US 12,322,085 B2
Method and system for inspecting a surface with artificial intelligence assist
Ahmed Elhossini, Waterloo (CA); David Paul Smith, Kitchener (CA); and Mehrdad Bakhtiari, Kitchener (CA)
Assigned to VIRTEK VISION INTERNATIONAL INC., Waterloo (CA)
Filed by VIRTEK VISION INTERNATIONAL INC, Waterloo (CA)
Filed on Apr. 12, 2023, as Appl. No. 18/133,739.
Application 18/133,739 is a continuation in part of application No. 18/087,250, filed on Dec. 22, 2022.
Claims priority of provisional application 63/331,064, filed on Apr. 14, 2022.
Prior Publication US 2023/0334653 A1, Oct. 19, 2023
Int. Cl. G01B 11/30 (2006.01); G06T 7/00 (2017.01); G06T 7/73 (2017.01)
CPC G06T 7/001 (2013.01) [G06T 7/73 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20212 (2013.01); G06T 2207/30161 (2013.01); G06T 2207/30164 (2013.01)] 15 Claims
OG exemplary drawing
 
1. A system for identifying accurate assembly of a component to a workpiece, comprising:
a light source for projecting light indicia onto the component assembled to the workpiece;
a controller including an artificial intelligence (AI) element including a machine learning model that establishes a convoluted neural network trained by stored images of light indicia projected onto the component assembled to the workpiece;
an imager including an image sensor system for imaging the workpiece and signaling a current image of the workpiece to said controller;
said machine learning model directing inspection of the workpiece to the light indicia imaged by said imager; and
said AI element determining disposition of the component disposed upon the workpiece through said neural network identifying distortions of the light indicia in the current image.