IP Library Granted Patent US 12,373,894
Granted Patent B2
US 12,373,894 · App. 17/955,011 · Granted Jul 29, 2025

Vehicle supply chain tracking system

Inventors: Richard T. Megherby (New Canaan, CT); Emily S. Yale (Branford, CT); Aleksander V. Tropp (Old Greenwich, CT); Michael T. McClure (Shelton, CT); Domenico Marco Di Donna (Naples, IT); Tyler Crain (Oakland, CA)
Assignee: Fulpruf Technology Corporation
G06Q40/08B25J9/1664B25J19/023G06T7/0008G06T7/001G06V10/10G06V20/17G06V20/20B64U10/60B64U20/87B64U50/19B64U50/30B64U2101/30G06T2207/30156G06T2207/30252
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Quick Facts
Patent No.
US 12,373,894
App. No.
17/955,011
Filed
Sep 28, 2022
Granted
Jul 29, 2025
Kind
B2
Art Unit
2677
USPC
382/103
Abstract

A system for capturing VIN numbers and vehicles images to track vehicle damage through vehicle supply chains which includes a mobile software application and/or robot(s) which moves autonomously around parking lots. The mobile application can direct the user to capture VIN images and/or vehicle images from certain views and collect GPS positions of the same and the robot includes various cameras and sensors to identify vehicles and take pictures of them. All of the captured images of vehicles are sent to a central server/storage where the vehicle images can be checked for damage as compared to locations so that it can be determined who was in possession of the vehicle when damage occurred.

Claims (24)

1. A system for image capture of vehicles comprising:

a mobile computing device having a camera, a display and mobile software executing thereon, the mobile software configured to receive a vehicle identifier for at least a first vehicle;

the mobile software configured to display one or more prompts, the prompts include at least one target displayed on the screen, the at least one target positioned and sized on the screen based on the mobile software identifying the first vehicle via the camera and determining a position of the camera relative to the vehicle and based on at least one pre-determined view of the first vehicle and the target moves on the display upon movement of the mobile device around to the vehicle;

wherein upon alignment of the at least one target with the display according to the at least one pre-determined view, the mobile software captures at least one image of the vehicle with the camera for each of the at least one target.

2. The system of claim 1 wherein the mobile software captures a plurality of images, each image associated with one of the plurality of targets.

3. The system of claim 1 wherein the mobile software transmits the at least one image over a network to a system computer where a vehicle record associated with the vehicle identifier is associated with the at least one image.

4. The system of claim 2 wherein each of the at least one images is associated with a location as determined by a GPS receiver of the mobile computing device.

5. The system of claim 1 wherein the mobile software displays one or more prompts for capture of a vehicle identification (VIN) number via the camera.

6. The system of claim 2 wherein the mobile computing device comprises a plurality of mobile computing devices and wherein a system computer is configured to receive first and second sets of images from different ones of the plurality of mobile computing devices and to associate the first and second sets of images with the same vehicle record based on a vehicle identification (VIN) number.

7. The system of claim 5 wherein the first and second sets of images are associated with different locations indicative of the same vehicle having been at two different locations.

8. The system of claim 6 wherein each of the plurality of mobile devices is associated with a GPS receiver and the two different locations are determined based on the GPS receiver.

9. The system of claim 7 wherein the first and second sets of images are a plurality of first sets of images and a plurality of second sets of images, each set of the plurality of first sets of images associated with a different vehicle identifier and vehicle record.

10. The system of claim 1 wherein determining a position of the camera relative to the vehicle includes identifying at least two points on the vehicle and determining a distance and angle of the camera relative to the vehicle.

11. A system for vehicle supply chain tracking through image capture of vehicles comprising:

a system computer having software executing thereon, said system computer in communication with one or more mobile devices and one or more robots via one or more networks, each mobile device and each robot including a camera and a global positioning system (GPS) receiver:

said software configured to receive a plurality of vehicle identifiers from the one or more mobile devices each vehicle identifier associated with a GPS location determined by the GPS receiver of the one or more mobile devices;

said software configured to transmit instructions to the one or more robots to direct at least one of the one or more robots to each of a plurality of the GPS locations such that the at least one of the one or more robots moves to or adjacent to the GPS location and captures a plurality of images of a vehicle associated with the vehicle identifier at or adjacent its corresponding GPS location.

12. The system of claim 11 wherein the robot includes with a ground movement device configured to move the robot over a ground surface.

13. The system of claim 12 wherein the robot further includes at least one thruster configured to move a portion of the robot through air.

14. The system of claim 11 wherein a portal is provided with said software of said system computer to allow access to a vehicle record and the vehicle record includes the plurality of images captured by the one or more robots.

15. The system of claim 1 wherein the plurality vehicle identifiers are captured by scanning using barcode scanning or ocular character recognition.

16. The system of claim 15 wherein the vehicle identifier captured is verified based on a string of letters and/or numbers determined by the scanning and checking if the string matches an expected vehicle identifier pattern and if scanning fails or the string does not match, the software of the corresponding mobile device generates instructions to re-position the camera.

17. The system of claim 11 wherein one or more of the plurality of vehicle identifiers is a vehicle identification (VIN) number.

18. The system of claim 11 wherein one or more of the plurality of vehicle identifiers is obtained using the camera of at least one of the one or more mobile devices.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 17, 2023
From: MEGHERBY, RICHARD T.; YALE, EMILY S.; TROPP, ALEKSANDER V.; MCCLURE, MICHAEL T.; DI DONNA, DOMENICO MARCO; CRAIN, TYLER
To: FULPRUF TECHNOLOGY CORPORATION
Reel/Frame 062391/0038 →
Continuity (3)
Continuation 17167054 · Feb 3, 2021
Provisional Application 62970474 · Feb 5, 2020
Related Publication 20230111980A1 · Apr 13, 2023
References Cited (106)
US 7436143B2 · Lakshmanan et al. · 2008 [cited by applicant]
US 7889931B2 · Webb et al. · 2011 [cited by applicant]
US 8590829B2 · Keidar et al. · 2013 [cited by applicant]
US 10195629B1 · Dahlstrom · 2019 [cited by applicant]
US 10217297B2 · DeCia et al. · 2019 [cited by applicant]
US 10268892B1 · Miller et al. · 2019 [cited by applicant]
US 10373260B1 · Haller, Jr. et al. · 2019 [cited by applicant]
US 10410278B2 · Altermatt et al. · 2019 [cited by applicant]
US 10417911B2 · Herman et al. · 2019 [cited by applicant]
US 10475208B1 · Morrison et al. · 2019 [cited by applicant]
US 10607084B1 · Tang et al. · 2020 [cited by applicant]
US 10643332B2 · Hever et al. · 2020 [cited by applicant]
US 10650530B2 · Hever et al. · 2020 [cited by applicant]
US 10703476B2 · Allard et al. · 2020 [cited by applicant]
US 10773800B2 · Buyse et al. · 2020 [cited by applicant]
US 10814800B1 · Gould · 2020 [cited by applicant]
US 10825097B1 · Knuffman et al. · 2020 [cited by applicant]
US 11301981B2 · Hever et al. · 2022 [cited by applicant]
US 11303822B2 · Gould · 2022 [cited by applicant]
US 11348223B2 · Hever et al. · 2022 [cited by applicant]
US 11430143B2 · Dmitriev · 2022 [cited by applicant]
US 11453349B2 · Gould · 2022 [cited by applicant]
US 11562472B2 · Grossman et al. · 2023 [cited by applicant]
US 11707948B2 · Shklyar et al. · 2023 [cited by applicant]
US 20040167682A1 · Beck et al. · 2004 [cited by applicant]
US 20060004487A1 · Sugiyama · 2006 [cited by examiner]
US 20060114531A1 · Webb et al. · 2006 [cited by applicant]
US 20070294147A1 · Dawson et al. · 2007 [cited by applicant]
US 20090115609A1 · Weaver · 2009 [cited by applicant]
US 20090265193A1 · Collins et al. · 2009 [cited by applicant]
US 20100219297A1 · Chesser et al. · 2010 [cited by applicant]
US 20120043411A1 · Beck et al. · 2012 [cited by applicant]
US 20120130872A1 · Baughman et al. · 2012 [cited by applicant]
US 20120297337A1 · St. Denis et al. · 2012 [cited by applicant]
US 20130201354A1 · LaScolea · 2013 [cited by examiner]
US 20130233964A1 · Woodworth et al. · 2013 [cited by applicant]
US 20130297353A1 · Strange et al. · 2013 [cited by applicant]
US 20130329943A1 · Christopulos et al. · 2013 [cited by applicant]
US 20140270385A1 · Nepomniachtchi · 2014 [cited by examiner]
US 20150026174A1 · Nuggehalli et al. · 2015 [cited by applicant]
US 20150029346A1 · Sieger · 2015 [cited by examiner]
US 20150032580A1 · Altermatt et al. · 2015 [cited by applicant]
US 20150097924A1 · Hauk · 2015 [cited by applicant]
US 20150103170A1 · Nelson et al. · 2015 [cited by applicant]
US 20160034590A1 · Endras et al. · 2016 [cited by applicant]
US 20160078759A1 · Nerayoff · 2016 [cited by examiner]
US 20160129999A1 · Mays · 2016 [cited by applicant]
US 20160140778A1 · Bailly et al. · 2016 [cited by applicant]
US 20160173740A1 · Corby · 2016 [cited by examiner]
US 20160200437A1 · Ryan et al. · 2016 [cited by applicant]
US 20160232411A1 · Krishnamoorthy et al. · 2016 [cited by applicant]
US 20160253576A1 · Kilpatrick · 2016 [cited by applicant]
US 20160318607A1 · Desai et al. · 2016 [cited by applicant]
US 20170111567A1 · Pila · 2017 [cited by applicant]
US 20170221229A1 · Perrier et al. · 2017 [cited by applicant]
US 20170267345A1 · Marom · 2017 [cited by applicant]
US 20170330460A1 · Massey · 2017 [cited by applicant]
US 20180013211A1 · Ricci · 2018 [cited by applicant]
US 20180029797A1 · Hance et al. · 2018 [cited by applicant]
US 20180155057A1 · Irish · 2018 [cited by applicant]
US 20180158039A1 · Cox · 2018 [cited by examiner]
US 20180215546A1 · High · 2018 [cited by examiner]
US 20180260793A1 · Li · 2018 [cited by examiner]
US 20190031343A1 · Russell · 2019 [cited by applicant]
US 20190055015A1 · Allard et al. · 2019 [cited by applicant]
US 20190064836A1 · Buttolo · 2019 [cited by examiner]
US 20190082149A1 · Correnti · 2019 [cited by examiner]
US 20190088123A1 · Farooq · 2019 [cited by examiner]
US 20190102874A1 · Goja · 2019 [cited by applicant]
US 20190130671A1 · Dillow et al. · 2019 [cited by applicant]
US 20190147583A1 · Stefan · 2019 [cited by applicant]
US 20190206005A1 · Liu et al. · 2019 [cited by applicant]
US 20190266715A1 · Myers et al. · 2019 [cited by applicant]
US 20190279142A1 · Andrews · 2019 [cited by applicant]
US 20190295189A1 · Strasser · 2019 [cited by applicant]
US 20190303982A1 · Michel et al. · 2019 [cited by applicant]
US 20190318549A1 · Zeira et al. · 2019 [cited by applicant]
US 20190362569A1 · Manoria · 2019 [cited by applicant]
US 20200005641A1 · Park · 2020 [cited by applicant]
US 20200035101A1 · Brooks et al. · 2020 [cited by applicant]
US 20200082545A1 · Wylie et al. · 2020 [cited by applicant]
US 20200207488A1 · Troy et al. · 2020 [cited by applicant]
US 20210174117A1 · Hever et al. · 2021 [cited by applicant]
US 20210241438A1 · Megherby et al. · 2021 [cited by applicant]
CN 205238036U · 2016 [cited by applicant]
CN 108460972A · 2018 [cited by applicant]
CN 110245552A · 2019 [cited by examiner]
CN 110245552B · 2019 [cited by applicant]
CN 110263615A · 2019 [cited by examiner]
EP 3579174A1 · 2019 [cited by applicant]
GB 2552092A · 2018 [cited by applicant]
WO 2007141795A1 · 2007 [cited by applicant]
WO 2017027648A1 · 2017 [cited by applicant]
WO WO2017197444A1 · 2017 [cited by examiner]
WO 2019067788A1 · 2019 [cited by applicant]
Amin et al., Quality of Obstacle Distance Measurement using Ultrasonic Sensor and Precision of Two Computer Vision-based Obstacle Detection Approaches, IEEE, 2015, p. 1-4 (Year: 2015). [cited by applicant]
Bansal et al., Vision-based Perception for Autonomous Urban Navigation, 2008, IEEE, p. 434-440 (Year: 2008). [cited by applicant]
Coia, Anthony, “Maintaining the flow”, Automotive Logistics, pp. 1-5, Mar. 30, 2015. [cited by applicant]
Fitzgerald, Joseph et al., “Using autonomous robots to drive supply chain innovation”, Deloitte, pp. 1-12, 2017. [cited by applicant]
International Search Report and Written Opinion of the Searching Authority dated Apr. 23, 2021 in PCT/US2021/16607. [cited by applicant]
Marcia, et al. “Behind the great automotive cover-up”, Automotive Logistics, pp. 1-9, Jul. 1, 2012. [cited by applicant]
Maru et al., Obstacle detection for vehicles in intellignet transport system, IEEE, 2016, p. 431-435 (Year: 2016). [cited by applicant]
Seki et al., Robust Obstacle Detection in General Road Environment Based on Road Extraction and Pose Estimation, IEEE, 2021, p. 437-444 (Year: 2021). [cited by applicant]
Sivaraman et al., Looking at Vehicles on the Road: A Survey of Vision-Based Vehicle Detection, Tracking, and Behavior Analysis, 2013, IEEE, p. 1773-1795 (Year: 2013). [cited by applicant]
Unknown. “VIN Number Location.com”, in VINnumberlocation.com [online], pp. 1-4, 2-4 published Mar. 3, 2019 (retrieved on Mar. 26, 2021). Retrieved from the Internet <URL: https://web.archive.org/web/20190303025312/https… [cited by applicant]
Extended/Supplementary European Search Report; EP Application No. 21750121.2; Dec. 8, 2023. [cited by applicant]