# US 11,907,965 B2 · Information processing device, information processing method, and non-transitory storage medium > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,907,965 B2 - Document ID: US11907965B2 - Status: Granted - Kind: B2 - Application number: 17/846,718 - Filed: 2022-06-22 - Published: 2023-01-12 - Granted: 2024-02-20 - Earliest claimed: 2021-07-06 - Assignees: Toyota Jidosha Kabushiki Kaisha - Applicants: Toyota Jidosha Kabushiki Kaisha - Inventors: Yukinori Il; Kenji Yamaguchi; Junya Ogawa; Yuki Naganuma; Junya Yamamoto; Yuta Tone; Naoki Ishizuka; Tadayuki Tanaka; Keisuke Ito; Yuka Yokoi; Takashi Hayashi; Naoya Oka; Yu Hamada - Web page: https://patentgrep.com/patent/US11907965B2 ## CPC - G06Q 30/0208: Trade or exchange of goods or services in exchange for incentives or rewards - G06Q 30/0283: Price estimation or determination - G06Q 30/0207: Discounts or incentives, e.g. coupons or rebates - G06Q 30/0645: Rental transactions; Leasing transactions - G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083) - Y02P 90/30: Computing systems specially adapted for manufacturing - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - Y02P: CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS ## Abstract An information processing device includes a processor configured to provide an incentive to a first user who sells or returns a first vehicle in which a part of a first coating film including an easily peelable layer does not peeled off. ## Claims ### Claim 1 An information processing system comprising: a device configured to use image processing with a deep learning method or a device configured to optically detect a reflectance; and a processor programmed to: acquire coating information on a first coating film including a non-peeled area ratio and a degree of degradation, the first coating film forming a peelable layer on an exterior of a vehicle that covers an original paint layer, the non-peeled area ratio being a ratio of an area of the first coating film that is not peeled off from the vehicle to an area of the first coating film that is initially applied to the vehicle, the degree of degradation of the first coating film being determined by the device configured to use image processing with the deep learning method or the device configured to optically detect the reflectance, calculate, based on the non-peeled area ratio and the degree of degradation, an incentive to be provided to a first user who sells or returns the vehicle, such that the higher the non-peeled area ratio, the greater the incentive, and the smaller the degree of degradation, the greater the incentive, and cause a first terminal device to display the incentive, wherein the first terminal device is an in-store terminal that is used by an employee of a store that buys and sells used vehicles, and wherein the processor is programmed to send, to a second terminal device, a request to remove the first coating film when a decision is made to sell or lease the vehicle to a second user. ### Claim 2 (depends on 1) The information processing system according to claim 1, wherein: the coating information has information on a length of elapsed time since application of the first coating film to the vehicle; and the processor is programmed to modify the incentive such that the incentive increases if the length of elapsed time decreases. ### Claim 3 (depends on 1) The information processing system according to claim 1, wherein: the processor is programmed to, if a predetermined portion of the vehicle has the first coating film peeled off, modify the incentive. ### Claim 4 (depends on 3) The information processing system according to claim 3, wherein the predetermined portion is a front bumper, a rear bumper, or a door mirror housing. ### Claim 5 (depends on 1) The information processing system according to claim 1, wherein the processor is programmed to calculate the incentive based on information regarding market demand. ### Claim 6 (depends on 5) The information processing system according to claim 5, wherein the processor is programmed to modify the incentive such that the incentive increases if demand for a color of an original paint of the vehicle increases. ### Claim 7 (depends on 1) The information processing system according to claim 1, wherein the processor is programmed to publish, on a first website, information on the vehicle together with information that the first coating film is not peeled off in a period from completion of purchase or return of the vehicle from the first user to the decision to sell or lease the vehicle to the second user. ### Claim 8 (depends on 1) The information processing server system according to claim 1, further comprising a storage that stores a first predetermined map that correlates the non-peeled area ratio to a first correction factor, and a second predetermined map that correlates the degree of degradation to a second correction factor, and the processor is programmed to calculate the incentive using the first correction factor and the second correction factor. ### Claim 9 An information processing method implemented with a system including a server comprising: controlling a device configured to use image processing with a deep learning method or a device configured to optically detect a reflectance to acquire image data; acquire coating information on a first coating film including a non-peeled area ratio and a degree of degradation, the first coating film forming a peelable layer on an exterior of a vehicle that covers an original paint layer, the non-peeled area ratio being a ratio of an area of the first coating film that is not peeled off from the vehicle to an area of the first coating film that is initially applied to the vehicle, the degree of degradation of the first coating film being determined by the device configured to use image processing with the deep learning method or the device configured to optically detect the reflectance; calculating based on the non-peeled area ratio and the degree of degradation, an incentive to be provided to a first user who sells or returns the vehicle, such that the higher the non-peeled area ratio, the greater the incentive, and the smaller the degree of degradation, the greater the incentive; and causing a first terminal device to display the incentive, wherein the first terminal device is an in-store terminal that is used by an employee of a store that buys and sells used vehicles, and wherein the server sends, to a second terminal device, a request to remove the first coating film when a decision is made to sell or lease the vehicle to a second user. ### Claim 10 (depends on 9) The information processing method according to claim 9, wherein calculating the incentive includes modifying the incentive so as to increase when as a length of elapsed time since application of the first coating film to the vehicle decreases, wherein the coating information has information on the length of elapsed time. ### Claim 11 (depends on 9) The information processing method according to claim 9, further comprising modifying the incentive, in response to determining that a predetermined portion of the vehicle has the first coating film peeled off, wherein the coating information has information on the predetermined portion of the vehicle. ### Claim 12 (depends on 11) The information processing method according to claim 11, wherein the predetermined portion is a front bumper, a rear bumper, or a door mirror housing. ### Claim 13 (depends on 9) The information processing method according to claim 9, further comprising calculating the incentive based on information regarding market demand. ### Claim 14 A non-transitory computer-readable storage medium storing instructions that are executable by one or more processors in a system and that cause the one or more processors to perform functions comprising: controlling a device configured to use image processing with a deep learning method or a device configured to optically detect a reflectance to acquire image data; and acquire coating information on a first coating film including a non-peeled area ratio and a degree of degradation, the first coating film forming a peelable layer on an exterior of a vehicle that covers an original paint layer, the non-peeled area ratio being a ratio of an area of the first coating film that is not peeled off from the vehicle to an area of the first coating film that is initially applied to the vehicle, the degree of degradation of the first coating film being determined by the device configured to use image processing with the deep learning method or the device configured to optically detect the reflectance, calculating based on the non-peeled area ratio and the degree of degradation, an incentive to be provided to a first user who sells or returns the vehicle, such that the higher the non-peeled area ratio, the greater the incentive, and the smaller the degree of degradation, the greater the incentive, and causing a first terminal device to display the incentive, wherein the first terminal device is an in-store terminal that is used by an employee of a store that buys and sells used vehicles, and wherein the computer sends, to a second terminal device, a request to remove the first coating film when a decision is made to sell or lease the vehicle to a second user.