Visual Detection Light Source System for Bearing Production Line
In order to reduce the missed and false detection rates of block defects on bearing end faces during industrial automation production process,a comparative test is conducted on types of light sources commonly used in visual detection.Different light sources are used to capture images under industrial environment,and various image enhancement algorithms are applied for optimization processing.The pixel detection method is utilized to detect block defects on bearing end faces,and the application is verified with factory's detection standards.The results indicate that when the coaxial light source is used as visual light source,the image acquired by coaxial light source exhibits superior detection effect compared with other light sources under different image enhancement algorithms;the adaptive histogram equalization demonstrates excellent effectiveness in overall detection of defects on bearing end faces,while Gamma transformation effectively reduces the missed detection rate.
rolling bearingmachine visuallight sourcesurface defectdetectionimage processing
NETL
NSTL
万方数据
