US 12,437,389 B2
Vehicle damage detection system and method
Philip Zylstra, Port Stanley (CA); and Matthew James Gibson, Stouffville (CA)
Appl. No. 18/554,181
Filed by 2872475 Ontario Limited, Richmond Hill (CA)
PCT Filed Apr. 25, 2022, PCT No. PCT/CA2022/050631
§ 371(c)(1), (2) Date Oct. 5, 2023,
PCT Pub. No. WO2022/226636, PCT Pub. Date Nov. 3, 2022.
Claims priority of provisional application 63/280,352, filed on Nov. 17, 2021.
Claims priority of provisional application 63/179,575, filed on Apr. 26, 2021.
Prior Publication US 2024/0257335 A1, Aug. 1, 2024
Int. Cl. G06T 7/00 (2017.01); B60S 5/00 (2006.01); G06T 17/00 (2006.01)
CPC G06T 7/001 (2013.01) [G06T 17/00 (2013.01); B60S 5/00 (2013.01); G06T 2200/24 (2013.01); G06T 2207/10024 (2013.01); G06T 2207/10028 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01); G06T 2210/56 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for assessing damage to a vehicle, the method comprising:
capturing a 3D point cloud of a damaged vehicle and its damaged components with a 3D scanner;
comparing the 3D point cloud of the damaged vehicle to a baseline 3D file of an original equipment manufacturer (OEM) standard vehicle of the same type;
identifying a site of vehicle damage on the damaged vehicle based on the comparison of the captured 3D point cloud of the damaged vehicle to the baseline 3D file by identifying a set of deviating points within the 3D point cloud of the damaged vehicle that deviate from the baseline 3D file of the OEM standard vehicle;
quantifying a deviation of the identified set of deviating points on a x,y,z, plot based on location of points in the 3D point cloud of the damaged vehicle at the site of vehicle damage compared to the OEM standard;
displaying, on a user interface, an image overlay of the captured 3D point cloud of the damaged vehicle and the baseline 3D OEM standard vehicle and identifying points within the scanned point cloud of the damage vehicle that are beyond a predetermined threshold of deviation from the OEM standard vehicle; and
selecting, using a graphical user interface, specific points on the 3D point cloud of the damaged vehicle and the baseline 3D file to isolate a measured and angular difference of the specific points.