US 12,450,720 B2
Systems and methods for automated inspection of vehicles for body damage
Guy Engel, Herzliya (IL); Paz Ilan, Tel Aviv (IL); Noa Yedidia, Givatayim (IL); Tomer Efi Daloomi, Tel Aviv (IL); Daniel Arzouan, Ramat Gan (IL); and Amir Hever, Tenafly, NJ (US)
Assigned to UVeye Ltd., Tel Aviv (IL)
Filed by UVeye Ltd., Tel Aviv (IL)
Filed on Dec. 23, 2024, as Appl. No. 18/991,874.
Application 18/991,874 is a continuation in part of application No. 18/613,176, filed on Mar. 22, 2024, granted, now 12,175,651.
Prior Publication US 2025/0299319 A1, Sep. 25, 2025
This patent is subject to a terminal disclaimer.
Int. Cl. G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01); G06V 10/74 (2022.01)
CPC G06T 7/0008 (2013.01) [G06T 7/20 (2013.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01); G06V 10/761 (2022.01); G06T 2207/30108 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer implemented method of image processing for detection of damage to a vehicle, comprising:
accessing a plurality of time-spaced image sequences depicting a region of a vehicle, captured by a plurality of image sensors positioned at a plurality of different heights and/or angles relative to the vehicle;
identifying a plurality of candidate regions of damage in the plurality of time-spaced image sequences;
performing multi-level redundancy validation by:
executing spatial correlation between images captured by different images sensors at different heights and/or different angles,
executing temporal correlation between consecutive images captured by each image sensor, and
validating persistence of each candidate region of damage across a threshold number of consecutive frames;
identifying redundancy in the plurality of candidate regions of damage corresponding to a common physical location of the vehicle denoting a single physical damage region based on the multi-level redundancy validation; and
providing an indication of the common physical location of the vehicle corresponding to the single physical damage region.