JP6560405B1 - Lost and found information voice response system, method and program - Google Patents

Abstract

An AI speaker is used to reduce time and labor for searching for lost items. A lost-item information voice response system 100 includes a tag 62 for transmitting an object ID indicating an ID of an object 60, ID acquisition means 50A, 50B for acquiring an object ID from the tag 62, a server 30, and a voice. The AI speaker 10 is capable of input / output. The object ID acquired by the ID acquisition means 50A, 50B is stored in the object database of the server 30 in association with the position information and time information from which the object ID is acquired. When there is a request regarding an object by voice input from the user 80 to the AI speaker 10, the server 30 receives time information and position information corresponding to the object ID of the object specified by the voice recognition in response to the request. This is acquired with reference to the object database and provided to the AI speaker 10. The AI speaker 10 that has acquired the reference result answers the reference result by voice. [Selection] Figure 1

Description

  The present invention relates to a lost article information voice answering system, a method, a program, and an AI speaker for answering lost items.

  As a technique for providing information on a lost article, for example, there is a technique described in Patent Document 1 below. According to Patent Document 1, a PHS communication function is attached to an object, an area of several hundred meters is specified for the location of the object, and then a mobile person with a detector having an antenna of the PHS communication function moves. In addition, there is provided a technique for approaching and finding an object by sharing information on location information between detectors and specifying an orientation approaching the object.

  According to Patent Document 2 below, a wireless tag that is attached to a watched object and transmits a short-range wireless communication signal including a uniquely identifiable identifier, and a short-range wireless signal transmitted from the wireless tag are received. A mobile terminal that determines that the identifier included in the short-range wireless signal matches the identifier of the wireless tag attached to the watch target specified as the search target, and the watch target specified as the search target. A management device that transmits the identifier of the wireless tag attached to the portable terminal to the portable terminal, and manages the identifier of the wireless tag and the watching target attached with the wireless tag in association with each other based on the determination result by the portable terminal. A watch system is provided.

JP, 2014-182021, A JP 2016-36123 A

  However, the technique of Patent Document 1 described above has a problem that the location of the object is not clearly specified. Further, in Patent Document 2 described above, although the management device and the client are notified of the location of the found watching object, there is a problem that only the location at the time of discovery is notified.

  Lost property notifications are considered more convenient by users for sound notifications and sound input than simply displaying notifications on the screen. Not yet provided.

  The present invention focuses on the above points, and can use AI (speaker type computer capable of voice input / output) to reduce the time and effort required to search for lost items. It is an object of the present invention to provide a lost article information voice answering system, method, program, and AI speaker.

The present invention is a lost article information voice answering system for causing an AI speaker capable of voice input / output to answer a lost article by voice, wherein the article ID is obtained from a tag that transmits an article ID indicating the ID of the article. A plurality of acquisition means for acquiring, storage means for storing the acquired object ID, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired; , Referring to the time information and the position information corresponding to the object ID of the object specified by the voice recognition in response to a request regarding the object inputted by voice from the AI speaker, the reference means referring to the storage means, the results, and a reply unit configured to respond by voice to the AI speaker, the user of the object is, by registering the inventory list of the go advance, from AI speaker specific word When the possession list and the storage unit are referred to in response to a request regarding an object inputted by voice, and the result of referring to each possession registered in the possession list is determined to have forgotten, the determination the result of the, the answer means providing lost item information voice answer system Ru is notified by voice to the AI speaker.

Furthermore, the present invention provides a lost article information voice answering method for causing an AI speaker capable of voice input / output to answer a lost article by voice, from a tag for sending an article ID indicating the ID of the article. The acquisition means obtains the object ID, stores the acquired object ID, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired in association with each other. And referring to time information and position information corresponding to the object ID of the object specified by voice recognition in response to a request regarding the object input by voice from the AI speaker, and the reference the result, and a step of reply by voice to the AI speaker, that the user of the product is, registers the inventory list of the go advance, the AI speaker When it is determined that there is a forgotten thing from the result of referring to each possession registered in the possession list by referring to the possession list and the storage means in response to a request related to the object for which a predetermined word is inputted by voice the result of the judgment, provides lost item information voice answer how Ru is notified by voice to the AI speaker.

Furthermore, the present invention is a program for causing an AI speaker capable of voice input / output to perform a lost article information voice reply process for answering a lost article by voice, and an object ID indicating the ID of the article A plurality of acquisition means to acquire the object ID from the tag that transmits the information, the acquired object ID, the position information indicating the position where the object ID is acquired, and the time indicating the time when the object ID is acquired Storing the information in association with each other, and in response to a request regarding the object input by voice from the AI speaker, the time information and the position information corresponding to the object ID of the object specified by the voice recognition from the storage unit a step of referencing, the result of the reference, the step of reply by voice to the AI speaker, is executed, the user of the object is, the inventory list of the go advance Noboru As a result, the inventory list and the storage means are referred to in response to a request regarding an object in which a specific word is input by voice from the AI speaker, and from the result of referring to each inventory registered in the inventory list. If it is determined that there is left behind, the result of the judgment, to provide because of the program is notified by voice to the AI speaker.

  According to the present invention, information on an object is acquired from a server by voice input to an AI speaker, and the acquired information is output by voice from an AI speaker. Therefore, time and labor required for searching for an object are reduced, and lost items are eliminated. be able to.

It is a conceptual diagram which shows the outline | summary of the lost article information voice response system of one Embodiment of this invention. It is a block diagram which shows the function structure of the lost article information audio | voice reply system of the said embodiment. It is a figure which shows an example of the thing database of the said embodiment. It is a figure which shows an example of the belonging list of the said embodiment. It is a flowchart which shows an example of the thing information reply process of the said embodiment. It is a flowchart which shows the other example of the thing information reply process of the said embodiment. It is a figure which shows the mode of an example of the request | requirement by voice at the time of referring the belonging list of the said embodiment, and a notification. It is a figure which shows the mode of the other example of the request | requirement by voice at the time of referring the belonging list of the said embodiment, and a notification.

  Hereinafter, the best mode for carrying out the present invention will be described in detail based on examples.

  <Overall Configuration> FIG. 1 is a conceptual diagram showing an outline of a lost article information voice reply system according to the present embodiment. Lost and found information voice answering system 100 is a system for answering information about an object in order to eliminate a lost article, and includes an AI speaker (speaker type computer capable of voice input / output) 10 and a tag attached to the object 60. The ID acquisition means 50A, 50B for acquiring the object ID from 62 and providing the acquired position information and time information to the server 30, the acquired object ID and the acquired position information and time information are stored in association with each other, and AI is stored. The server 30 is configured to provide information about the object to the AI speaker 10 in response to a voice request received by the speaker 10. Note that the numbers of the ID acquisition units 50A and 50B, the objects 60, and the users 80 are examples, and are not limited to the illustrated examples.

  More specifically, as shown in FIG. 1, a tag 62 attached to an object 60 (a wallet in the illustrated example) transmits an “object ID” related to the object (S1 in FIG. 1). ID acquisition means 50A and 50B receive. The ID acquisition unit 50A is an example of a smartphone, which may be a user's own smartphone or a smartphone of another user who uses this system. In order for the smartphone to function as an ID acquisition unit, it can be realized by introducing an application dedicated to the system, for example. Further, for example, a spot that is fixedly installed on a road or various facilities, such as the ID acquisition unit 50B, may be used as the ID acquisition unit.

  The object IDs acquired by these ID acquisition means 50A and 50B are transmitted to the server 30 using the position of the ID acquisition means 50A and 50B when the object ID is acquired as position information and the acquired time as time information ( S2 in FIG. The server 30 stores these object IDs, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired in association with each other.

  Here, when the user 80 inputs a request regarding an object to the AI speaker 10 by voice, for example, “Where is your wallet?” (S3 in FIG. 1), the AI speaker 10 sends an AI request to the server 30. A request regarding an object inputted by voice is transmitted to the speaker 10 (S4 in FIG. 1).

  When the server 30 accepts the request, the server 30 provides the AI speaker 10 with time information and position information corresponding to the object ID of the object specified by voice recognition in response to the request with reference to the storage means (see FIG. 1 S5). The AI speaker 10 answers the provided reference result by voice (S6 in FIG. 1). For example, “Your wallet was at 00:00 by 10:47 on 2018/4/1”.

  <Functional Configuration> FIG. 2 is a block diagram showing a functional configuration of the lost-item information voice answering system of the present embodiment. First, the AI speaker 10 will be described. The AI speaker 10 is a speaker-type computer capable of voice input / output, and may be a stationary AI speaker 10A specialized for a speaker, or a smartphone having a voice input / output function may be an AI. It may be used as the speaker 10B. Of course, you may make it use these both properly according to a condition.

  The AI speaker 10 includes a request receiving means (voice input receiving means) 12, an object information requesting means 14, an object information acquiring means 16, a voice answering means 18, a map data 20, a belonging list 22, and schedule data 24. It has. The AI speaker 10 includes a processor, a memory, a storage, and a communication unit (not shown), which are connected by a bus. The processor is configured by a CPU (Central Processing Unit), for example, and performs various processes by reading and executing various programs stored in the memory. The memory stores a program executed by the CPU, and includes, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, the request receiving means 12, the object information requesting means 14, the object information acquiring means 16, the voice answering means 18 and the like are stored. The storage stores map data 20, inventory list 22, schedule data 24, a control program (not shown), and the like. The communication unit performs data communication with the server 30 or the like via the network 70.

  Note that the map data 20 is not necessarily stored in the AI speaker 10, and map data 40 stored in the server 30 described later may be used. Also, the belonging list 22 and the schedule data 24 do not need to be stored in the AI speaker 10, and may be stored in the server 30. Of course, this does not preclude storing these data in both the AI speaker 10 and the server 30.

  The request accepting unit 12 accepts a request related to an object input by the user 80 by voice, for example, a request “Where is the wallet?”. In response to the request, the object information requesting unit 14 requests the server 30 for information corresponding to the object ID of the object specified by voice recognition. Note that the identification of the object by voice recognition may be performed on the server 30 side. The object information acquisition unit 16 acquires information provided from the server 30 in response to the request. Note that the request and acquisition of these pieces of information are performed via a communication means and network 70 (not shown).

  For example, when the position information of an object provided from the server 30 is specified by latitude and longitude, the map data 20 specifies a position on the map corresponding to the latitude and longitude, and displays on the map. For example, it is referred to for outputting as a facility name, road name, signal name, or the like. As described above, the map data 20 is not necessarily provided in the AI speaker 10 as long as it is stored in the server 30.

  The belongings list 22 is a list of things that the user 80 needs when he / she normally goes out (commuting or attending school). FIG. 4 shows an example of the belonging list 22. In the upper part of the inventory list 22 shown in the figure, time information 22A and property information 22B are provided. For example, the time information 22A is set as “commuting (weekdays 8:30 departure from home)”, and the item information 22B is set as “1 key”, “2 bag”, “3 wallet”, for example. The Of course, it is not limited to this. For example, when going out on a day of the week or time determined by learning, such time information, for example, “gym (weekdays 20:00 departure from home)”, belonging information “1 gym bag”, “2 towel” “3 shoes” may be set. When such a belonging list 22 is set, processing to be described later is performed in parallel with the request and reply for a normal item.

  For example, the schedule data 24 is shown as calendar information 23A at the bottom of the inventory list 22 of FIG. 4, and schedule information 23B and property information 23C are shown. The schedule information 23B is set, for example, as “June 6 overseas business trip (starting at 6:00 am home departure)”, and the object information is set as “1 passport”, “2...”. When such calendar information 23A is set, a request and reply for the information of the item set in the calendar information 23A may be made in preference to the normal inventory list.

  Here, the calendar information 23A is provided together in the inventory list 22, but this is also an example, and the inventory list 22 and the schedule data 24 may be provided separately. The list 22 and the schedule data 24 may be associated with the object database 38 of the server 30 for each user.

  Next, the server 30 will be described. The server 30 includes an object ID acquisition unit 32, a reference unit 34, an object information provision unit 36, an object database 38, and map data 40. The server 30 includes a processor, a memory, a storage, and a communication unit (not shown), which are connected by a bus. The processor is configured by a CPU (Central Processing Unit), for example, and performs various processes by reading and executing various programs stored in the memory. The memory stores a program executed by the CPU, and includes, for example, a ROM (Read Only Memory) or a RAM (Random Access Memory). For example, the object ID acquisition means 32, the reference means 34, the object information provision means 36, etc. are memorize | stored. The storage stores the object database 38, the map data 40, a control program (not shown), and the like. In addition, the belonging list 22 and the schedule data 24 described above may be stored in the server 30. The communication unit performs data communication with the AI speaker 10 and the like via the network 70.

  The object ID acquisition means 32 acquires the object ID 64, the position information indicating the position where the object ID 64 is acquired, and the time information indicating the acquired time from the ID acquisition means 50, 50A, 50B via the network 70, These are stored in the product database 38 as product data associated with each other. In response to a request relating to an object input from the AI speaker 10 by voice, the reference unit 34 corresponds to the object ID of the object specified by voice recognition, and stores information on the object corresponding to the user ID in the object database. 38 to identify. The object information providing unit 36 provides the object information specified by the reference unit 34 to the AI speaker 10. Note that such data exchange is performed via a communication unit (not shown).

  The object database 38 stores the object ID 64, the position information indicating the position where the object ID 64 is acquired, and the time information indicating the time when the object ID 64 is acquired in association with each other. The object ID 64 and the user ID are also associated with each other. Is going. Further, the user ID and the AI speaker ID may be linked. FIG. 3 shows an example of the object database 38. In the illustrated example, a service ID 38A, a user ID 38B, an object ID 38C, an object name 38D, a reception date 38E, a reception time 38F, and position information 38G are stored.

  For example, there are three object IDs associated with the user ID “1234”, “abcd”, “efgh”, and “ijklm”, “abcd” is “wallet”, and “efgh” is “key” "Ijklm" is associated with "bag". For each of these items, the reception date, reception time, and position information are stored in the order of acquisition. For example, the reception date, reception time, and location information of “wallet” are “2018/4/2” “20:47” “latitude xxx / longitude yyy”, “2018/4/2” “08:26” “latitude”. Recent received information is accumulated such as “ww / longitude zzz”, “2018/4/1”, “14:39”, and “latitude xy / longitude yzx”. The same applies to the other objects 60.

  The map data 40 specifies the position on the map corresponding to the latitude and longitude when the position information of the object specified by the reference means 34 with reference to the object database 38 is specified by latitude and longitude, The display on the map, for example, is referred to in order to make the AI speaker 10 output sound by the facility name, road name, and signal name. When there is map data on the AI speaker 10 side, it is not always necessary to provide the map data 40 on the server 30.

  The ID acquisition unit 50 includes an object ID acquisition unit 52 and an object ID provision unit 54. The object ID acquisition means 52 acquires the object ID 64 from the tag 62 that transmits the object ID 64. The object ID providing unit 54 provides the server 30 with the acquired object ID 64, position information indicating the acquired position, and time information indicating the acquired time. The acquisition of the object ID by the object ID acquisition means 52 is performed by, for example, a Bluetooth (registered trademark) Low Energy (BLE) standard communication receiver. Further, the provision of data to the server 30 by the object ID providing means 54 is performed via the network 70.

  The ID acquisition unit 50 may use a smartphone that functions as the ID acquisition unit 50A by installing a smartphone-dedicated application, or a spot having a similar function installed in a fixed place such as an urban area or various facilities. The ID acquisition unit 50B may be used. The more these ID acquisition means 50A and 50B are, the faster and more accurate the acquisition of the object information is.

  The object 60 is something that the user 80 is in trouble if lost, and a dedicated tag 62 is attached to acquire information in this system. The tag 62 includes an object ID 64 for identifying an object and a transmission means 66. As the transmission means 66, for example, a Beacon mechanism using communication of Bluetooth (registered trademark) Low Energy (BLE) standard can be used. As described above, using Beacon for the tag 62 has an advantage of reducing power consumption. In addition, although the thing 60 showed the wallet in the example of illustration, it is not limited to this, What can attach tags 62, such as a bag, a key, cosmetics, a notebook, glasses, clothing, shoes? Anything may be used.

  The network 70 includes the Internet, and the AI speaker 10, the server 30, and the ID acquisition means 50, 50 </ b> A, 50 </ b> B perform data transmission / reception via the network 70.

  <Object Information Answer Process 1> ... Next, an example of the object information answer process by the lost article information voice answer system 100 will be described with reference to FIG. FIG. 5 is a flowchart showing an example of the object information reply process according to the present embodiment, and is a case where the belonging list 22 described above is not registered. In addition, as shown by “S1” and “S2” in FIG. 1, the acquisition of the object ID 64 by the ID acquisition means 50, 50A, 50B, and the provision of information regarding the acquired object ID 64, its acquisition position, and acquisition time are provided as needed. It is assumed that it is stored in association with the server 30.

  When the user 80 makes a voice-related request to the AI speaker 10 regarding an object, for example, a voice request “Where is your wallet?” (S3 in FIG. 1, Yes in step S10 in FIG. 5), the AI speaker 10 receives a request. The means 12 accepts the request and requests the server 30 for information related to the object specified by the voice recognition (S4 in FIG. 1). In the server 30, the reference unit 34 refers to the object database 38 (step S <b> 12 in FIG. 5), and acquires time information and position information corresponding to the requested object ID from the object database 38.

  For example, the object ID corresponding to the wallet is “abcd”, and when the object information providing means 36 transmits the reference result to the AI speaker 10 by referring to the position information and information about the acquisition time, the object information acquisition of the AI speaker 10 is performed. The object information is acquired by the means 16 (S5 in FIG. 1, step S14 in FIG. 4). The voice answering means 18 of the AI speaker 10 answers the acquired reference result by voice (S6 in FIG. 1, step S16 in FIG. 4). For example, “the wallet was in latitude xxx / longitude yyy by 20:47 on 2018/4/2”.

  In addition, since notification by latitude / longitude is difficult for the user 80 to understand, the map data 40 of the server 30 and the map data 20 of the AI speaker 10 are referred to on the map corresponding to the acquired latitude / longitude (facility name). Or a road name, etc.) may be notified by voice. Further, if the acquired position information is close to the user 80 (near the AI speaker 10 or the smartphone of the user 80 used as the AI speaker), the notification may be made such as “I am at hand”.

  In addition, in the above-described object information request, the user ID indicating the user ID is also stored, and the object associated with the user ID specified by the speaker is referred to from the voice of the user 80 input by voice. Also good. That is, a plurality of users 80 may use one AI speaker 10 properly. In this case, when the server 30 refers to the object information, the user ID and the AI speaker ID may be linked.

  In addition, in the above-described response of the object information, when there are a plurality of pieces of time information and position information in the object database 38, the latest time information and position information may be answered, or the answer may be made in time series. It may be.

  <Object Information Reply Process 2> ... Next, another example of the object information answer process by the lost article information voice answer system 100 will be described with reference to FIGS. FIG. 6 is a flowchart showing another example of the object information reply process according to the present embodiment, and shows an example in which the belonging list 22 described above is registered. FIG. 7 and FIG. 8 are diagrams illustrating an example of a request and notification by voice when referring to the inventory list 22. When the belonging list 22 is registered, this processing is performed in parallel with the normal property information request. In addition, as shown by “S1” and “S2” in FIG. 1, the acquisition of the object ID 64 by the ID acquisition means 50, 50A, 50B, and the provision of information regarding the acquired object ID 64, its acquisition position, and acquisition time are provided as needed. The process performed and stored in association with the server 30 is the same as in the case of the process shown in FIG.

  When the user 80 makes a voice-related request regarding the object to the AI speaker 10, for example, a specific voice request “I will go” from home (Yes in step S <b> 20 in FIG. 6, the upper row in FIG. 7), the AI speaker 10 The request receiving unit 12 receives the request, refers to the belonging list 22 (step S22 in FIG. 6), and requests the server 30 for information on each of the items described in the belonging list 22. In the server 30, the reference means 34 refers to the object database 38 (step S24 in FIG. 6), and acquires time information and position information corresponding to the requested object ID from the object database 38.

  For example, the object ID corresponding to the “key” registered in the belongings list 22 is “efcd”, and the position information and information regarding the acquisition time are referred to. The same applies to other items “bags” and “wallets” registered in the inventory list 22. When the object information providing unit 36 transmits the reference result to the AI speaker 10, the object information is acquired by the object information acquiring unit 16 of the AI speaker 10 (step S26 in FIG. 6). When it is determined that the user 80 has forgotten the key based on the acquired position information when the user 80 leaves the home (Yes in step S28), the voice answering means 18 of the AI speaker 10 notifies by voice. (Step S30 in FIG. 6, subsequent stage in FIG. 7). The voice notification at this time is output as a voice from the AI speaker 50A of the user 80 (when the mobile phone is functioning as an AI speaker), for example, “Have you forgotten the key?”. This prevents the user 80 from noticing the forgotten things at an early stage and searching for lost items after a while.

  In addition, processing when returning home with reference to the belongings list 22 will be described with reference to FIG. When a request by a specific voice, for example, a request “I'm right” is input to the AI speaker 10 when the user 80 returns home (Yes in step S20 in FIG. 6, the upper row in FIG. 8), the request receiving means 12 of the AI speaker 10 is received. Receives the request, refers to the inventory list 22 (step S22 in FIG. 6), and requests the server 30 for information regarding each of the assets described in the inventory list 22. In the server 30, the reference means 34 refers to the object database 38 (step S24 in FIG. 6), and acquires time information and position information corresponding to the requested object ID from the object database 38.

  For example, the item ID corresponding to “wallet” registered in the belongings list 22 is “abcd”, and the location information and information about the acquisition time are referred to. The same applies to the other items “key” and “bag” registered in the belonging list 22. When the object information providing unit 36 transmits the reference result to the AI speaker 10, the object information is acquired by the object information acquiring unit 16 of the AI speaker 10 (step S26 in FIG. 6). When it is determined from the acquired position information and time information that the wallet has been forgotten (Yes in step S28 in FIG. 6), the voice response means 18 of the AI speaker 10 notifies by voice (step in FIG. 6). S30, the latter part of FIG. 8). The voice notification at this time is, for example, from the AI speaker 50A of the user 80 (when the mobile phone is functioning as an AI speaker) such as “Have you forgotten your wallet? Sound is output. As a result, the user 80 can notice the forgotten things early and can go to the notified purse location. The notification of the position information in this case may be notified by display on the map with reference to the map data instead of the notification of the latitude and longitude as in the process of FIG.

  In addition, the above-described single AI speaker 10 may be selectively used by a plurality of users 80, as in the above-described processing of FIG. Furthermore, when there is a plurality of time information and position information in the object database 38 in response to the object information, the latest time information and position information may be returned, or the time information may be returned in time series. Also good.

  <Object Information Reply Processing 3>... The same processing as in FIGS. 6 and 7 is also performed when the inventory list 22 and the calendar function are linked. For example, when entering a schedule in the calendar of a smartphone, if you enter the inventory list for the day and set it as the inventory list 22 in advance, you will be notified if you have forgotten any of the schedule-limited inventory lists for that day To do. In the example of FIG. 4, “1 passport” is set as a belonging when leaving home at 6:00 am on June 6, and when the user 80 leaves home at this time of the day, By inputting a specific voice input to the AI speaker 10, for example, “I will come”, the same processing as in FIG. 6 described above is performed, and if there is something left behind at home, it functions as an AI speaker. A voice notification such as “Did you forget your passport?” Is sent from the smartphone of the user 80.

  <Effect> According to the embodiment described above, the ID acquisition means 50 for acquiring the object ID 64, the acquired object ID 64, and the object ID 64 from the tag 62 that transmits the object ID 64 indicating the ID of the object 60. The position information indicating the position where the object ID 64 is acquired and the time information indicating the time when the object ID 64 is acquired are stored in the object database 38 in association with each other. In response to the request, the server 30 that refers to the time information and the position information corresponding to the object ID 64 of the object 60 specified by the voice recognition from the object database 38, and the AI speaker 10 that answers the referred result by voice. . In this way, by using the AI speaker 10 to request and answer (or notify) information about an object by voice, it is possible to reduce the time and labor required to search for an object and to eliminate lost items.

  In addition, according to the present embodiment, the belonging list 22 when the user 80 normally goes out is registered in advance, so that the belonging list 22 can be obtained in response to a request regarding an object input from the AI speaker 10 with a specific voice. The product database 38 is referred to. Then, when it is determined that there is a forgotten item from the result of referring to each item registered in the item list 22, the AI speaker 10 is made to answer the determined result by voice. For this reason, it is possible to eliminate lost items in daily life by registering items that are normally carried around in advance. Further, by connecting the inventory list 22 and the calendar function, it is possible to prevent forgotten items or lost items when performing different behaviors such as business trips and leisure activities.

  Furthermore, when there are a plurality of time information and position information corresponding to the object ID 64, if the time information and the position information are answered in time series, a third party mistakenly brought back the object of the user 80. In this case, it is easy to track.

The above-described embodiment is an example, and can be changed as appropriate within a range where the same effect is obtained. Moreover, the form with which the following modifications were combined may be sufficient.
(1) The numbers of the AI speaker 10, the ID acquisition unit 50, and the object 60 shown in the above-described embodiment are merely examples, and can be appropriately increased or decreased.
(2) In the above-described embodiment, an example in which a stationary AI speaker 10A or a smartphone with a dedicated application installed is used as the AI speaker 10B as the AI speaker 10, but this is also an example. Any other terminal may be used as long as it functions as a speaker-type computer capable of output.
(3) The ID acquisition means 50A using the smart phone shown in the above-described embodiment and the fixed ID acquisition means 50B installed in various facilities are also examples, and are terminals such as a PC equipped with the ID acquisition means. There may be.

(4) The object 60, the inventory list 22, and the calendar information 23 shown in the above-described embodiment are also examples, and can be appropriately changed as necessary.
(5) The AI speaker 10 may be used by switching between a stationary type and a portable type, or only one of them may be used.
(6) The functional configuration of the system shown in the above-described embodiment is also an example, and the server 30 may have a part of the function of the AI speaker 10, or the part of the function of the server 30 may be the AI speaker 10. You may make it have.
(7) The voice input shown in the above-described embodiment is also an example, and can be appropriately changed within a range where the same effect is obtained.

(8) Machine learning using voice input indicating a user's answer (such as “forgotten” or “not forgotten”) to the voice notification (for example, “I have forgotten”) shown in the above embodiment as teacher data, You may make it perform feedback so that the precision of the notification (answer) by audio | voice may be raised.
(9) The present invention may be provided as a program executed by the server 30 or the AI speaker 10. This program may be provided in a state of being recorded on a computer-readable recording medium, or may be downloaded via the network 70. The present invention may also be provided as a method invention. Furthermore, the present invention may be provided as an invention of an AI speaker.

  In the above description, the data recognized by the software agent provided in the AI speaker 10 is transmitted to the server 30 to process the request. As another aspect, when the AI speaker 10 is not provided with a software agent, a request server is provided between the AI speaker 10 and the server 30, and the server receives data input from the AI speaker 10. However, it may be processed by converting it into a request and transmitting it to the server 30.

  According to the present invention, since information on an object is acquired from a server by voice input to an AI speaker, and the acquired information is output by voice from the AI speaker, the time and labor required for searching for an object can be reduced. It is suitable as a system for making answers about.

10, 10A, 10B: AI speaker 12: Request receiving means (voice input receiving means)
14: Object information request means 16: Object information acquisition means 18: Voice response means 20: Map data 22: Property list 22A: Time information 22B: Property information 23A: Calendar information 23B: Schedule information 23C: Property information 24: Schedule data 30 : Server 32: Object ID acquisition means 34: Reference means 36: Object information provision means 38: Object database 38A: Service ID
38B: User ID
38C: Product ID
38D: Object name 38E: Date of reception 38F: Reception time 38G: Location information 40: Map data 50, 50A, 50B: ID acquisition means 52: Object ID acquisition means 54: Object ID provision means 60: Object 62: Tag 64: Object ID
66: Transmission means 70: Network 80: User 100: Lost and found information voice reply system

Claims (4)

Lost and found information voice response system for voice response to AI speaker that can input and output voice,
A plurality of acquisition means for acquiring the object ID from a tag that transmits the object ID indicating the object ID;
Storage means for storing the acquired object ID, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired, in association with each other;
A reference unit that refers to time information and position information corresponding to the item ID of the item specified by voice recognition in response to a request regarding the item input by voice from the AI speaker;
An answering means for causing the AI speaker to answer the referred result by voice;
Equipped with a,
By registering the belongings list when the user goes out in advance,
In response to a request for a specific word input from an AI speaker,
The inventory list and the storage means are referred to,
When it is determined that there is a forgotten item based on the result of referring to each item registered in the item list,
Lost and Found Information voice reply system the result of the judgment, the answer means Ru is notified by voice to the AI speaker. When there are a plurality of time information and position information corresponding to the object ID,
The answer means, when lost and found information voice reply system according to claim 1 Symbol placement answering position information and the time information in the sequence. Lost and found information voice response method for answering lost items,
A plurality of acquisition means for acquiring the object ID from a tag that transmits an object ID indicating the ID of the object;
Storing the acquired object ID, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired, in association with each other;
Referring to time information and position information corresponding to an object ID of an object specified by voice recognition in response to a request regarding an object input by voice from an AI speaker capable of voice input / output;
Causing the AI speaker to answer the referred result by voice;
Equipped with a,
By registering the belongings list when the user goes out in advance,
In response to a request for a specific word input from an AI speaker,
The inventory list and the storage means are referred to,
When it is determined that there is a forgotten item based on the result of referring to each item registered in the item list,
The result of the judgment, the AI speaker lost item information voice answer how Ru is notified by voice. A program for causing an AI speaker capable of voice input / output to execute a lost property information voice response process for answering a lost item by voice,
A plurality of acquisition means for acquiring the object ID from a tag that transmits an object ID indicating the ID of the object;
Storing the acquired object ID, position information indicating the position where the object ID is acquired, and time information indicating the time when the object ID is acquired, in association with each other;
Referring to time information and position information corresponding to an object ID of an object specified by voice recognition in response to a request regarding an object input by voice from an AI speaker capable of voice input / output;
Causing the AI speaker to answer the referred result by voice;
Was executed,
By registering the belongings list when the user goes out in advance,
In response to a request for a specific word input from an AI speaker,
The inventory list and the storage means are referred to,
When it is determined that there is a forgotten item based on the result of referring to each item registered in the item list,
The result of the judgment, because the program is notified by voice to the AI speaker.