WO2022201756A1

WO2022201756A1 - Recommendation device, system, and method, and computer-readable medium

Info

Publication number: WO2022201756A1
Application number: PCT/JP2022/000851
Authority: WO
Inventors: ほなみ幸
Original assignee: 日本電気株式会社
Priority date: 2021-03-26
Filing date: 2022-01-13
Publication date: 2022-09-29
Also published as: JPWO2022201756A1

Abstract

The purpose of the present invention is to provide a driver of an automobile with appropriate information related to a destination to improve convenience for driving. A recommendation device (1) includes: an authentication control unit (11) that controls biological authentication for biological information acquired from a driver in a predetermined vehicle; an acquisition unit (12) that acquires traveling information of the vehicle during traveling of the vehicle; a determination unit (13) that determines first recommendation information related to a destination for the vehicle, on the basis of personal information pre-associated with the driver having succeeded in biological authentication and the traveling information acquired; and a display unit (14) that presents the first recommendation information determined to the driver.

Description

Recommendation device, system and method, and computer readable medium

The present invention relates to a recommendation device, system, method and program, and more particularly to a recommendation device, system, method and program for recommending recommendation information to a driver.

With the development of technology for in-vehicle devices of automobiles, it is now possible for the business operators to collect the driving information by transmitting the driving information acquired by the in-vehicle devices to the business operator's server via wireless communication.

Patent Document 1 discloses a technology related to a system for calculating insurance premiums for drivers. The in-vehicle communication device according to Patent Literature 1 collects acquired vehicle information, driver information, and the like, and transmits the acquired information to a driving information storage device using wireless communication. The driving information storage device transmits the received information to the insurance server device. The insurance server device calculates insurance premiums for the vehicle based on the received information.

JP 2015-071319 A

In recent years, with the spread of sharing cars, there are more opportunities for drivers to drive a variety of vehicles, not just private cars. Therefore, there is a demand for providing services suitable for drivers.

In view of the above-described problems, the purpose of the present disclosure is to provide a recommendation device, system, method, and program for improving the convenience of driving by providing appropriate information regarding the destination to the driver of the vehicle. to do.

A recommendation device according to a first aspect of the present disclosure includes:
an authentication control unit that controls biometric authentication for biometric information acquired from a driver in a predetermined vehicle;
an acquisition unit that acquires travel information of the vehicle while the vehicle is traveling;
a determination unit that determines first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation unit that presents the determined first recommendation information to the driver;
Prepare.

A recommendation system according to a second aspect of the present disclosure includes:
an in-vehicle device mounted in a predetermined vehicle;
a recommendation device;
The recommendation device is
an authentication control unit that controls biometric authentication for biometric information acquired from a driver in the vehicle via the in-vehicle device;
an acquisition unit that acquires travel information of the vehicle from the in-vehicle device while the vehicle is traveling;
a determination unit that determines first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation unit that presents the determined first recommendation information to the driver;
Prepare.

A recommendation method according to a third aspect of the present disclosure includes:
the computer
controlling biometric authentication for biometric information obtained from a driver in a given vehicle;
Acquiring running information of the vehicle while the vehicle is running;
Determining first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
The determined first recommendation information is presented to the driver.

A recommendation program according to the fourth aspect of the present disclosure includes:
Authentication control processing for controlling biometric authentication for biometric information acquired from a driver in a predetermined vehicle;
Acquisition processing for acquiring traveling information of the vehicle while the vehicle is traveling;
a determination process of determining first recommended information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation process of presenting the determined first recommendation information to the driver;
run on the computer.

According to the present disclosure, it is possible to provide a recommendation device, system, method, and program for improving the convenience of driving by providing appropriate information regarding the destination to the driver of the vehicle.

1 is a block diagram showing the configuration of a recommendation device according to the first embodiment; FIG. 4 is a flow chart showing the flow of a recommendation method according to the first embodiment; FIG. 11 is a block diagram showing the overall configuration of a recommendation system according to a second embodiment; FIG. FIG. 7 is a block diagram showing the configuration of an in-vehicle device according to a second embodiment; FIG. 11 is a block diagram showing the configuration of an authentication device according to the second embodiment; FIG. FIG. 11 is a block diagram showing the configuration of a recommendation device according to a second embodiment; FIG. 9 is a flowchart showing the flow of driver information registration processing according to the second embodiment. 9 is a flow chart showing the flow of face information registration processing by the authentication device according to the second embodiment; FIG. 12 is a sequence diagram showing the flow of registration processing at the start of running according to the second embodiment; 9 is a flow chart showing the flow of face authentication processing by the authentication device according to the second embodiment; FIG. 11 is a sequence diagram showing a flow of registration processing of travel information according to the second embodiment; 13 is a flowchart showing the flow of recommendation processing according to the second embodiment; FIG. 11 is a diagram showing a display example of recommendation information according to the second embodiment; FIG. 11 is a diagram showing a display example of recommendation information according to the second embodiment; FIG. 11 is a diagram showing a display example of recommendation information according to the second embodiment; FIG. 11 is a block diagram showing the overall configuration of a recommendation system according to a third embodiment; FIG. FIG. 11 is a block diagram showing the configuration of a recommendation device according to a third embodiment; FIG. FIG. 12 is a sequence diagram showing the flow of recommendation processing according to the third embodiment; FIG. 12 is a block diagram showing the overall configuration of a recommendation system according to a fourth embodiment; FIG. FIG. 22 is a sequence diagram showing the flow of recommendation processing according to the fourth embodiment;

Below, embodiments of the present disclosure will be described in detail with reference to the drawings. In each drawing, the same reference numerals are given to the same or corresponding elements, and redundant description will be omitted as necessary for clarity of description.

<Embodiment 1>
FIG. 1 is a block diagram showing the configuration of a recommendation device 1 according to the first embodiment. The recommendation device 1 is an information processing device for recommending information about a destination using a vehicle to a driver who drives a predetermined vehicle. Here, the recommendation device 1 is connected to a communication network (not shown, hereinafter the communication network is also simply referred to as a network). In particular, it is assumed that the recommendation device 1 is connected to an in-vehicle device mounted in the vehicle via a predetermined wireless communication network. Also, the recommendation device 1 may be connected to a portable user terminal possessed by the driver via a wireless communication network. Note that the network does not care about the type of communication protocol.

As a premise, it is assumed that the driver's biometric information and personal information are associated and registered in a predetermined storage device. The storage device is assumed to be built in the recommendation device 1 or connected to the recommendation device 1 . Alternatively, the storage device may be one that can be used by an authentication device connected to the recommendation device 1 . In addition, biometric information includes, for example, facial feature information that can be obtained from facial images, data calculated from physical features unique to individuals such as fingerprints, voiceprints, veins, retinas, and iris patterns (patterns) ( feature amount) can be used.

The recommendation device 1 includes an authentication control unit 11, an acquisition unit 12, a determination unit 13, and a presentation unit 14. The authentication control unit 11 controls biometric authentication for biometric information acquired from a driver in a predetermined vehicle. The authentication control unit 11 controls biometric authentication using the biometric information acquired from the driver in the vehicle-mounted device described above and the biometric information contained in the storage device described above. When the recommendation device 1 incorporates the above-described storage device, the authentication control unit 11 performs biometric authentication processing by collating biometric information. Alternatively, when biometric information is stored in an external storage device or an authentication device, the authentication control unit 11 causes the authentication device to perform biometric authentication processing and acquires an authentication result.

The acquisition unit 12 acquires the traveling information of the vehicle while the vehicle is traveling. Here, the running information means at least measured values (speed, position information, travel distance) measured by various sensors mounted on the vehicle, captured images (moving images) captured by a camera, etc. while the vehicle is running. It is part. Then, the acquisition unit 12 acquires the travel information from the in-vehicle device.

The determination unit 13 makes a first recommendation regarding a destination using the vehicle based on the personal information pre-associated with (the biometric information of) the driver whose biometric authentication has succeeded and the travel information acquired by the acquisition unit 12. Determine information. Here, the first recommendation information may be a destination to which the driver is headed by driving the vehicle, privilege information that can be used for payment at the destination, or information related to the destination. For example, the first recommendation information is a candidate for a parking place to take a break from driving, a candidate for a shopping place (destination) that is easily accessible by car, a coupon that can be used at a store at the destination, or the like. Alternatively, the first recommendation information may be advertisement information of a destination using a vehicle.

The presentation unit 14 presents the first recommendation information determined by the determination unit 13 to the driver. For example, the presentation unit 14 transmits the first recommendation information to the in-vehicle device or the driver's user terminal. Then, the in-vehicle device or the user terminal displays the received first recommendation information on the screen.

FIG. 2 is a flow chart showing the flow of the recommendation method according to the first embodiment. First, the authentication control unit 11 controls biometric authentication for biometric information acquired from a driver in a predetermined vehicle (S11). Next, the acquiring unit 12 acquires the traveling information of the vehicle while the vehicle is traveling (S12). Then, the determining unit 13 determines the first recommendation information regarding the destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the travel information acquired in step S12. (S13). Thereafter, the presentation unit 14 presents the determined first recommendation information to the driver (S14).

As described above, in this embodiment, biometric authentication is performed on the driver of a predetermined vehicle, and if the biometric authentication is successful, the driver can be associated with the vehicle. Therefore, it can be said that the travel information acquired after that while the vehicle is traveling indicates the characteristics of the travel when the driver drives the vehicle. In addition, as a premise, the driver's biometric information and personal information are registered in association with each other. Therefore, the recommendation device 1 determines the first recommendation information suitable for the driver based on the personal information of the driver whose biometric authentication has succeeded and the travel information acquired while the vehicle is traveling, and provides the first recommendation information to the driver. Present. At this time, since the first recommendation information is information regarding a destination using a vehicle that is currently running, it can be said that the information is highly convenient for the driver regarding the use of the vehicle. Therefore, by providing appropriate information regarding the destination to the driver of the vehicle, the convenience of driving can be improved.

The recommendation device 1 includes a processor, a memory, and a storage device (not shown). Further, the storage device stores a computer program in which the processing of the recommendation method according to the present embodiment is implemented. Then, the processor loads the computer program from the storage device into the memory and executes the computer program. Thereby, the processor implements the functions of the authentication control unit 11 , the acquisition unit 12 , the determination unit 13 and the presentation unit 14 .

Alternatively, the authentication control unit 11, the acquisition unit 12, the determination unit 13, and the presentation unit 14 may each be realized by dedicated hardware. Also, part or all of each component of each device may be implemented by general-purpose or dedicated circuitry, processors, etc., or combinations thereof. These may be composed of a single chip, or may be composed of multiple chips connected via a bus. A part or all of each component of each device may be implemented by a combination of the above-described circuits and the like and programs. As a processor, a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an FPGA (Field-Programmable Gate Array), a quantum processor (quantum computer control chip), or the like can be used.

Further, when some or all of the components of the recommendation device 1 are implemented by a plurality of information processing devices, circuits, etc., the plurality of information processing devices, circuits, etc. may be centrally arranged or distributed. may be placed. For example, the information processing device, circuits, and the like may be implemented as a form in which each is connected via a communication network, such as a client-server system, a cloud computing system, or the like. Also, the functions of the recommendation device 1 may be provided in a SaaS (Software as a Service) format.

<Embodiment 2>
The second embodiment is a specific example of the first embodiment described above. FIG. 3 is a block diagram showing the overall configuration of a recommendation system 1000 according to the second embodiment. The recommendation system 1000 is an information system for recommending information on destinations using the vehicle 100 and information on use of the vehicle 100 to the driver U of the vehicle 100 . The recommendation system 1000 includes a front camera 101 , a rear camera 102 , an in-camera 103 and an in-vehicle device 104 inside the vehicle 100 , a user terminal 400 possessed by the driver U, an authentication device 200 and a recommendation device 300 . The in-vehicle device 104, the user terminal 400, the authentication device 200, and the recommendation device 300 are connected via a network N, respectively. Here, the network N is a wired or wireless communication line such as the Internet. At least the in-vehicle device 104 and the user terminal 400 are connected to the network N via wireless communication lines.

In the following description, face authentication, which is an example of biometric authentication, is used as authentication for personal identification, and facial feature information, which is an example of biometric information, is used as personal identification information. However, biometric authentication and biometric information can be applied to other techniques that use captured images. For example, biometric information may be data (feature amounts) calculated from physical features unique to an individual, such as fingerprints, voiceprints, veins, retinas, and iris patterns. Further, authentication for personal identification may be other than biometric authentication, and personal identification information may be other than biometric information. Examples of personal identification information include, but are not limited to, a combination of an ID and a password, an electronic certificate, a two-dimensional code, and the like.

The recommendation system 1000 is used, for example, as follows. For example, first, the user terminal 400 registers the face image and personal information of the driver U in the recommendation device 300 . The vehicle 100 photographs the face of the driver U with the in-camera 103 when the driver U is seated in the driver's seat, and registers the photographed image and the vehicle ID in the recommendation device 300 . After that, the in-vehicle device 104 registers travel information acquired during travel of the vehicle 100 driven by the driver U in the recommendation device 300 at any time. The recommendation device 300 determines recommended information based on the personal information and travel information of the driver U when the travel information is registered (updated), at a predetermined timing, or when a predetermined condition is satisfied. to present recommendation information.

In the example of the recommendation system 1000, the vehicle 100 is assumed to be a rental vehicle such as a sharing car or rental car. However, the vehicle 100 of the recommendation system 1000 may be a private vehicle or a business vehicle. The vehicle 100 is equipped with the front camera 101, the rear camera 102, the in-camera 103, and the in-vehicle device 104, as described above. In-vehicle device 104 is connected to front camera 101 , rear camera 102 and in-camera 103 . The front camera 101 is an image capturing device that captures an image of the traveling direction (forward) of the vehicle 100 . The rear camera 102 is a photographing device that photographs the rear of the vehicle 100 . The front camera 101 and the rear camera 102 may be called out-cameras. The in-camera 103 is a photographing device that photographs the passenger space of the vehicle 100, particularly the vicinity of the driver's seat. The in-camera 103 is capable of photographing at least an area including the face of the driver U seated in the driver's seat. The in-vehicle device 104 is mounted on the vehicle 100 and includes an information processing device having a wireless communication function, such as an ECU (Electronic Control Unit). Also, the in-vehicle device 104 is an information processing device that constitutes a car navigation system, and may be capable of using a wireless communication function.

FIG. 4 is a block diagram showing the configuration of the in-vehicle device 104 according to the second embodiment. The in-vehicle device 104 includes a storage unit 110 , a memory 120 , a communication unit 130 , an input/output unit 140 and a control unit 150 . The storage unit 110 is a storage device including non-volatile memory such as flash memory and SSD (Solid State Drive). Storage unit 110 stores program 111 and vehicle ID 112 . The program 111 is a computer program in which processing for realizing each function of the in-vehicle device 104 is implemented. Vehicle ID 112 is identification information of vehicle 100 . Moreover, vehicle ID112 is an example of vehicle information.

The memory 120 is a volatile storage device such as a RAM (Random Access Memory), and is a storage area for temporarily holding information when the control unit 150 operates. The communication unit 130 is a communication interface with the network N. FIG. The input/output unit 140 includes a display device and an input device. The input/output unit 140 is, for example, a touch panel. It is assumed that the input/output unit 140 is installed at a position where it can be visually recognized and operated from the driver's seat. For example, the input/output unit 140 is a touch panel of a car navigation system. Note that the input/output unit 140 may be outside the in-vehicle device 104 . The control unit 150 is a processor that controls hardware of the in-vehicle device 104 . The control unit 150 loads the program 111 from the storage unit 110 into the memory 120 and executes it. Thereby, the control unit 150 implements the functions of the acquisition unit 151 , the registration unit 152 and the display control unit 153 .

The acquisition unit 151 acquires captured images (or moving images) captured by the front camera 101, the rear camera 102, and the in-camera 103. In particular, the acquisition unit 151 acquires the face image of the driver U captured by the in-camera 103 when the driver U is seated in the driver's seat. In addition, the acquisition unit 151 acquires captured images (or moving images) captured by the front camera 101 and the rear camera 102 while the vehicle 100 is running as part of the running information. In addition, the acquisition unit 151 acquires data measured from various sensors (not shown) in the vehicle 100 while the vehicle 100 is traveling as part of the traveling information. For example, the running information includes, but is not limited to, running speed, acceleration, strength or timing of braking, and running distance measured by various sensors. In addition, the vehicle 100 is assumed to include a position information acquisition device (not shown) that receives position information such as GPS (Global Positioning System) information. Therefore, the travel information may include position information of the vehicle 100 . The acquisition unit 151 may acquire personal information input by the driver U via the input/output unit 140 . In addition, it is assumed that the travel information includes the acquisition date and time.

The registration unit 152 sends a registration request at the start of driving including the face image of the driver U acquired by the acquisition unit 151 and the vehicle ID 112 stored in the storage unit 110 to the recommendation device 300 via the network N. Send. That is, the registration unit 152 registers the biological information of the driver U and the vehicle ID in the recommendation device 300 . Further, the registration unit 152 transmits the travel information acquired by the acquisition unit 151 while the vehicle 100 is traveling and a request for registering the travel information including the vehicle ID 112 to the recommendation device 300 via the network N. That is, the registration unit 152 registers in the recommendation device 300 the travel information in association with the previously registered biometric information of the driver U and the vehicle ID at any time. Note that the registration unit 152 may include the travel ID issued by the recommendation device 300 in the travel information registration request together with the travel information. Alternatively, the registration unit 152 may include the vehicle ID and the biological information (face image, etc.) of the driver U together with the travel information in the travel information registration request. Note that the registration unit 152 may transmit a driver information registration request including the personal information acquired by the acquisition unit 151 and the face image of the driver U to the recommendation device 300 via the network N. .

When the display control unit 153 receives recommendation information from the recommendation device 300 via the network N, the display control unit 153 displays the recommendation information on the input/output unit 140 .

Return to Figure 3 and continue the explanation. User terminal 400 is a portable information terminal that driver U possesses and operates. The user terminal 400 is, for example, an information processing device such as a mobile phone terminal, a smart phone, a tablet terminal, or a notebook computer with a camera. The user terminal 400 acquires the face image of the driver U captured by the built-in camera, and acquires the personal information input by the driver U. Note that the user terminal 400 may acquire the face image of the driver U from the outside. The user terminal 400 transmits a registration request including the face image and personal information of the driver U to the recommendation device 300 via the network N. FIG. Further, when the user terminal 400 receives the recommendation information from the recommendation device 300 via the network N, the user terminal 400 may display the recommendation information on the screen. The user terminal 400 may be used as a substitute for the above-described in-vehicle device 104 by running an application for a car navigation system. In that case, for example, the user terminal 400 acquires data measured by wireless communication from the front camera 101, the rear camera 102, the in-camera 103, and various sensors (not shown) in the vehicle 100 as part of the travel information. good too. The user terminal 400 then transmits the travel information to the recommendation device 300 . Note that the in-camera of the user terminal 400 may be used instead of the in-camera 103 .

The authentication device 200 is an information processing device that stores facial feature information of a predetermined person (user) such as the driver U. In addition, in response to a face authentication request received from the outside, the authentication device 200 compares the face image or face feature information included in the request with the face feature information of each user, and requests the result of matching (authentication result). Reply to original.

FIG. 5 is a block diagram showing the configuration of the authentication device 200 according to the second embodiment. The authentication device 200 includes a face information DB (DataBase) 210 , a face detection section 220 , a feature point extraction section 230 , a registration section 240 and an authentication section 250 . The face information DB 210 associates and stores a user ID 211 and face feature information 212 of the user ID. The facial feature information 212 is a set of feature points extracted from the facial image. Note that the authentication device 200 may delete the facial feature information 212 in the facial feature DB 210 at the request of the registered user of the facial feature information 212 . Alternatively, the authentication device 200 may delete the facial feature information 212 after a certain period of time has elapsed since the official registration.

The face detection unit 220 detects a face area included in a registered image for registering face information and outputs it to the feature point extraction unit 230 . The feature point extraction section 230 extracts feature points from the face area detected by the face detection section 220 and outputs facial feature information to the registration section 240 . The feature point extraction unit 230 also extracts feature points included in the face image received from the recommendation device 300 or the like, and outputs face feature information to the authentication unit 250 .

The registration unit 240 newly issues a user ID 211 when registering facial feature information. The registration unit 240 associates the issued user ID 211 with the facial feature information 212 extracted from the registered image and registers them in the facial information DB 210 . Authentication unit 250 performs face authentication using facial feature information 212 . Specifically, the authentication unit 250 collates the facial feature information extracted from the facial image with the facial feature information 212 in the facial information DB 210 . If the verification is successful, the authentication unit 250 identifies the user ID 211 associated with the verified facial feature information 212 . The authenticating unit 250 replies to the requester as a face authentication result indicating whether or not the facial feature information matches. Whether the facial feature information matches or not corresponds to the success or failure of the authentication. Note that matching of facial feature information (matching) means a case where the degree of matching is equal to or greater than a threshold. Also, the face authentication result shall include the specified user ID when the face authentication is successful.

Return to Figure 3 and continue the explanation. The recommendation device 300 is an example of the recommendation device 1 described above. The recommendation device 300 is an information processing device that performs driver information registration processing, driving start registration processing, driving information registration processing, recommendation processing, and the like (recommendation method processing). The recommendation device 300 may be made redundant by a plurality of servers, and each functional block may be implemented by a plurality of computers.

Next, the recommendation device 300 will be described in detail. FIG. 6 is a block diagram showing the configuration of the recommendation device 300 according to the second embodiment. The recommendation device 300 includes a storage unit 310 , a memory 320 , a communication unit 330 and a control unit 340 . The storage unit 310 is an example of a storage device such as a hard disk, flash memory, SSD, or the like. The storage unit 310 stores a program 311 , driver information 312 and a travel information DB 313 . A program 311 is a computer program in which the processing of the recommendation method according to the second embodiment is implemented.

The driver information 312 is information for managing the driver's personal information. Specifically, the driver information 312 is information in which a driver ID 3121 and personal information 3122 are associated with each other. The driver ID 3121 is identification information of the driver who is the user of the recommendation system 1000 . The driver ID 3121 is the same as the user ID 211 managed by the face information DB 210 described above, or information that can uniquely identify the user ID 211 . Therefore, biometric information (facial feature information 212 ) and personal information 3122 are associated via driver ID 3121 and user ID 211 . The personal information 3122 may include the driver's name, sex, date of birth, address, nationality, contact information, payment information, and the like. The driver's contact information may be a phone number, email address, application user ID, social network service account, and the like.

The travel information DB 313 is a database for managing travel information. The travel information DB 313 includes a plurality of entries 3131 to 313m (m is a natural number of 2 or more). The entry 3131 is information in which at least the vehicle ID 31311, the driver ID 31312, the traveling information 31313 and the traveling flag 31314 are associated with each other. The vehicle ID 31311 is vehicle identification information and corresponds to the vehicle ID 112 described above. The driver ID 31312 is driver identification information and corresponds to the driver ID 3121 described above. The travel information 31313 is the travel information received from the in-vehicle device 104 described above. A plurality of pieces of travel information 31313 may be associated with each set of vehicle ID 31311 and driver ID 31312 . The running flag 31314 is a flag indicating that the vehicle with the vehicle ID 31311 included in the entry 3131 is currently running. A running ID may be used instead of the running flag 31314 . Note that entries 3132 (not shown) to 313m have the same configuration as the entry 3131 .

The memory 320 is a volatile storage device such as RAM (Random Access Memory), and is a storage area for temporarily holding information when the control unit 340 operates. A communication unit 330 is a communication interface with the network N. FIG.

The control unit 340 is a processor that controls each component of the recommendation device 300, that is, a control device. The control unit 340 loads the program 311 from the storage unit 310 into the memory 320 and executes the program 311 . Thereby, the control unit 340 implements the functions of an acquisition unit 341 , a registration unit 342 , an authentication control unit 343 , a determination unit 344 , a determination unit 345 and a presentation unit 346 .

The acquisition unit 341 is an example of the acquisition unit 12 described above. The acquisition unit 341 acquires a registration request for driver information from the user terminal 400, the in-vehicle device 104, or the like via the network N. FIG. Note that the acquisition unit 341 may acquire the driver information registration request from a terminal installed at the rental location of the sharing car or a terminal at the sales office of the rental car. The driver information registration request includes the driver U's face image and personal information.

Also, the acquisition unit 341 acquires a registration request at the start of travel from the in-vehicle device 104 via the network N. The registration request at the start of travel includes the face image of the driver U and the vehicle ID 112 of the vehicle 100 . That is, the acquisition unit 341 acquires the vehicle information (vehicle ID) of the vehicle 100 together with the biological information (face image) of the driver U by the time the vehicle 100 starts running.

Also, the acquisition unit 341 acquires a travel information registration request from the in-vehicle device 104 via the network N. The travel information registration request includes the travel information and the vehicle ID 112 . That is, the acquisition unit 341 acquires the vehicle information together with the traveling information while the vehicle 100 is traveling.

The registration unit 342 registers the driver information 312 in response to the driver information registration request. Specifically, the registration unit 342 transmits a face information registration request including the face image included in the registration request to the authentication device 200, and receives the user ID issued at the time of registration. Then, the registration unit 342 registers the received user ID as the driver ID 3121 in the driver information 312 in association with the personal information 3122 included in the registration request. That is, the registration unit 342 registers the biometric information of a predetermined person and the personal information of the person in advance in association with each other via the user ID.

Also, the registration unit 342 registers a new entry in the travel information DB 313 in response to a registration request at the start of travel. Specifically, the registration unit 342 sets the user ID notified from the later-described authentication control unit 343 as the driver ID 31312 . Then, the registration unit 342 associates the vehicle ID 31311, the driver ID 31312, and the running flag 31314 with the flag turned ON, which are included in the registration request, and registers them as an entry 3131 in the travel information DB 313 . Alternatively, the registration unit 342 may issue a travel ID in response to a registration request at the start of travel and register it in the entry instead of the running flag. Further, the registration unit 342 may notify the in-vehicle device 104 of the issued travel ID. Alternatively, if the entry specified by the combination of the vehicle ID 31311 and the driver ID 31312 has already been registered in the travel information DB 313, the registration unit 342 may update the running flag 31314 of the entry from OFF to ON.

That is, when biometric authentication, which will be described later, is successful, the registration unit 342 associates and registers the personal information and the vehicle information associated in advance with the driver who has successfully passed the biometric authentication. For example, the registration unit 342 registers the personal information 3122 in the driver information 312 and the vehicle ID 31311 in the travel information DB 313 via the driver ID of the driver whose biometric authentication has succeeded.

In addition, the registration unit 342 additionally registers the travel information in the target entry in the travel information DB 313 in response to the travel information registration request. That is, the registration unit 342 associates and registers the acquired travel information and vehicle information. Specifically, the registration unit 342 identifies, from the travel information DB 313, an entry 3131 in which the traveling flag 31314 is ON and which includes the vehicle ID 31311 included in the registration request as an additional registration target. Then, the registration unit 342 additionally registers the identified entry 3131 in association with the travel information 31313 included in the registration request. As a result, travel information is accumulated at any time with respect to entries of pairs of vehicle IDs and driver IDs for which the traveling flag is ON. For example, when a request for registration of travel information is received every five minutes while the vehicle X is running under the driving of the driver A, the registration unit 342 registers the vehicle X and the driver A each time the registration request is received. Travel information is associated with the entry and registered. In other words, a plurality of pieces of travel information can be registered in the entries for vehicle X and driver A. FIG. Further, when the travel information indicates that the vehicle is parked or stopped, the registration unit 342 updates the travel flag of the entry to OFF.

Here, each entry in the travel information DB 313 can be uniquely identified by a combination of the vehicle ID and the driver ID. Therefore, the entry XA identified by the combination of the vehicle X and the driver A is registered due to the driver A driving a certain vehicle X at a certain time, and the same vehicle X was later driven by another driver B. Thus, an entry XB identified by a combination of vehicle X and driver B can be registered. That is, there may be multiple entries for a particular vehicle ID. However, since the driving information registration request does not include the driver ID or the driver's biological information, it is not possible to specify whether the entry to which the driving information should be added is XA or XB. Therefore, in this embodiment, as an example, each entry is provided with a running flag. Only one driver can drive a particular vehicle X at a time. Therefore, for example, when requesting registration at the start of driving, the registration unit 342 sets the driving flag for the entry XA of the pair of the driver A (driver ID) and the vehicle X (vehicle ID) for which biometric authentication has succeeded. Turn ON. On the other hand, at this time point, the running flag of the entry XB of the pair of the driver B and the vehicle X remains OFF (when the vehicle was parked or stopped last time (or when the vehicle was returned)). Therefore, if the vehicle ID is included in the travel information registration request, the registration unit 342 can uniquely identify an entry that includes the vehicle ID and whose running flag is ON. In addition, by using the running flag, it is possible to identify the person while running without performing biometric authentication using a photographed face image, thereby speeding up the process of registering the running information. Also, if the running flag is not used, it is necessary to take a face image and perform biometric authentication while running. However, if it is difficult to perform biometric authentication by photographing the face each time, the running flag can be used to accurately identify the entry for which the travel information is to be registered without using biometric authentication. Therefore, even when the travel information registration request includes a face image, the running flag may be used.

The authentication control unit 343 is an example of the authentication control unit 11 described above. Authentication control unit 343 transmits a face authentication request including the face image included in the registration request at the start of running to authentication device 200, and receives the result of face authentication. Note that the authentication control unit 343 may detect the user's face area from the face image and include the image of the face area in the face authentication request. Alternatively, the authentication control unit 343 may extract facial feature information from the face area and include the facial feature information in the face authentication request. The authentication control unit 343 determines success or failure of face authentication based on the received result of face authentication. When determining that the face authentication has succeeded, the authentication control unit 343 acquires the user ID included in the face authentication result, and notifies the registration unit 342 of the user ID.

When a predetermined condition is satisfied, the determination unit 344 determines whether or not the entry whose running flag is ON satisfies the recommendation condition. The determination unit 344 determines that the recommendation condition is satisfied, for example, in any one of the following cases (1) to (7). Recommendation condition (1) is when travel information is registered or updated by the registration unit 342 . The recommended condition (2) is when the vehicle 100 is parked. Recommendation condition (3) is when a regular timing arrives. Moreover, the recommendation condition (4) is when the vehicle 100 is returned when the vehicle 100 is a sharing car or a rental car. Also, the recommendation condition (5) is a case where the travel distance in the travel information of a given entry is equal to or greater than a given distance. Moreover, the recommendation condition (6) is a case where the travel time in the travel information of a predetermined entry is equal to or longer than a predetermined time. Moreover, the recommendation condition (7) is a case where a predetermined vehicle passes through a predetermined point set on the map.

The determination unit 345 is an example of the determination unit 13 described above. The determination unit 345 determines recommendation information when the determination unit 344 determines that the recommendation condition is satisfied. Specifically, the determination unit 345 acquires the travel information included in the entry for registration or update of the travel information. For example, the determination unit 345 acquires one or more pieces of travel information of an entry identified by a set of a vehicle ID and a driver ID whose running flag is ON in the travel information DB 313 . Then, the determination unit 345 acquires the personal information 3122 associated with the driver ID 3121 in the entry from the driver information 312 . Then, the determining unit 345 determines recommended information based on the acquired personal information 3122 and travel information. In other words, the determination unit 345 determines recommended information based on personal information and travel information associated with vehicle information. Thereby, the determination unit 345 can determine appropriate recommendation information based on the driving information currently being driven.

When two or more pieces of travel information are included in the identified entry, the determination unit 345 identifies two or more pieces of vehicle information associated with the personal information previously associated with the driver whose biometric authentication has succeeded. . Here, "the entry contains two or more pieces of travel information" indicates that the entry identified by vehicle X and driver A, for example, is associated with travel information of different dates and times. Then, the determining unit 345 collects two or more pieces of travel information associated with any one of the two or more identified pieces of vehicle information. Then, the determining unit 345 determines recommended information based on the personal information and the two or more pieces of collected travel information. In other words, when past travel information is included in the identified entry, the determining unit 345 collects past travel information by the driver who has successfully passed biometric authentication, and further adds the collected past travel information to the , to determine the recommendation information. This makes it possible to determine appropriate recommendation information for the driver based on a comprehensive judgment that takes into account the driving information of the current driving as well as the driving information of the past driving.

Also, the determination unit 345 may acquire multiple pieces of travel information from multiple entries of a specific driver ID in the travel information DB 313 . In this case, the determination unit 345 collects travel information acquired when the driver who has successfully passed biometric authentication drives another vehicle, and further considers the collected travel information to determine recommendation information. As a result, it is possible to determine recommended information suitable for the driver based on a comprehensive judgment that takes into consideration not only the vehicle that the driver is currently driving, but also the driving information that the driver has driven in the past.

Also, the determining unit 345 may determine the recommended information based on at least one of the age included in the personal information, and the distance traveled and the waypoint of the vehicle included in the travel information. The determination unit 345 may also determine recommendation information including privilege information that can be used at the destination. Further, the determination unit 345 may determine the recommendation information including candidate locations for parking and stopping of the vehicle 100 as destinations.

Further, when the vehicle 100 is a rental vehicle, the determining unit 345 selects second recommendation information including privilege information that can be used when using the vehicle rental service from the next time onward, based on the personal information and the travel information. may decide. This encourages the use of rental vehicles.

Note that the determination unit 345 may determine recommendation information using a predetermined model (processing logic). Specifically, the model may input personal information and travel information, select recommended information from a plurality of recommended information candidates (not shown), and output the selected recommended information. . A known technique such as an AI (Artificial Intelligence) model can be applied to the model.

The presentation unit 346 is an example of the presentation unit 14 described above. The presentation unit 346 transmits the (first or second) recommendation information determined by the determination unit 345 to the in-vehicle device 104 or the driver's U user terminal 400 . Note that the presentation unit 346 may specify the destination information of the in-vehicle device 104 based on the vehicle ID or the like. In addition, the presentation unit 346 may specify the user terminal 400 based on the driver U's contact information (e.g., e-mail address, etc.) included in the personal information 3122 .

It should be noted that, when the travel information and the travel ID are included in the travel information registration request, the registration unit 342 can uniquely identify the entry corresponding to the travel ID and additionally register the travel information in the entry. Alternatively, the travel information registration request may include a set of the vehicle ID and the driver ID together with the travel information. Also in this case, the registration unit 342 can uniquely identify the entry corresponding to the combination of the vehicle ID and the driver ID, and additionally register the travel information in the entry. Alternatively, the travel information registration request may include a set of the vehicle ID and the driver's biometric information together with the travel information. In this case, the authentication control unit 343 performs biometric authentication on the biometric information each time a request for registration of travel information is made to specify the driver ID. It is possible to additionally register travel information in the entry.

FIG. 7 is a flowchart showing the flow of driver information registration processing according to the second embodiment. For example, it is assumed that the driver U uses the user terminal 400 to register his or her own face image and personal information in the recommendation device 300 before using the vehicle 100 . In this case, the user terminal 400 sends a face image of the face of the driver U and a driver information registration request including the personal information input by the driver U to the recommendation device 300 via the network N. Send. When using a sharing car, the driver U may register driver information using a predetermined terminal near the parking place of the sharing car. Alternatively, when using a rental car, the driver U may register the driver information using a terminal at the sales office of the rental car. Alternatively, the driver U may enter the vehicle 100 and register the driver information when sitting in the driver's seat. In either case, the terminal or in-vehicle device 104 transmits the driver information registration request to the recommendation device 300 via the network N. FIG.

Therefore, the acquisition unit 341 of the recommendation device 300 acquires a registration request for driver information including the face image and personal information of the driver U from the user terminal 400 or the like via the network N (S101). Next, the registration unit 342 transmits a face information registration request including the face image included in the registration request to the authentication device 200 via the network N (S102).

FIG. 8 is a flow chart showing the flow of face information registration processing by the authentication device according to the second embodiment. Here, the information registration terminal (not shown) photographs the user's body including the face, and transmits a face information registration request including the photographed image (registered image) to the authentication device 200 via the network N. The information registration terminal is, for example, an information processing device such as a personal computer, a smart phone, or a tablet terminal. For example, the information registration terminal may be the user terminal 400 or the like. Here, it is assumed that the information registration terminal is the recommendation device 300 that has received a registration request from the user terminal 400 or the like.

First, the authentication device 200 receives a face information registration request (S201). For example, the authentication device 200 receives a face information registration request via the network N from the recommendation device 300 . Next, the face detection unit 220 detects a face area from the face image included in the face information registration request (S202). Then, the feature point extraction unit 230 extracts feature points (facial feature information) from the face area detected in step S202 (S203). Then, the registration unit 240 issues the user ID 211 (S204). Then, the registration unit 240 associates the extracted facial feature information 212 with the issued user ID 211 and registers them in the facial information DB 210 (S205). After that, the registration unit 240 returns the issued user ID 211 to the request source (the information registration terminal, for example, the recommendation device 300) (S206).

Return to Fig. 7 and continue the explanation. The registration unit 342 of the recommendation device 300 acquires the user ID issued at the time of registration from the authentication device 200 via the network N (S103). Then, the registration unit 342 associates the received user ID (driver ID 3121) with the personal information 3122 included in the registration request, and registers the driver information 312 in the storage unit 310 (S104).

FIG. 9 is a sequence diagram showing the flow of registration processing at the start of running according to the second embodiment. First, the driver U sits in the driver's seat of the vehicle 100 and starts the engine. At this time, the in-camera 103 photographs the face of the driver U (S111). Then, the acquisition unit 151 of the in-vehicle device 104 acquires the face image captured by the in-camera 103 . Acquisition unit 151 also acquires vehicle ID 112 from storage unit 110 . Then, the registration unit 152 transmits a registration request at the start of running including the face image and the vehicle ID 112 to the recommendation device 300 via the network N (S112).

In response to this, the acquisition unit 341 of the recommendation device 300 acquires the registration request at the start of travel from the in-vehicle device 104 via the network N. Then, the authentication control unit 343 transmits a face authentication request including the face image included in the registration request at the start of running to the authentication device 200 via the network N (S113).

FIG. 10 is a flow chart showing the flow of face authentication processing by the authentication device according to the second embodiment. First, the authentication device 200 receives a face authentication request from the recommendation device 300 via the network N (S211). Next, the authentication device 200 extracts facial feature information from the face image included in the face authentication request, similarly to steps S202 and S203 described above. Then, the authentication unit 250 of the authentication device 200 collates the facial feature information extracted from the face image included in the face authentication request with the facial feature information 212 of the face information DB 210 (S212), and calculates the matching degree. Then, the authentication unit 250 determines whether or not the degree of matching is equal to or greater than the threshold (S213). If the facial feature information matches, that is, if the degree of matching of the facial feature information is equal to or greater than the threshold, the authentication unit 250 identifies the user ID 211 associated with the facial feature information 212 (S214). Then, the authentication unit 250 returns the result of the face authentication including the result of the successful face authentication and the identified user ID 211 to the recommendation device 300 via the network N (S215). If the degree of matching is less than the threshold in step S213, the authenticating unit 250 returns the face authentication result including the failure of the face authentication to the recommendation device 300 via the network N (S216).

Return to Fig. 9 and continue the explanation. Authentication control unit 343 receives the result of face authentication from authentication device 200 via network N. FIG. Then, the authentication control unit 343 determines whether or not the face authentication is successful based on the result of the face authentication. If the face authentication fails, the recommendation device 300 may reply to that effect to the in-vehicle device 104 that made the request. Here, it is assumed that the face authentication is successful. Therefore, the authentication control unit 343 acquires the user ID included in the face authentication result, and notifies the registration unit 342 of the user ID.

Then, the registration unit 342 sets the user ID notified from the authentication control unit 343 as the driver ID 31312 . Then, the vehicle ID 31311, the driver ID 31312, and the running flag 31314 with the flag turned ON, which are included in the registration request, are associated with each other and registered as an entry 3131 in the running information DB 313 (S116).

FIG. 11 is a sequence diagram showing the flow of travel information registration processing according to the second embodiment. First, the driver U starts driving the vehicle 100 . That is, vehicle 100 starts running. The front camera 101, the rear camera 102, and the in-camera 103 take pictures while the vehicle 100 is running. The in-vehicle device 104 acquires travel information while the vehicle 100 is traveling (S121). For example, the acquisition unit 151 acquires captured images (or moving images) from the front camera 101, the rear camera 102, and the in-camera 103 while the vehicle 100 is running. The acquisition unit 151 also acquires travel speed, acceleration, braking strength or timing, travel distance, position information, and the like measured by various sensors. Note that the position information may be information indicating a waypoint of the vehicle 100, a place where the vehicle 100 stopped, or an attribute of the place. For example, the location information may be information indicating the attribute of the location where the vehicle is parked or stopped, such as a convenience store or a parking lot. Then, the registration unit 152 transmits a request for registration of the travel information including the acquired travel information and the vehicle ID 112 to the recommendation device 300 via the network N (S122). Note that the in-vehicle device 104 may acquire an image of the driver captured by the in-camera 103 while the vehicle 100 is running, and transmit the request for registration of the driving information including the captured image of the driver.

In response, the acquisition unit 341 of the recommendation device 300 acquires a travel information registration request from the in-vehicle device 104 via the network N. The registration unit 342 acquires the travel information and the vehicle ID from the travel information registration request. Then, the registration unit 342 registers the driving information 31313 in association with the acquired vehicle ID 31311 among the entries whose driving flag 31314 is ON from the driving information DB 313 (S123). In addition, when the driving information registration request includes a photographed image of the driver, the authentication control unit 343 controls face authentication for the photographed image, identifies the driver ID for which the face authentication is successful, and determines the vehicle ID and the driver ID. entries may be identified from the set of In that case, the registration unit 342 registers the specified entry in association with the travel information 31313 .

FIG. 12 is a flowchart showing the flow of recommendation processing according to the second embodiment. First, the determination unit 344 of the recommendation device 300 determines whether each entry in the travel information DB 313 satisfies any of the above-described recommendation conditions (S131). For example, when the travel information is registered or updated by the registration unit 342, the determination unit 344 determines that the registered or updated entry satisfies the recommendation condition (1). Further, when notified from the in-vehicle device 104 that the vehicle 100 is parked or stopped, the determination unit 344 sets the recommendation condition (2) for the entry whose running flag is ON among the entries including the vehicle ID of the vehicle 100. It is determined that the conditions are satisfied. Alternatively, when a regular timing arrives, the determination unit 344 determines that each entry in the travel information DB 313 satisfies the recommendation condition (3). Alternatively, if the vehicle 100 is a rental vehicle and is notified from a terminal or the like at the sales office that it has been returned, the determination unit 344 sets the recommendation condition for the entry including the vehicle ID of the vehicle 100 and the driver ID of the driver U. It is determined that (4) is satisfied. Alternatively, if the travel distance in the updated travel information is equal to or greater than the predetermined distance, the determination unit 344 determines that the entry satisfies the recommendation condition (5). Alternatively, if the travel time in the updated travel information is equal to or longer than the predetermined time, the determination unit 344 determines that the entry satisfies the recommendation condition (6). Alternatively, if the current position passes through the predetermined point in the updated travel information, the determination unit 344 determines that the entry satisfies the recommendation condition (7). If it is determined in step S131 that the recommendation condition is not satisfied, the recommendation device 300 does not recommend the entry and ends the process.

On the other hand, if it is determined in step S131 that the recommendation condition is satisfied, the determination unit 345 determines one or more pieces of travel information of the entry identified by the combination of the vehicle ID and the driver ID whose running flag is ON in the travel information DB 313 . to get Then, the determination unit 345 acquires the personal information 3122 associated with the driver ID 3121 in the entry from the driver information 312 (S132). Then, the determination unit 345 determines recommended information based on the acquired personal information 3122 and the acquired travel information 31313 (in the entry) (S133).

Here, the determination unit 345 may determine, as recommendation information, a message recommending “take a break” to the driver U according to the age included in the personal information and the travel distance or travel time included in the travel information. good. For example, when the driver U is 60 years old or older and the (continuous) running time is one hour or longer, the determination unit 345 determines that the driver U should take a break as the recommendation information. If the driver U is between the ages of 18 and 60 and the (continuous) running time is two hours or longer, the determination unit 345 determines that the driver U should take a break as the recommendation information.

Further, the determining unit 345 may determine different resting places as recommended information according to the age and gender of the driver U. For example, if the driver U is male, the resting place may be a ramen shop, and if the driver U is female, the resting place may be a cafe. In this case, the determining unit 345 may determine a more nearby place as the resting place based on the current position information and traveling direction included in the travel information.

Further, the determining unit 345 determines, as recommended information, a parking lot, a suburban shopping mall, a gas station, a parking area on a highway, a service area, etc., as a destination using the vehicle 100 (where the vehicle 100 is driven). You may These destinations are places that can be easily reached by using the vehicle 100 that is currently being driven, and thus can be said to be highly convenient recommendations for the driver U. Further, this promotes the use of the vehicle 100 . In addition, when the destination of the car navigation system of the vehicle 100 is set, the recommendation device 300 acquires the destination from the in-vehicle device 104 by including it in the travel information, A place may be determined as recommendation information. The determination unit 345 may also determine, as recommended information, a parking lot that is larger than usual, an empty parking lot, or a parking lot that is easier to enter than usual as the destination using the vehicle 100 .

Also, the determination unit 345 may determine privilege information (discount coupons, etc.) that can be used at a destination using the vehicle 100 as recommended information. For example, if a discount coupon that can be used at the destination shopping mall or service area is recommended, it can be said that convenience for the driver U is high. Furthermore, the determination unit 345 may determine the destination and the privilege information available at the destination together as the recommendation information.

Further, when the use of the vehicle 100 ends, for example, when the vehicle 100 is parked, the determination unit 345 recommends privilege information available at the location specified based on the current position information included in the traveling information. information may be determined. Alternatively, when the vehicle 100 is a rental vehicle and the driver U returns the vehicle 100, the determination unit 345 may determine the privilege information as the recommendation information.

Also, the determining unit 345 may determine privilege information corresponding to personal information and travel information as recommended information. For example, when the travel distance is longer than a predetermined value, the determination unit 345 may determine a coupon with a larger discount rate or discount amount than usual for the driver U as the recommended information. In particular, when the vehicle 100 is a rental vehicle and the travel distance when the driver U returns the vehicle 100 is longer than a predetermined value, the determining unit 345 gives the driver U a larger discount rate or discount amount than usual. Coupons may be determined as recommended information.

After step S133, the presentation unit 346 identifies the contact included in the personal information acquired in step S132. The contact information is information that can be notified to the user terminal 400 of the driver U, such as an e-mail address that the user terminal 400 can receive, a login ID of an application installed in the user terminal 400, or the like. Then, the presentation unit 346 transmits the recommended information determined by the determination unit 345 to the user terminal 400 of the driver U via the network N using the specified contact (S134). At this time, the recommendation information preferably includes information related to the use of the vehicle 100, particularly position information, address, store name, etc. of the recommended destination. Also, the recommendation information may include a message to recommend to the driver U. Also, the recommendation information preferably includes privilege information.

In response, the user terminal 400 receives the recommendation information from the recommendation device 300 via the network N and displays the recommendation information on the screen. Note that the presentation unit 346 may set the destination (presentation destination) of the recommendation information to the in-vehicle device 104 instead of the user terminal 400 . In that case, the presentation unit 346 identifies the contact of the in-vehicle device 104 based on the vehicle ID in the entry determined to satisfy the recommendation condition in step S131. The contact information of the in-vehicle device 104 may be, for example, address information, an application ID, or the like. Further, when the vehicle 100 is a rental vehicle, the presentation unit 346 may specify a terminal installed at a parking place of a sharing car or a terminal at a rental car sales office as a contact. For example, the in-vehicle device 104 may be a car navigation system (so-called "car navigation system"). In that case, the in-vehicle device 104 may display the received recommendation information on the screen of the car navigation system. The in-vehicle device 104 may set the destination candidate included in the received recommendation information as the destination of the car navigation system, and display the route from the current location to the destination and the estimated time of arrival on the screen of the car navigation system.

FIG. 13 is a diagram showing a display example of recommendation information according to the second embodiment. The recommended information display screen 51 is recommended when a shop at a resting place near the current position and privilege information available at the shop are recommended based on the age and driving time of the driver U while the vehicle 100 is running. An example of information display is shown. The recommended information display screen 51 includes a current vehicle position 511 , resting place candidates 512 , a recommended message 513 , a privilege information message 514 and coupon information 515 . A vehicle current position 511 indicates the current position of the vehicle 100 on the map. The resting place candidate 512 indicates the position on the map of the recommended place of the destination by using the vehicle 100 as recommended information. The recommendation message 513 is a display example of a message such as prompting the driver U to take a break, proposing a resting place, and a reason for prompting the driver to take a break. In this example, the recommendation message 513 is, but not limited to, "Two hours have passed since you started running. Why don't you take a break at store XX?" The privilege guide message 514 is a display example of a message that recommends privilege information included in the recommendation information. In this example, the privilege information message 514 shows the message "You can get a discount coupon for store XX now!", but it is not limited to this. Coupon information 515 is a display example of privilege information included in the recommendation information. In this example, the coupon information 515 indicates a link to the coupon information "1 free cup of coffee for store XX", but the contents and data format of the coupon are not limited to this.

FIG. 14 is a diagram showing a display example of recommendation information according to the second embodiment. The recommended information display screen 51a is recommended when privilege information that can be used at the store is recommended based on the current position, etc. of the personal information and driving information of the driver U when the vehicle 100 is parked at the store XX. An example of information display is shown. The recommended information display screen 51 a includes a current vehicle position 511 a , resting place candidates 512 , a recommended message 513 a , a privilege information message 514 and coupon information 515 . Note that the description of the configuration similar to that of FIG. 13 is omitted. The current vehicle position 511a indicates the current position of the vehicle 100 on the map. Here, the vehicle current position 511 a indicates that it is near the resting place candidate 512 . The recommendation message 513a indicates, but is not limited to, "You have arrived at store XX. Why don't you take a break at store XX?"

FIG. 15 is a diagram showing a display example of recommendation information according to the second embodiment. The recommended information display screen 51b displays a coupon that will be discounted when the sharing car is used next time based on the personal information and driving information of the driver U when the sharing car is returned (after the vehicle 100 is parked). 4 shows an example of display of recommendation information when is recommended. The recommended information display screen 51 b includes a privilege guide message 516 and coupon information 517 . The privilege information message 516 is a display example of a message that recommends privilege information included in the recommendation information. In this example, the privilege information message 514 indicates, but is not limited to, "Thank you for using our sharing car this time. We have issued a discount coupon for your next use." Coupon information 517 is a display example of privilege information included in the recommendation information. In this example, the coupon information 517 indicates a link to the coupon information "30% discount coupon for sharing car", but the content and data format of the coupon are not limited to this. For example, the recommendation device 300 may determine a coupon with a larger discount rate or discount amount than usual as the recommendation information when the travel distance in the travel information of the vehicle 100 of the driver U is longer than a predetermined value. In addition, the recommendation device 300 is not limited to the driving information of the current use of the vehicle 100 by the driver U, but also the past driving information of the driver U and the driving information when the driver U uses another vehicle. The discount rate, discount amount, or the like may be determined and recommended. In addition, the recommendation device 300 considers the past driving information of the driver U and the driving information when the driver U used another vehicle, and determines the next recommended vehicle type as recommendation information (for example, a coupon). You may For example, the recommendation device 300 may determine the recommended vehicle type to be an SUV (Sport Utility Vehicle) if the travel distance is longer than a predetermined value, and a compact car if the travel distance is shorter than the predetermined value.

In this way, in this embodiment, the information recommended to the driver is not limited to the information about the destination using the vehicle in motion, and can include various information. For example, it is possible to recommend a place (destination) that is easy to go to by using the vehicle that is currently being driven, and privilege information that can be used at the destination. Therefore, it is possible to improve the convenience of the driver's use of the vehicle and promote purchase at the destination. In addition, since the recommended information is determined in consideration of the driver's personal information and travel information, it can be suitable for the characteristics of the driver. The recommended information is also presented when the vehicle is parked or stopped or when the rental vehicle is returned, and appropriate information can be recommended according to the time, location, and travel information. In addition, it is possible to recommend recommendation information that is more suitable for the driver by taking into consideration not only the driving information of the vehicle currently being driven, but also the driving information of the past driving and the driving information of other vehicles.

In particular, in the case of a shared car, the same vehicle can be used by a plurality of different drivers. Collection can be done accurately. In the case of a rental car, the same driver can use a plurality of different vehicles. Recommended information suitable for the driver can be determined.

It should be noted that the recommendation device may determine the recommended information according to the driving skill of the driver. That is, the acquisition unit acquires an image captured while the vehicle is running, the determination unit analyzes the image to specify the driving skill information of the driver, further considers the driving skill information, and obtains the first may be determined. Accordingly, it is possible to determine recommended information suitable for the driver after grasping the tendency of the driver to drive the vehicle.

Furthermore, the determining unit may determine a preferential treatment according to the driving skill information, and determine the first recommendation information including privilege information according to the preferential treatment. For example, the recommendation device may issue (determine) and recommend a coupon with a large discount rate or discount amount for a rental car to a driver who is less likely to be distracted, start suddenly, or stop abruptly. Also, if the driver has a high tendency to drive safely based on the driving technique information, the recommendation device may issue (determine) a coupon with a high discount rate or discount amount that can be used at the rest area and recommend the driver.

Although the recommendation device 300 according to the present embodiment internally manages the personal information 3122, the personal information may be managed on the authentication device 200 side. For example, the face information DB 210 of the authentication device 200 may store the user ID 211 and the face feature information 212 in association with personal information of the user. Then, in step S132 of the recommendation process, recommendation device 300 transmits the driver ID (user ID) to be recommended to authentication device 200, and acquires personal information associated with the user ID from authentication device 200. good.

It should be noted that the determining unit according to the present embodiment may determine the recommended information by taking into consideration the information of fellow passengers in addition to the driver's personal information. In this case, first, the recommendation device 300 registers the driver information including the information of the fellow passenger in the personal information of the driver. The information of the fellow passenger includes, for example, the face image of the fellow passenger, the family structure, and the tendency of the family to go out frequently. Also, when renting a car, the recommendation device 300 may register the personal information of the driver and fellow passengers as the driver information. Then, when the driver and fellow passenger get on the vehicle, it is assumed that the photographed image taken by the in-camera 103 or the like includes the face image of the driver as well as the fellow passenger. Then, the in-vehicle device 104 transmits a registration request at the start of traveling including the face image of the fellow passenger. Then, the recommendation device 300 performs face authentication for each face image included in the registration request, and identifies users who have successfully performed face authentication as the driver and fellow passengers. For example, the recommendation device 300 may associate an entry with a fellow passenger ID in addition to the vehicle ID and the driver ID. Thereafter, while the vehicle is running, parked, or stopped, the recommendation device 300 may determine recommended information based on the current running information, the driver's personal information, and the fellow passenger's information. It should be noted that there is no need to perform face authentication for fellow passengers. For example, the recommendation device 300 may estimate the number of passengers and attributes of the passengers (age, gender, etc.) from images captured by the in-camera 103 or the like, and register the estimated information as driver information. For example, if the user is a man in his 40s, and the recommendation device 300 detects a woman and two children of the same age, the recommendation device 300 may estimate those four people as a family member.

<Embodiment 3>
Embodiment 3 is another example of Embodiment 2 described above. The third embodiment discloses travel information and the like accumulated in the recommendation device to an external service provider. FIG. 16 is a block diagram showing the overall configuration of a recommendation system 1000a according to the third embodiment. 3, the recommendation system 1000a has the recommendation device 300 replaced with the recommendation device 300a and an external server 600 added. Note that there may be two or more external servers 600 . Since other configurations are the same as those in FIG. 3, illustration and detailed description of overlapping contents are omitted.

The external server 600 is an information processing device connected to the network N, and is a computer server operated by a predetermined service provider. Examples of service providers include, but are not limited to, convenience stores, gas stations, shopping centers, parking areas, service areas, and the like. The service provider may operate a store or the like at the destination using the vehicle described above.

The external server 600 receives disclosure information including personal information and driving information of a predetermined driver from the recommendation device 300a. The external server 600 determines recommended information candidates based on the received disclosure information using a predetermined logic, and returns the determined recommended information candidates via the network N to the recommendation device 300a. It should be noted that the above-described AI model or the like may be used for the predetermined logic. Also, the external server 600 may transmit payment information for the usage fee of the disclosed information to the recommendation device 300a via the network N. FIG.

FIG. 17 is a block diagram showing the configuration of the recommendation device 300a according to the third embodiment. The recommendation device 300a has a program 311a, an acquisition unit 341a, and a determination unit 345a that are changed, and a disclosure unit 347 is added, as compared with FIG. Since other configurations are the same as those in FIG. 6, detailed descriptions of overlapping contents will be omitted.

The program 311a is a computer program in which the processing of the recommendation method according to the third embodiment is implemented.

The disclosure unit 347 discloses disclosure information including personal information and driving information of the driver U to the external server 600 . For example, the disclosure unit 347 transmits disclosure information to the external server 600 via the network N. FIG. Alternatively, the disclosure unit 347 may transmit the disclosure information to the external server 600 via the network N when a predetermined condition is satisfied in response to access to the disclosure information from the external server 600 . Furthermore, it is desirable that the disclosure unit 347 disclose the disclosed information, excluding some of the personal information, to the external server. For example, the disclosure unit 347 hides the name of the personal information of the driver U, and includes the gender and age in the disclosure information.

The acquisition unit 341a acquires from the external server 600 recommended information candidates corresponding to the disclosed information. The determining unit 345a determines recommended information based on the recommended information candidates. This increases the variety of recommended information, making it possible to recommend information that is more suitable for the driver. Furthermore, the acquisition unit 341a may acquire payment information for the usage fee of the disclosed information from an external server. In other words, the operator of recommendation device 300a may obtain a fee associated with disclosure of disclosure information from a service provider.

FIG. 18 is a sequence diagram showing the flow of recommendation processing according to the third embodiment. As a premise, it is assumed that a predetermined entry satisfies the recommendation condition in step S131 of FIG. 12 described above. At this time, the disclosure unit 347 generates disclosure information (S301). Specifically, the disclosure unit 347 acquires the travel information from the corresponding entry. The disclosure unit 347 also acquires the personal information 3122 associated with the driver ID 31312 (driver ID 3121) in the entry. Then, the disclosure unit 347 excludes part of the information from the acquired personal information as described above. Then, the disclosure unit 347 generates disclosure information including the personal information after exclusion and the acquired travel information.

Then, the disclosure unit 347 transmits the disclosure information to the external server 600 via the network N (S302). In response, the external server 600 determines recommended information candidates using a predetermined logic based on the received disclosure information (S303). The external server 600 may display the received disclosure information on a screen or the like, and the person in charge of the service provider may determine the recommended information candidates based on the disclosure information. In this case, external server 600 receives recommended information candidates from the person in charge. After that, the external server 600 transmits the determined recommendation information candidates to the recommendation device 300a via the network N (S304).

In response, the acquisition unit 341a of the recommendation device 300a acquires recommendation information candidates from the external server 600 via the network N. Then, the determining unit 345a determines recommended information based on the recommended information candidates (S305). For example, the determining unit 345a may determine the recommended information in consideration of the recommended information candidates in addition to the personal information and the travel information. Alternatively, the determining unit 345a may determine the recommended information candidate as the recommended information. After that, the presentation unit 346 transmits the determined recommendation information to the user terminal 400 via the network N (S306).

Note that the acquisition unit 341a may acquire a plurality of recommended information candidates from the external server 600. In that case, the determining unit 345a may select one or more recommended information candidates from among the plurality of recommended information candidates based on a predetermined selection criterion, and determine them as recommended information. Alternatively, if there are a plurality of external servers (service providers), the disclosure unit 347 transmits disclosure information to each external server. At this time, the acquisition unit 341a may acquire a plurality of recommended information candidates from each external server.

As described above, in the third embodiment, by disclosing the travel information and the like accumulated in the recommendation device to an external service provider, it is possible to acquire recommended information candidates from the service provider and use them for determining recommended information. can. Therefore, it is possible to recommend a service that takes advantage of the business type of the service provider, and it is possible to further improve convenience for the driver. Also, service providers can analyze the disclosed information and use it to develop better products and services. Note that the service provider may use the disclosed information to independently recommend (present) products and services to the driver.

<Embodiment 4>
Embodiment 4 is another example of Embodiment 2 described above. The fourth embodiment makes a recommendation using the driver's driver's license information. FIG. 19 is a block diagram showing the overall configuration of a recommendation system 100b according to the fourth embodiment. A recommendation system 1000b is obtained by replacing the recommendation device 300 with the recommendation device 300b and adding a driver's license information management system 700 as compared with FIG. Since other configurations are the same as those in FIG. 3, illustration and detailed description of overlapping contents are omitted.

The driver's license information management system 700 is an information system operated by public institutions such as the National Police Agency. The driver's license information management system 700 includes a driver's license information DB 70 for managing information (driver's license information) on driver's licenses. The driver's license information DB 70 is a database that manages information in which the driver's license ID 701, personal information 702, face image 703, violation history 704, expiration date 705, and excellent driver flag 706 are associated with each other. The driver's license ID 701 is the identification information of the driver's license, and is the ID of the person qualified for the driver's license. For example, driver's license ID 701 is the driver's license number. The personal information 702 is personal information of a qualified person for a driver's license. Personal information 702 includes, for example, name, address, date of birth, and the like. The face image 703 is an image such as a photograph of the face of a person qualified for a driver's license. The face image 703 may be face photo data on a driver's license. The violation history 704 is history information of traffic violations of a driver's license holder. The expiration date 705 is the expiration date of the driver's license. The excellent driver flag 706 is a flag indicating that the qualified driver is an excellent driver. Information managed by the driver's license information DB 70 is merely an example.

In the recommendation process, the recommendation device 300b acquires the driver's license information of the relevant driver, and further considers the driver's license information to determine the recommendation information. For example, the acquisition unit of the recommendation device 300b acquires the driving history information based on the driver's license corresponding to the driver whose biometric authentication was successful. Then, the determination unit of the recommendation device 300b further considers the driving history information to determine the recommendation information.

FIG. 20 is a sequence diagram showing the flow of recommendation processing according to the fourth embodiment. As a premise, it is assumed that a predetermined entry satisfies the recommendation condition in step S131 of FIG. 12 described above. At this time, the recommendation device 300b acquires the driver ID 31312 in the corresponding entry, and acquires facial feature information (or a face image) corresponding to the driver ID from the authentication device 200. FIG. Then, the recommendation device 300b transmits an acquisition request for driving history information including the acquired facial feature information to the driver's license information management system 700 via the network N (S401). The driver's license information management system 700 collates the face feature information included in the received acquisition request with the face image 703 in the driver's license information DB 70, and identifies the driver's license ID 701 whose degree of matching is equal to or greater than the threshold. Driver's license information management system 700 identifies violation history 704 and good driver flag 706 associated with identified driver's license ID 701 as driving history information (S402). Then, the driver's license information management system 700 transmits the acquired driving history information to the recommendation device 300b via the network N (S403).

In response, the recommendation device 300b receives the driving history information from the driver's license information management system 700 via the network N. Then, the recommendation device 300b determines recommendation information based on the driver's personal information, driving information, and driving history information corresponding to the entry (S404). For example, the recommendation device 300b may determine recommendation information by restricting or excluding the issuance of privilege information when the number of violations is equal to or greater than a predetermined number of times or a predetermined number of points based on the violation history 704 . Alternatively, the recommendation device 300b may include a warning message to the effect that there are many violations in the recommendation information when the number of violations is a predetermined number of times or a predetermined number of points or more. Alternatively, the recommendation device 300b may determine, in the recommendation information, a coupon with a higher discount rate or discount amount for the driver (excellent driver) for whom the excellent driver flag 706 is ON. Then, the recommendation device 300b transmits the determined recommendation information to the user terminal 400 (S405).

In addition, in FIG. 20, the driver is identified by face authentication by the driver's license information management system 700 side, but it is not limited to this. For example, the recommendation device 300b may include the personal information associated with the driver ID in the entry in the driving history information acquisition request and transmit the driving history information acquisition request to the driver's license information management system 700 . In this case, the driver's license information management system 700 identifies the driver's license ID 701 by matching the personal information included in the acquisition request with the personal information 702 in the driver's license information DB 70 . Alternatively, if the personal information 3122 in the driver information 312 includes a driver's license ID or a photographed image of a driver's license, the recommendation device 300b acquires the driver's license ID or the photographed image of the driver's license. It may be included in the request and transmitted to the driver's license information management system 700 . In this case, the driver's license information management system 700 identifies the driver's license ID 701 based on the driver's license ID included in the acquisition request or the captured image of the driver's license.

In addition, the terminal installed at the rental location of the sharing car and the terminal at the sales office of the rental car inspect the user (who wants to drive) at the time of renting the vehicle 100, and charge the usage fee according to the inspection result. It may be calculated or a usage restriction may be applied. For example, the terminal transmits an examination request including the user's biometric information and personal identification information to the recommendation device 300b via the network N. FIG. Here, the driver's ID such as my number may be used as the personal identification information. This is because the face image is registered in the My Number, the face image is specified using the My Number, and the personal identification process can be performed by face authentication. The recommendation device 300b transmits an inspection request to the driver's license information management system 700 using the information included in the received inspection request. The driver's license information management system 700 identifies a violation history 704, an expiration date 705, and a good driver flag 706 in the driver's license information management system 700 from biometric information and personal identification information included in the inspection request. Then, driver's license information management system 700 returns the identified information to recommendation device 300b. Based on the received information, the recommendation device 300b determines the degree of violation of the user, whether the driver's license is within the expiration date, whether the user is a good driver, etc., as the inspection result. Then, the recommendation device 300b returns the test result to the terminal. The terminal calculates the usage fee of the vehicle for the user and restricts the usage of the vehicle according to the received inspection result. Alternatively, the recommendation device 300b may calculate the vehicle usage fee for the user. For example, when the degree of violation is higher than a threshold, the recommendation device 300b may calculate a usage fee higher than usual. Also, the recommendation device 300b may calculate the usage fee for a good driver lower than usual. In these cases, the recommendation device 300b transmits the calculated usage fee to the terminal. Alternatively, when the driver's license has expired, recommendation device 300b may transmit a usage restriction instruction to the terminal.

<Other embodiments>
Note that when the request of the user is blank, the recommendation device 300 or the like recommends an event or the like with a high level of satisfaction (evaluation information) of other users with similar attributes (for example, residents living within a certain range). may

In the second to fourth embodiments described above, the

recommendation device

300, 300a or 300b and the authentication device 200 are separate information processing devices, but they may be the same. For example, the recommendation device 300 or the like may register facial feature information in association with the driver ID 3121 or the like of the driver information 312 . In that case, the control unit 340 may include the face detection unit 220, the feature point extraction unit 230, the registration unit 240, and the authentication unit 250 shown in FIG.

Alternatively, at least one of the driver information 312 and the travel information DB 313 may be stored in an external storage device connected to the authentication device 200, the recommendation device 300, or the like.

In addition, in the above-described embodiment, the hardware configuration has been described, but the configuration is not limited to this. The present disclosure can also implement arbitrary processing by causing a CPU to execute a computer program.

In the above example, the program can be stored and supplied to the computer using various types of non-transitory computer readable media. Non-transitory computer readable media include various types of tangible storage media. Examples of non-transitory computer-readable media include magnetic recording media (e.g., flexible discs, magnetic tapes, hard disk drives), magneto-optical recording media (e.g., magneto-optical discs), CD-ROMs (Read Only Memory), CD-Rs, Includes CD-R/W, DVD (Digital Versatile Disc), semiconductor memory (eg, mask ROM, PROM (Programmable ROM), EPROM (Erasable PROM), flash ROM, RAM (Random Access Memory)). The program may also be delivered to the computer on various types of transitory computer readable medium. Examples of transitory computer-readable media include electrical signals, optical signals, and electromagnetic waves. Transitory computer-readable media can deliver the program to the computer via wired channels, such as wires and optical fibers, or wireless channels.

It should be noted that the present disclosure is not limited to the above embodiments, and can be modified as appropriate without departing from the scope. In addition, the present disclosure may be implemented by appropriately combining each embodiment.

Some or all of the above embodiments may also be described in the following additional remarks, but are not limited to the following.
(Appendix A1)
an authentication control unit that controls biometric authentication for biometric information acquired from a driver in a predetermined vehicle;
an acquisition unit that acquires travel information of the vehicle while the vehicle is traveling;
a determination unit that determines first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation unit that presents the determined first recommendation information to the driver;
recommendation device.
(Appendix A2)
The determination unit determines the first recommendation information based on at least one of the age included in the personal information and the distance traveled and the waypoint of the vehicle included in the travel information. recommended equipment.
(Appendix A3)
The recommendation device according to appendix A2, wherein the determination unit determines the first recommendation information including privilege information available at the destination.
(Appendix A4)
The determination unit determines the first recommendation information including a candidate location for parking and stopping of the vehicle as the destination,
The recommendation device according to any one of Appendixes A1 to A3, wherein the presentation unit presents the determined first recommendation information to the driver while the vehicle is running.
(Appendix A5)
The recommendation device according to any one of Appendixes A1 to A4, wherein the vehicle is a rental vehicle.
(Appendix A6)
The determination unit determines second recommendation information including privilege information that can be used when the vehicle rental service is used from the next time on, based on the personal information and the travel information,
The recommendation device according to Appendix A5, wherein the presentation unit presents the determined second recommendation information to the driver when the vehicle is returned.
(Appendix A7)
The acquisition unit acquires driving history information based on a driver's license corresponding to the driver who has successfully passed the biometric authentication,
The recommendation device according to any one of appendices A1 to A6, wherein the determination unit further considers the driving history information to determine the first recommendation information.
(Appendix A8)
The acquisition unit acquires an image captured while the vehicle is running,
The determining unit analyzes the image to specify the driving technique information of the driver, and determines the first recommendation information by further considering the driving technique information. The recommended device described in .
(Appendix A9)
The recommendation device according to appendix A8, wherein the determining unit determines a preferential treatment according to the driving skill information, and determines the first recommendation information including privilege information according to the preferential treatment.
(Appendix A10)
The recommendation device according to any one of Appendixes A1 to A9, further comprising a disclosure unit that discloses disclosure information including the personal information and the travel information of the driver to an external server.
(Appendix A11)
The recommendation device according to appendix A10, wherein the disclosure unit discloses the disclosure information from which part of the personal information is excluded to the external server.
(Appendix A12)
The acquisition unit acquires recommended information candidates corresponding to the disclosed information from the external server,
The recommendation device according to appendix A10 or A11, wherein the determination unit determines the first recommendation information based on the recommendation information candidate.
(Appendix A13)
The recommendation device according to any one of appendices A10 to A12, wherein the acquisition unit acquires payment information for a usage fee of the disclosure information from the external server.
(Appendix A14)
further comprising a registration unit for pre-associating and registering the biometric information of a predetermined person and the personal information of the person;
The acquisition unit acquires vehicle information of the vehicle together with the biological information of the driver by the time the vehicle starts running;
When the biometric authentication is successful, the registration unit associates and registers the personal information previously associated with the driver who has succeeded in the biometric authentication and the vehicle information,
The acquisition unit acquires the vehicle information together with the traveling information while the vehicle is traveling;
The registration unit associates and registers the acquired travel information and vehicle information,
The recommendation device according to any one of Appendixes A1 to A13, wherein the determination unit determines the first recommendation information based on the personal information and the travel information associated with the vehicle information.
(Appendix A15)
The decision unit
Identifying two or more pieces of vehicle information associated with personal information pre-associated with a driver who has successfully passed biometric authentication;
collecting two or more pieces of travel information associated with one of the two or more pieces of vehicle information identified;
The recommendation device according to appendix A14, wherein the first recommendation information is determined based on the personal information and the collected two or more pieces of travel information.
(Appendix A16)
The decision unit
Collecting past driving information by the driver who succeeded in the biometric authentication,
The recommendation device according to any one of appendices A1 to A15, wherein the first recommendation information is determined by further considering the collected past travel information.
(Appendix A17)
The decision unit
collecting driving information obtained when the driver who has successfully passed the biometric authentication drives another vehicle;
The recommendation device according to any one of appendices A1 to A16, wherein the first recommendation information is determined by further considering the collected travel information.
(Appendix B1)
an in-vehicle device mounted in a predetermined vehicle;
a recommendation device;
The recommendation device is
an authentication control unit that controls biometric authentication for biometric information acquired from a driver in the vehicle via the in-vehicle device;
an acquisition unit that acquires travel information of the vehicle from the in-vehicle device while the vehicle is traveling;
a determination unit that determines first recommendation information regarding a destination using the vehicle based on personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation unit that presents the determined first recommendation information to the driver;
Recommendation system with
(Appendix B2)
The determination unit determines the first recommendation information based on at least one of the age included in the personal information and the distance traveled and the waypoint of the vehicle included in the travel information. recommendation system.
(Appendix C1)
the computer
controlling biometric authentication for biometric information obtained from a driver in a given vehicle;
Acquiring running information of the vehicle while the vehicle is running;
Determining first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
presenting the determined first recommendation information to the driver;
Recommendation method.
(Appendix D1)
Authentication control processing for controlling biometric authentication for biometric information acquired from a driver in a predetermined vehicle;
Acquisition processing for acquiring traveling information of the vehicle while the vehicle is traveling;
a determination process of determining first recommended information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation process of presenting the determined first recommendation information to the driver;
A recommended program that causes a computer to run

Although the present invention has been described with reference to the embodiments (and examples), the present invention is not limited to the above-described embodiments (and examples). Various changes that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention.

This application claims priority based on Japanese Patent Application No. 2021-054278 filed on March 26, 2021, and the entire disclosure thereof is incorporated herein.

1 recommendation device 11 authentication control unit 12 acquisition unit 13 determination unit 14 presentation unit 1000 recommendation system 1000a recommendation system 1000b recommendation system U driver N network 100 vehicle 101 front camera 102 rear camera 103 in-camera 104 in-vehicle device 110 storage unit 111 program 112 vehicle identification
120 memory 130 communication unit 140 input/output unit 150 control unit 151 acquisition unit 152 registration unit 153 display control unit 200 authentication device 210 face information DB
211 User ID
212 facial feature information 220 face detection unit 230 feature point extraction unit 240 registration unit 250 authentication unit 300 recommendation device 300a recommendation device 300b recommendation device 310 storage unit 311 program 311a program 312 driver information 3121 driver ID
3122 Personal information 313 Driving information DB
3131 Entry 31311 Vehicle ID
31312 Driver ID
31313 travel information 31314 running flag 320 memory 330 communication unit 340 control unit 341 acquisition unit 341a acquisition unit 342 registration unit 343 authentication control unit 344 determination unit 345 determination unit 345a determination unit 346 presentation unit 347 disclosure unit 400 user terminal 51 recommendation information display Screen 511 Vehicle current position 512 Resting place candidate 513 Recommendation message 514 Benefit guidance message 515 Coupon information 51a Recommendation information display screen 511a Vehicle current position 513a Recommendation message 51b Recommendation information display screen 516 Benefit guidance message 517 Coupon information 600 External server 700 Driver's license information Management system 70 Driver's license information DB
701 driver's license ID
702 Personal information 703 Face image 704 Violation history 705 Expiration date 706 Excellent driver flag

Claims

authentication control means for controlling biometric authentication of biometric information obtained from a driver in a predetermined vehicle;
Acquisition means for acquiring traveling information of the vehicle while the vehicle is traveling;
determining means for determining first recommended information regarding a destination using the vehicle based on personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
presenting means for presenting the determined first recommendation information to the driver;
recommendation device.
2. The method according to claim 1, wherein the determining means determines the first recommendation information based on at least one of the age included in the personal information and the distance traveled and the waypoint of the vehicle included in the travel information. Recommended device as described.
3. The recommendation device according to claim 2, wherein said determination means determines said first recommendation information including privilege information available at said destination.
The determining means determines the first recommendation information including candidate locations for parking and stopping of the vehicle as the destination,
4. The recommendation device according to any one of claims 1 to 3, wherein said presentation means presents said determined first recommendation information to said driver while said vehicle is running.
The recommendation device according to any one of claims 1 to 4, wherein the vehicle is a rental vehicle.
The determination means determines second recommendation information including privilege information that can be used when the vehicle rental service is used from the next time on, based on the personal information and the travel information,
The recommendation device according to claim 5, wherein the presentation means presents the determined second recommendation information to the driver when the vehicle is returned.
The acquiring means acquires driving history information based on a driver's license corresponding to the driver who has successfully passed the biometric authentication,
The recommendation device according to any one of claims 1 to 6, wherein the determination means further considers the driving history information to determine the first recommendation information.
The acquisition means acquires an image captured while the vehicle is running,
8. The determining means determines the first recommendation information by analyzing the image, identifying the driving technique information of the driver, and further considering the driving technique information. Recommended device according to paragraph.
9. The recommendation device according to claim 8, wherein said determining means determines a degree of preferential treatment according to said driving technique information, and determines said first recommendation information including privilege information according to said degree of preferential treatment.
The recommendation device according to any one of claims 1 to 9, further comprising disclosure means for disclosing disclosure information including the personal information and the travel information of the driver to an external server.
11. The recommendation device according to claim 10, wherein said disclosure means discloses said disclosure information excluding part of said personal information to said external server.
the acquiring means acquires from the external server recommended information candidates corresponding to the disclosed information;
The recommendation device according to claim 10 or 11, wherein the determination means determines the first recommendation information based on the recommendation information candidate.
13. The recommendation device according to any one of claims 10 to 12, wherein said acquisition means acquires payment information for a usage fee of said disclosed information from said external server.
further comprising registration means for pre-associating and registering the biometric information of a predetermined person and the personal information of the person;
The acquisition means acquires vehicle information of the vehicle together with the biological information of the driver by the time the vehicle starts running;
When the biometric authentication is successful, the registration means associates and registers personal information pre-associated with the driver who has succeeded in biometric authentication and the vehicle information,
The acquiring means acquires the vehicle information together with the traveling information while the vehicle is traveling;
The registration means associates and registers the acquired travel information and vehicle information,
The recommendation device according to any one of claims 1 to 13, wherein the determination means determines the first recommendation information based on the personal information and the travel information associated with the vehicle information.
The determining means is
Identifying two or more pieces of vehicle information associated with personal information pre-associated with a driver who has successfully passed biometric authentication;
collecting two or more pieces of travel information associated with one of the two or more pieces of vehicle information identified;
The recommendation device according to claim 14, wherein the first recommendation information is determined based on the personal information and the collected two or more pieces of travel information.
The determining means is
Collecting past driving information by the driver who succeeded in the biometric authentication,
16. The recommendation device according to any one of claims 1 to 15, wherein the first recommendation information is determined by further considering the collected past travel information.
The determining means is
collecting driving information obtained when the driver who has successfully passed the biometric authentication drives another vehicle;
17. The recommendation device according to any one of claims 1 to 16, wherein the first recommendation information is determined by further considering the collected travel information.
an in-vehicle device mounted in a predetermined vehicle;
a recommendation device;
The recommendation device is
authentication control means for controlling biometric authentication of biometric information acquired from a driver in the vehicle via the in-vehicle device;
Acquisition means for acquiring traveling information of the vehicle from the in-vehicle device while the vehicle is traveling;
determining means for determining first recommended information regarding a destination using the vehicle based on personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
presenting means for presenting the determined first recommendation information to the driver;
Recommendation system with
19. The determining means determines the first recommendation information based on at least one of the age included in the personal information and the distance traveled and waypoints of the vehicle included in the travel information. Described recommendation system.
the computer
controlling biometric authentication for biometric information obtained from a driver in a given vehicle;
Acquiring running information of the vehicle while the vehicle is running;
Determining first recommendation information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
presenting the determined first recommendation information to the driver;
Recommendation method.
Authentication control processing for controlling biometric authentication for biometric information acquired from a driver in a predetermined vehicle;
Acquisition processing for acquiring traveling information of the vehicle while the vehicle is traveling;
a determination process of determining first recommended information regarding a destination using the vehicle based on the personal information pre-associated with the driver whose biometric authentication has succeeded and the acquired travel information;
a presentation process of presenting the determined first recommendation information to the driver;
A non-transitory computer-readable medium storing a recommended program that causes a computer to execute