A high performance real-time vision system for curved surface inspection

Abstract

Surface quality plays an important role in inspection lines. In this paper, a novel imaging device combined with FPGA (Field Programmable Gate Array) based processing platform had been designed to detect and analyse curved surface defects for vision inspection. The optical imaging part was made by an optical device which can be used to collect curved surface features without anamorphose and a camera with 70k Hz linear CMOS was used to capture surface information. The FPGA based inspection platform had been developed for camera control and image processing. Inspecting experiments had been tested with an inspection accuracy of 0.2 mm x 0.2 mm which satisfied a 12 m/s real-time vision inspection line. This research result can be subsequently applied to various surface inspection scenarios.