Novel Automatic Workpiece Surface Defects Detection System

An automatic workpiece surface defect detection system based on machine vision is proposed. In order to solve the difficulty of detecting surface defects of irregular workpieces, the system adopts seven shooting stations to collect pictures of workpieces from different angles. Then the pictures of each station are processed at the same time. Advanced image processing algorithms are proposed to detect defects on highly reflective metal surfaces. Finally, the processing results of all stations are combined together to determine whether the workpieces are qualified or not. Tested in real industrial environments, our proposed system achieves a detection accuracy of 99.7%. On average one hundred workpieces can be inspected per minute.