unit acquires the first information and the second information in the present disclosure. In the example of this figure, the storage processing unit 110 acquires the first information and the second information via an input screen I as shown in the figure. The input screen I exemplified in this figure includes a first field for setting information about the found item (first information) and a second field for setting information indicating whether the found item may be related to a crime (second information).

[0040] The storage processing unit 110 acquires the information set in the first field as first information to be newly registered in the storage unit 20. In the example shown in the figure, the information set in the first field, i.e., the first information, includes at least the name of the found item, the location where the found item was found, the date and time the found item was found, and / or the date and time the found item was reported. Furthermore, depending on the found item, various items may be contained within the found item. As a specific example, if the found item is a "wallet," various items such as cash and cards may be contained within the wallet. In such a case, information indicating the items contained within the found item (hereinafter also referred to as "contained items") may be further set in the first field. When information regarding the contained items is set in the first field by user input, the storage processing unit 110 acquires the information regarding the contained items as "information to be included in the first information to be stored in the storage unit 20."

[0041] The storage processing unit 110 acquires the information to be set in the second field as second information to be newly registered in the storage unit 20. In the example shown in this figure, the second field has a field for specifying the classification of the possibility that the found item is related to a crime. Although not particularly limited, in the example shown in this figure, the second field is configured to classify the "possibility that the found item is related to a crime" into one of "possible," "unlikely," and "unknown." In addition, in the example shown in this figure, the second field is configured to allow further input of information indicating the reason for the possibility that the found item is related to a crime. In addition, in the example shown in this figure, the second field is configured to allow further input of information indicating the type of crime that the found item is related to. When the second field shown in this figure is used, the second information will further include information indicating the reason for the possibility that the found item is related to a crime and / or information indicating the type of crime that the found item is related to.

[0042] The flow of setting information in the first field will be described. First, the finder of a lost item visits a specific relevant institution, such as a police station or police box, to report the found item. A user (e.g., a police officer at the counter) enters information about the found item, obtained by confirming the circumstances from the finder, into the first field of the input screen I via an input device connected to the found-item information management device 10. The storage processing unit 110 acquires, as first information, various pieces of information about the found item entered into the first field of the input screen I by user input. Note that the storage processing unit 110 may be configured to analyze images of the found item and the contained items using an image recognition engine (not shown) to identify the types of the found item and the contained items. In this case, the storage processing unit 110 can automatically enter information about the found item and the contained items (such as name and type) identified by image analysis into the first field of the input screen I.

[0043] The flow of setting information in the second field will be described. As an example, the user judges whether the found item is likely to be a crime based on the user's own experience. Then, the user sets the result of their judgment regarding whether the found item is likely to be a crime in the second field of the input screen I via the input device.

[0044] As another example, the storage processing unit 110 may be configured to determine the possibility that a found item is related to a crime in response to input of first information about the found item. For example, suppose the first information includes information about the type of the found item or the type of items contained in the found item (hereinafter also referred to as "type information"). In this case, the storage processing unit 110 may be configured to determine the "possibility that the found item is related to a crime" based on the type information and output the result of this determination. In this case, the storage processing unit 110 may automatically determine the information to be set in the second field based on the result of the determination about the "possibility that the found item is related to a crime." For example, in response to information input into the first field, the storage processing unit 110 may determine one of "possible," "unlikely," or "unknown" based on the information, and automatically set the state of the second field to correspond to the determination result. The storage processing unit 110 may also be configured to present the user with information suggesting what to set in the second field. For example, the storage processing unit 110 may be configured to display a message indicating the determination result on the input screen I. In this way, the burden of work performed by the user to store information about found items in the storage unit 20 can be reduced.

[0045] When the storage processing unit 110 determines the "possibility that a found item is related to a crime," the storage processing unit 110 uses a predetermined machine learning model. In this case, the machine learning model is constructed, for example, by learning using training data that associates information about the found item with information indicating whether the item is likely to be related to a crime. The constructed machine learning model is stored in a storage area accessible to the storage processing unit 110, such as the storage device 1040. Alternatively, the constructed machine learning model may be stored in a server device (not shown) communicatively connected to the found item information management device 10. In the latter case, the storage processing unit 110 can obtain the output result of the machine learning model (information indicating the possibility that the found item is related to a crime) via the server device by transmitting the first information set in the first field to the server device.

[0046] Furthermore, if the first information further includes information indicating the location where the found item was found (hereinafter, location information), the memory processing unit 110 may be configured to determine the "likelihood that the found item is related to a crime" using the type information and location information. For example, a specific criminal trend may be observed for the type of found item and the location where the found item was found (e.g., wallets from which cash has been stolen tend to be discarded in places such as toilets or flowerbeds). By performing learning using training data that further includes information indicating the location where the found item was found, a machine learning model is constructed that estimates the likelihood of a crime based on the combination of the type of found item and the location where the found item was found. By using the machine learning model constructed in this way, the memory processing unit 110 can determine the "likelihood that the found item is related to a crime" based on the combination of the type of found item and the location where the found item was found.

[0047] Furthermore, the storage processing unit 110 may further use the difference between the date and time of acquisition of a found item and the date and time of its report to determine the likelihood that the found item is related to a crime. For example, if the difference between the date and time of acquisition of a found item and the date and time of its report is unnaturally long, the found item may be suspected of being related to some kind of crime. In this case, by performing learning using training data that further includes information indicating the difference between the date and time of acquisition of the found item and the date and time of its report, a machine learning model is constructed that estimates the likelihood of a crime taking into account the difference between the date and time of acquisition of the found item and the date and time of its report. By using the machine learning model constructed in this way, the storage processing unit 110 can determine the "likelihood that the found item is related to a crime" taking into account the difference between the date and time of acquisition of the found item and the date and time of its report.

[0048] <Modification> 6 is a diagram illustrating a system including a found item information management device according to the present disclosure. The found item information management device 10 illustrated in this figure is configured to operate in cooperation with another system (a victim report information management system 30) that manages information related to accepted victim reports. Specifically, the storage processing unit 110 illustrated in this figure is configured to refer to the victim report database 32 of the victim report information management system 30 in response to acquiring first information related to the found item, and to determine whether the found item is likely to be related to a crime.

[0049] FIG. 7 is a flowchart showing an example of processing executed by the found-item information management device according to the present disclosure.

[0050] First, the storage processing unit 110 searches the damage report database 32 based on the first information about the found item (the name of the found item, the type of the found item, the location where the found item was found, the date and time when the found item was found / the date and time when the found item was reported, etc.) (step S302).

[0051] Then, the storage processing unit 110 determines whether or not a damage report related to the target found item exists in the damage report database 32 (step S304). For example, the storage processing unit 110 can determine the commonality between the found item and the item for which the damage report has been filed by comparing the first information with the information stored in the damage report database 32. Based on the comparison result, the storage processing unit 110 can determine whether or not a damage report related to an item that matches or is suspected to be related to the found item is stored in the damage report database 32.

[0052] If it is determined in the processing of step S304 that "a damage report related to the target found item exists in the damage report database 32" (step S304: YES), the memory processing unit 110 determines that the found item "may be related to a crime" (step S306). On the other hand, if it is determined in the processing of step S304 that "a damage report related to the target found item does not exist in the damage report database 32" (step S304: NO), the memory processing unit 110 determines that the found item "is not likely to be related to a crime" (step S308).

[0053] Then, the storage processing unit 110 executes output processing based on the determination result in the processing of step S304 (step S310). For example, the storage processing unit 110 may automatically set the state of the second field to correspond to the determination result in the processing of step S304. Furthermore, the storage processing unit 110 may present the user with information suggesting what should be set in the second field based on the determination result in the processing of step S304.

[0054] The found item information management device 10 according to this modification is configured to determine the possibility that a found item is related to a crime in cooperation with a system that manages information related to a crime report. This configuration is expected to improve the accuracy of the determination by the found item information management device 10 as to the possibility that a found item is related to a crime.

[0055] Second embodiment <Example of functional configuration> 8 is a diagram showing a second example of the functional configuration of a found-item information management device according to the present disclosure. The found-item information management device 10 shown in this diagram includes an alert output unit 130 in addition to the configuration shown in the first embodiment.

[0056] The alert output unit 130 identifies a trend in the number of found items that have been determined to be "possibly" related to a crime, based on the information stored in the storage unit 20. For example, the alert output unit 130 calculates the number of found items that have been determined to be "possibly" related to a crime, based on the information stored in the storage unit 20 over a predetermined period (e.g., the past week or the past month). The alert output unit 130 then determines the trend in the number of found items that have been determined to be "possibly" related to a crime. If the trend in the number of found items that have been determined to be "possibly" related to a crime meets a predetermined criterion, the alert output unit 130 issues an alert via a predetermined output device.

[0057] As one example, the alert output unit 130 may be configured to issue an alert when the number of found items determined to be "possibly" related to a crime exceeds a predetermined threshold. As another example, the alert output unit 130 may be configured to issue an alert when the number of found items determined to be "possibly" related to a crime shows an increasing trend (for example, an increase rate of a predetermined value or more is obtained compared to the previous counting point).

[0058] The alert output unit 130 may also be configured to identify trends by region using information indicating where found items were found, which information is included in the information stored in the storage unit 20. In this case, the alert output unit 130 can identify regions that satisfy predetermined criteria using the trends identified by region. The alert output unit 130 can then output an alert for a region where the identified trend satisfies the predetermined criteria.

[0059] <Example of operation> 9 is a flowchart showing an example of processing executed by the found-item information management device according to the present disclosure. The processing described below is executed at any timing (for example, when a request operation is executed by a user or at a pre-scheduled timing).

[0060] First, the alert output unit 130 selects target information from the information stored in the storage unit 20 (step S402). For example, if information from the past month is the target, the alert output unit 130 calculates the difference between the current date and time and the date and time when the information was stored, and selects information for which the difference is within one month.

[0061] The alert output unit 130 then identifies a trend in the number of found items that may be related to a crime, based on the second information of the information selected in the process of step S402 (step S404). The alert output unit 130 can classify the selected information by region, based on the first information of the information selected in the process of step S402, specifically, information indicating the location where the items were found. In this case, the alert output unit 130 can identify a trend by region, based on the second information of the information classified by region. The alert output unit 130 then determines whether the trend identified in the process of step S404 meets a predetermined criterion (step S406).

[0062] As an example, consider a case where the alert output unit 130 calculates the "number of potentially crime-related lost items." In this case, the alert output unit 130 determines whether the "number of potentially crime-related lost items" exceeds a predetermined threshold. As another example, consider a case where the alert output unit 130 calculates the "increase or decrease in the number of potentially crime-related lost items." In this case, the alert output unit 130 compares the "number of potentially crime-related lost items" calculated for the period of time currently being processed with the "number of potentially crime-related lost items" calculated for the institution in the previous processing. As a result, the alert output unit 130 can identify a current trend regarding the "increase or decrease in the number of potentially crime-related lost items." The alert output unit 130 then determines whether the trend in the "increase or decrease in the number of potentially crime-related lost items" indicates an increase or rate greater than a predetermined value.

[0063] If the trend identified in the process of step S404 satisfies the predetermined criterion (step S406: YES), the alert output unit 130 outputs an alert (step S408). On the other hand, if the trend identified in the process of step S404 does not satisfy the predetermined criterion (step S406: NO), the alert output unit 130 does not execute the process of outputting an alert.

[0064] Here, when trends are identified by region, the alert output unit 130 can output an alert including information indicating regions where the trends meet a predetermined criterion, as shown, for example, in Fig. 10. Fig. 10 is a diagram showing an outline of the process by which the alert output unit 130 outputs an alert in accordance with the results of identifying trends by region. The process shown in Fig. 10 allows the user to easily grasp regions where crime is on the rise and where caution is required.

[0065] <Modification> The alert output unit 130 may be configured to estimate a time period during which crimes are likely to occur based on the information stored in the storage unit 20 and include information indicating the estimated time period in the alert. In this case, the alert output unit 130 operates, for example, as follows: The alert output unit 130 identifies information selected for processing that includes second information indicating a possibility of crime-related activity. The alert output unit 130 then estimates a time period during which crimes are likely to occur using information regarding the date and time the found items were found, included in the identified information. For example, the alert output unit 130 identifies a time when the dates and times the identified pieces of information were found overlap, and estimates a certain period including that time as a time period during which crimes are likely to occur. The alert output unit 130 then includes information indicating the estimated time period in the alert and provides the alert to the user via a specified output device. This allows the user to easily understand time periods during which crimes are likely to occur and require greater attention.

[0066] Third embodiment <Example of functional configuration> 11 is a diagram showing a third example of the functional configuration of a found-item information management device according to the present disclosure. In the example shown in the figure, the found-item information management device 10 includes a search unit 120, but does not have a storage processing unit 110. In the example shown in the figure, another device (information input device 40) different from the found-item information management device 10 is provided with the storage processing unit 110.

[0067] The search unit 120 in this figure performs the same operation as described above. That is, when searching for first information related to a found item, the search unit 120 accepts a search input including search criteria related to second information indicating whether the found item is likely to be related to a crime. Then, the search unit 120 selects from the storage unit 20 first information linked to second information that matches the accepted search criteria. Then, the search unit 120 outputs information based on the result of the selection.

[0068] Here, the information stored and accumulated in the storage unit 20 is generated by the information input device 40. That is, the information input device 40 executes the process exemplified in the flowchart of Fig. 3. The information input device 40 is an input device (e.g., a business terminal) operated by a user (e.g., a police officer at a counter), as exemplified in Fig. 5 etc.

[0069] The found item information management device 10 illustrated in Fig. 11 may be, for example, any personal terminal used by a person working in another department or another location, or a server device that searches the storage unit 20 for and returns information corresponding to a search request received from the personal terminal. The found item information management device 10 illustrated in Fig. 11 executes the process illustrated in the flowchart of Fig. 4. That is, the found item information management device 10 illustrated in Fig. 11 executes a search process for first information related to found items by utilizing information generated by an information input device 40 (another device).

[0070] FIG. 12 is a diagram schematically illustrating an example of the operation of the search unit 120. As shown in FIG. 12, the user inputs at least search conditions related to the second information (i.e., conditions related to whether the found item may be related to a crime) on the search condition input screen S as conditions for searching for information related to the found item (first information). The input specifying the "conditions related to the second information indicating whether the found item may be related to a crime" is not particularly limited, but includes input specifying information specifying a category of the second information, such as "possibly related to a crime" or "unknown," as illustrated in FIG. 12. Furthermore, to further narrow down the information to be searched, the user may further input conditions related to attributes of the found item (date and time, location, type and name of the item, type of contents, etc.) on the search condition input screen S, as illustrated in FIG. 12. The search unit 120 accepts the search conditions input via the search condition input screen S in this manner. The search unit 120 then selects information matching the search conditions from the information stored and accumulated in the storage unit 20. Then, the search unit 120 outputs information about the found item selected from the storage unit 20 as a result of the search process onto the display of the user terminal.

[0071] In this example, when searching for first information related to a found item, the found item information management device 10 accepts a search input including search criteria related to second information indicating whether the found item may be related to a crime. The found item information management device 10 then selects first information that matches the search criteria from the storage unit 20 and outputs the selection result. This operation allows a person searching for information related to a found item to easily determine whether the found item may be related to a crime. In other words, the present disclosure provides a found item information management device that solves the problem of easily identifying found items that may be related to a crime. The present disclosure also provides a found item information management method executed by the found item information management device (computer) and a program for implementing each function of the found item information management device (computer).

[0072] Although the present disclosure has been described above with reference to multiple embodiments, the present disclosure is not limited to the above-described embodiments. Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present disclosure within the scope of the present disclosure. Furthermore, each embodiment can be combined with other embodiments as appropriate.

[0073] In addition, although the flowcharts used in the above description show multiple steps (processes) in a sequential order, the order of the steps executed in each embodiment is not limited to the order shown. In each embodiment, the order of the steps shown in the drawings can be changed as long as it does not cause any problems in terms of the content.

[0074] Some or all of the above-described embodiments can be described as, but are not limited to, the following supplementary notes. 1. a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from the storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; A lost item information management device comprising: 2. further comprising a storage processing means for acquiring first information and second information to be newly registered, and storing the first information and second information in association with each other in the storage means; 1. A lost item information management device according to claim 1. 3. The storage processing means If the first information includes type information indicating the type of the found item or the type of article contained in the found item, outputting a result of determining the possibility that the found item is related to a crime based on the type information. 2. A lost item information management device according to the above. 4. The storage processing means If the first information further includes location information indicating a location where the found item was found, the location information is further used to determine the likelihood that the found item is related to a crime. 3. A lost item information management device according to the above. 5. The first information includes at least the name of the found item, the location where the found item was found, and the date and time when the found item was found or the date and time when the found item was reported. 10. A lost-item information management device according to any one of 1 to 4. 6. The second information includes, if there is a possibility that the information is related to a crime, information indicating the reason for such possibility; 6. A lost-item information management device according to any one of 1. to 5. 7. The second information includes, if there is a possibility that the information is related to a crime, information indicating the type of the crime. 10. A lost-item information management device according to any one of 1. to 6. 8. further comprising an alert output means for identifying trends in the number of found items that may be related to crimes by region based on the information stored in the storage means, and outputting an alert for a region where the trends meet a predetermined criterion; 8. A lost-item information management device according to any one of 1. to 7. 9. The alert output means a time period when a crime is likely to occur is estimated based on the information stored in the storage means, and information indicating the time period is included in the alert; 8. A lost item information management device according to the present invention. 10. The computer When searching for first information related to a found item, a search input including search conditions related to second information indicating whether the found item is likely to be related to a crime is accepted, and first information linked to second information that matches the search conditions is selected from a storage means, and information based on the selection result is output. A method for managing information on lost items, including: 11. The computer acquiring first information and second information to be newly registered, and storing the first information and second information in association with each other in the storage means; 10. The lost item information management method according to claim 10. 12. The computer If the first information includes type information indicating the type of the found item or the type of article contained in the found item, outputting a result of determining the possibility that the found item is related to a crime based on the type information. 11. The lost item information management method according to claim 11, further comprising: 13. The computer If the first information further includes location information indicating a location where the found item was found, the location information is further used to determine the likelihood that the found item is related to a crime. 12. The lost item information management method according to claim 12, further comprising: 14. The first information includes at least the name of the found item, the location where the found item was found, and the date and time when the found item was found or the date and time when the found item was reported. A lost item information management method according to any one of items 10 to 13. 15. The second information includes, if there is a possibility that the information is related to a crime, information indicating the reason for such possibility; A lost item information management method according to any one of items 10 to 14. 16. The second information includes, if there is a possibility that the information is related to a crime, information indicating the type of the crime. A lost-item information management method according to any one of items 10 to 15. 17. The computer identifying trends in the number of lost items that may be related to crimes by region based on the information stored in the storage means, and outputting an alert for regions where the trends meet a predetermined criterion; 17. A lost-item information management method according to any one of 10. to 16., which includes: 18. The computer a time period when a crime is likely to occur is estimated based on the information stored in the storage means, and information indicating the time period is included in the alert; 17. The lost item information management method according to claim 17, which includes: 19. Computer, a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from the storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; A program to function as a 20. The computer and further functioning as a storage processing means for acquiring first information and second information to be newly registered, and storing the first information and second information in the storage means in association with each other. 19. The program described in. twenty one. The storage processing means If the first information includes type information indicating the type of the found item or the type of article contained in the found item, outputting a result of determining the possibility that the found item is related to a crime based on the type information. 20. The program described in. twenty two. The storage processing means If the first information further includes location information indicating a location where the found item was found, the location information is further used to determine the likelihood that the found item is related to a crime. 21. The program described in. twenty three. The first information includes at least the name of the found item, the location where the found item was found, and the date and time when the found item was found or the date and time when the found item was reported. A program according to any one of 19. to 22. twenty four. The second information includes, if there is a possibility that the information is related to a crime, information indicating the reason for such possibility; A program according to any one of 19. to 23. twenty five. The second information includes, if there is a possibility that the information is related to a crime, information indicating the type of the crime. A program according to any one of 19. to 24. 26. The computer and further functioning as an alert output means for identifying trends in the number of found items that may be related to crimes by region based on the information stored in the storage means, and outputting an alert regarding a region where the trends meet a predetermined criterion. A program according to any one of 19. to 25. 27. The alert output means a time period when a crime is likely to occur is estimated based on the information stored in the storage means, and information indicating the time period is included in the alert; 26. The program described in. [Explanation of symbols]

[0075] 10 Found item information management device 1000 computers 1010 Bus 1020 processor 1030 memory 1040 Storage Device 1050 Input / Output Interface 1060 Network Interface 110 Memory Processing Unit 120 Search Department 130 Alert output section 20 Memory section 30 Damage report information management system 32 Damage Report Database 40 Information input device

Claims

1. a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from a storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; A lost item information management device comprising:

2. further comprising a storage processing means for acquiring first information and second information to be newly registered, and storing the first information and second information in association with each other in the storage means; 2. A found-item information management device according to claim 1.

3. The storage processing means If the first information includes type information indicating the type of the found item or the type of article contained in the found item, outputting a result of determining the possibility that the found item is related to a crime based on the type information.

3. A found-item information management device according to claim 2.

4. The storage processing means If the first information further includes location information indicating a location where the found item was found, the location information is further used to determine the likelihood that the found item is related to a crime.

4. A found-item information management device according to claim 3.

5. The first information includes at least the name of the found item, the location where the found item was found, and the date and time when the found item was found or the date and time when the found item was reported.

5. A found-item information management device according to claim 1.

6. the second information includes, if there is a possibility that the information is related to a crime, information indicating the reason for such possibility; 5. A found-item information management device according to claim 1.

7. the second information includes, if there is a possibility that the information is related to a crime, information indicating the type of the crime; 5. A found-item information management device according to claim 1.

8. further comprising an alert output means for identifying trends in the number of found items that may be related to crimes by region based on the information stored in the storage means, and outputting an alert for a region where the trends meet a predetermined criterion; 5. A found-item information management device according to claim 1.

9. The computer When searching for first information related to a found item, a search input including search conditions related to second information indicating whether the found item is likely to be related to a crime is accepted, and first information linked to second information that matches the search conditions is selected from a storage means, and information based on the selection result is output. A method for managing information on lost items, including:

10. Computer, a search means for receiving a search input including search conditions for second information indicating whether the found item is likely to be related to a crime when searching for first information related to the found item, selecting from a storage means first information linked to second information that matches the search conditions, and outputting information based on the selection result; A program to function as a

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