# US 2023/0410568 A1 · Determination system, server, determination method, and non-transitory computer readable medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0410568 A1 - Document ID: US20230410568A1 - Status: Published application - Kind: A1 - Application number: 18/037,948 - Filed: 2020-11-25 - Published: 2023-12-21 - Earliest claimed: 2020-11-25 - Assignees: NEC Corporation - Applicants: NEC Corporation - Inventors: Masahiro Yamanouchi - Web page: https://patentgrep.com/patent/US20230410568A1 ## CPC - G07C 5/0808: {Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005)} - G01M 17/007: Wheeled or endless-tracked vehicles (G01M17/08 takes precedence) - G07B 15/02: taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems (G07B15/06 takes precedence; taximeters G07B13/00; parking meters per se G07F17/24) - G07C 5/008: {communicating information to a remotely located station (transmission systems for measured values G08C)} - G07C 5/0816: {Indicating performance data, e.g. occurrence of a malfunction} - G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE - G01M: TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR - G07B: TICKET-ISSUING APPARATUS; FARE-REGISTERING APPARATUS; FRANKING APPARATUS ## Abstract An object is to provide a determination system, a server, a determination method, and a non-transitory computer readable medium that allow appropriate determination of a defective part of a vehicle. A determination system (1) according to the present disclosure includes: a server (40); a travel data transmission apparatus (10) configured to acquire travel data indicating a state of a vehicle during traveling and transmit the travel data to the server (40); and a parking data transmission apparatus (11) configured to acquire parking data indicating a state of the vehicle during parking and transmits the parking data to the server (40). The server (40) includes: a reception unit (41) configured to receive the travel data and parking data; and a determination unit (42) configured to determine a defective part of the vehicle on the basis of the received travel data and the received parking data. ## Claims ### Claim 1 A determination system comprising: a server; a travel data transmission apparatus configured to acquire travel data indicating a state of a vehicle during traveling and transmit the travel data to the server; and a parking data transmission apparatus configured to acquire parking data indicating a state of the vehicle during parking and transmits the parking data to the server, the server including: at least one memory storing instructions, and at least one processor configured to execute the instructions to: receive the travel data and the parking data; and determine a defective part of the vehicle on a basis of the received travel data and the received parking data. ### Claim 2 (depends on 1) The determination system according to claim 1, wherein the travel data includes at least one of telematics information indicating a traveling state of the vehicle, an exterior image of the vehicle during traveling, and sound information of a sound emitted by the vehicle during traveling. ### Claim 3 (depends on 1) The determination system according to claim 1, wherein the parking data includes at least one of an exterior image of the vehicle during parking and sound information of a sound emitted by the vehicle during parking. ### Claim 4 (depends on 1) The determination system according to claim 1, wherein at least one of the travel data or parking data further includes an underfloor image of the vehicle, and the at least one processor is further configured to execute the instructions to detect an abnormality in the vehicle using the underfloor image, and determine the defective part on a basis of the abnormality and the travel data. ### Claim 5 (depends on 1) The determination system according to claim 1, wherein the at least one processor is further configured to execute the instructions to determine the defective part using a learned model that has learned to determine a defect in the vehicle on a basis of at least one of the travel data and the parking data. ### Claim 6 A server comprising: at least one memory storing instructions, and at least one processor configured to execute the instructions to: receive travel data indicating a state of a vehicle during traveling from a travel data transmission apparatus and parking data indicating a state of the vehicle during parking from a parking data transmission apparatus; and determine a defective part of the vehicle on a basis of the received travel data and the received parking data. ### Claim 7 (depends on 6) The server according to claim 6, wherein the travel data includes at least one of telematics information indicating a traveling state of the vehicle, an exterior image of the vehicle during traveling, and sound information of a sound emitted by the vehicle during traveling. ### Claim 8 A determination method comprising: receiving travel data indicating a state of a vehicle during traveling from a travel data transmission apparatus and parking data indicating a state of the vehicle during parking from a parking data transmission apparatus; and determining a defective part of the vehicle on a basis of the received travel data and the received parking data. ### Claim 9 (canceled) ### Claim 10 (depends on 6) The server according to claim 6, wherein the parking data includes at least one of an exterior image of the vehicle during parking and sound information of a sound emitted by the vehicle during parking. ### Claim 11 (depends on 6) The server according to claim 6, wherein at least one of the travel data or parking data further includes an underfloor image of the vehicle, and the at least one processor is further configured to execute the instructions to detect an abnormality in the vehicle using the underfloor image, and determine the defective part on a basis of the abnormality and the travel data. ### Claim 12 (depends on 6) The server according to claim 6, wherein the at least one processor is further configured to execute the instructions to determine the defective part using a learned model that has learned to determine a defect in the vehicle on a basis of at least one of the travel data and the parking data. ### Claim 13 (depends on 8) The determination method according to claim 8, wherein the travel data includes at least one of telematics information indicating a traveling state of the vehicle, an exterior image of the vehicle during traveling, and sound information of a sound emitted by the vehicle during traveling. ### Claim 14 (depends on 8) The determination method according to claim 8, wherein the parking data includes at least one of an exterior image of the vehicle during parking and sound information of a sound emitted by the vehicle during parking. ### Claim 15 (depends on 8) The determination method according to claim 8, wherein at least one of the travel data or parking data further includes an underfloor image of the vehicle, and determining the defective part of the vehicle comprises detecting an abnormality in the vehicle using the underfloor image, and determining the defective part on a basis of the abnormality and the travel data. ### Claim 16 (depends on 8) The determination method according to claim 8, wherein determining the defective part of the vehicle comprises determining the defective part using a learned model that has learned to determine a defect in the vehicle on a basis of at least one of the travel data and the parking data.