Automotive Semi-specular Surface Defect Detection System

Abstract

In this work, a deflectometry based efficient semi-specular surface defect detection system is developed. This system, when integrated with a robotic arm, can detect defects on large and widely varying topological surfaces like a car bumper. A hybrid pipe line, that utilizes multi-threading, is designed to efficiently use resources and speedup the inspection process. Specific filters are also designed to eliminate spurious defects due to edges and acute curvature changes. The developed system was successful in consistently detecting various defects on large bumper parts with varying topology and color and can accommodate inherent ambient lighting and vibration issues.