Granted Patent B1

US 12,705,934 · App. 18/491,000 · Granted Aug 11, 2026

Inventors: Brian J. Herron (Dexter, MI); James T. Fish (Birmingham, MI); Thomas Winzig (Redmond, WA); Curt Jingle (Ocala, FL); Frank M. Terlep (Richardson, TX)

Assignee: Opus IVS, Inc.

G07C5/006G07C5/008G07C2205/02

Abstract

Claims (37)

1 . A method of generating a pre-repair report for a vehicle that provides information regarding repairs needed on the vehicle, said method comprising:

providing a vehicle diagnostic system comprising a computer device and a report generation tool;

receiving with the computer device vehicle and/or issue information related to the vehicle;

providing the vehicle/issue information to the report generation tool;

generating with the report generation tool a prompt for a large language model based on the vehicle/issue information; and

generating an electronic pre-repair report with the large language model as defined by the prompt, wherein the pre-repair report includes (i) an identification of particular repairs expected to be required on the vehicle, (ii) original equipment manufacturer (OEM) service information regarding why the particular expected repairs are required, (iii) a list of systems on the vehicle requiring calibration after performance of the expected repairs, and (iv) repair service information for how to perform the particular expected repairs.

2 . The method of claim 1 , wherein the computer device and the report generation tool are communicatively coupled via a network, and wherein the network is one of a local network or the Internet.

3 . The method of claim 1 , further comprising determining with the vehicle diagnostic system whether particular Advanced Driver Assistance Systems (ADAS) systems are present on the vehicle, and wherein the vehicle/issue information includes an identification of the particular ADAS systems present on the vehicle.

4 . The method of claim 1 , wherein the report generation tool is communicatively coupled to the large language model.

5 . The method of claim 1 , wherein the report generation tool comprises the large language model.

6 . The method of claim 1 , wherein the vehicle/issue information comprises at least one of: vehicle make, vehicle model, VIN, a list of systems equipped on vehicle, diagnostic scan reports of an electrical system of the vehicle, and an electronic note describing a problem with the vehicle.

7 . The method of claim 1 , wherein the computer device is a vehicle diagnostic tool configured to communicatively couple to the vehicle and read data information of the vehicle.

8 . The method of claim 1 , wherein the vehicle/issue information includes user information, and wherein the pre-repair report is formatted with respect to the user information such that the pre-repair report provides context sensitive information for a user as defined by the user information.

9 . A vehicle diagnostic system for generating a pre-repair report for a vehicle, the system comprising:

a computer device configured to receive vehicle and issue information comprising vehicle information, and/or issue information related to the vehicle; and

a report generation tool communicatively coupled to the computer device;

wherein the computer device is configured to provide the vehicle/issue information to the report generation tool;

wherein the report generation tool is configured to generate a prompt for a large language model based on the vehicle/issue information;

wherein the large language model is configured to generate a pre-repair report as defined by the prompt, wherein the pre-repair report includes (i) an identification of particular repairs expected to be required on the vehicle, (ii) original equipment manufacturer (OEM) service information regarding why the particular expected repairs are required, (iii) a list of systems on the vehicle requiring calibration after performance of the expected repairs, and (iv) repair service information for how to perform the particular expected repairs.

10 . The vehicle diagnostic system of claim 9 , wherein the computer device and the report generation tool are communicatively coupled via a network, and wherein the network is one of a local network or the Internet.

11 . The vehicle diagnostic system of claim 9 , wherein the vehicle diagnostic system is configured to determine via said computer device whether particular Advanced Driver Assistance Systems (ADAS) systems are present on the vehicle, and wherein the vehicle/issue information includes an identification of the particular ADAS systems present on the vehicle.

12 . The vehicle diagnostic system of claim 9 , wherein the report generation tool is communicatively coupled to the large language model.

13 . The vehicle diagnostic system of claim 9 , wherein the report generation tool comprises the large language model.

14 . The vehicle diagnostic system of claim 9 , wherein the vehicle/issue information comprises at least one of: vehicle make, vehicle model, VIN, a list of systems equipped on the vehicle, diagnostic scan reports of an electrical system of the vehicle, and an electronic note describing a problem with the vehicle.

15 . The vehicle diagnostic system of claim 9 , wherein the computer device is a vehicle diagnostic tool configured to communicatively couple to the vehicle and read data information of the vehicle.

16 . The vehicle diagnostic system of claim 9 , wherein the vehicle/issue information includes user information, and wherein the vehicle diagnostic system is configured to format the pre-repair report with respect to the user information such that the pre-repair report provides context sensitive information for a user as defined by the user information.

17 . The vehicle diagnostic system of claim 9 , wherein the computer device is configured to display the pre-repair report to a user for review, and wherein the vehicle diagnostic system further comprises an input device configured to allow the user to input additional vehicle/issue information, and wherein the computer device is configured to provide the additional vehicle/issue information to the report generation tool, and wherein the report generation tool is configured to generate a revised prompt for the large language model based on the additional vehicle/issue information, and wherein the large language model is configured to generate a revised pre-repair report as defined by the revised prompt.

18 . The vehicle diagnostic system of claim 9 , wherein the large language model is configured to generate a probability estimate of the likelihood of each of the identified particular repairs being required.

19 . The method of claim 1 further comprising:

displaying the pre-repair report via the computer device to a user for review;

receiving input with the computer device from the user wherein the input comprises additional vehicle/issue information;

providing the additional vehicle/issue information to the report generation tool;

generating with the report generation tool a revised prompt for the large language model based on the additional vehicle/issue information; and

generating a revised pre-repair report with the large language model as defined by the revised prompt.

20 . The method of claim 1 , wherein said generating an electronic pre-repair report with the large language model further comprises generating a probability estimate of the likelihood of each of the identified particular pairs being required.

21 . The method of claim 3 , wherein said determining with the vehicle diagnostic system whether particular ADAS systems are present on the vehicle comprises operatively connecting the vehicle diagnostic system to be in communication with an electronic system of the vehicle and reading vehicle data information with the vehicle diagnostic system; and

wherein said providing the vehicle/issue information to the report generation tool comprises providing the vehicle data information to the report generation tool.

Assignments (2)

Continuity (3)

References Cited (113)