Patent ID: 11915278
Assignee: RAVIN AI LTD.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 11:
12. A method for automatically detecting a damage to a vehicle, comprising:
a. pre-storing at a database images of basic-parts of at least one vehicle, wherein said basic-parts are selected from the vehicle door-handles, wipers, the right and left mirrors, the four wheels, the license plates, lights, and manufacturer's symbols;
b. capturing by at least one camera a set of “handover” images of a vehicle, each of the images is captured irrespective of the vehicle's movement or of the vehicle's orientation with respect to the capturing camera;
c. capturing at a later stage a set of “return” images of the vehicle, each of the images is also captured irrespective of the vehicle's movement or of the vehicle's orientation with respect to the capturing camera and possibly also by different cameras than those who captured said “handover” images;
d. activating a first determination unit to determine, based on said pre-stored basic-parts images, the location of one or more basic-parts within images of said “handover” and within images of said “return” sets of images;
e. activating a second determination unit to determine, based on said locations of the one or more vehicle's basic parts within the images, the locations of “other parts” of the vehicle within said “handover” and “return” sets of images, thereby to form “handover” and “return” part-images, respectively;
f. activating a transformation unit to separately transform each pair of “handover” and “return” part-images, respectively, to a same plane, wherein said transformation further includes performing of one or more of: displacement, rotation and zoom of a first image relative to the second image in the pair;
g. separately comparing pixel-by-pixel each of said transformed pairs of “handover” and “return” part-images, to thereby detect a difference above a predefined threshold, and to alert when such a difference above the threshold is detected.