The existing fluorescence defect detection technology mainly uses the method of human eye vision judgment and semi-automation

aiming at the existing problems of low detection efficiency and large radiation damage to human body

a fluorescent magnetic powder automatic detection pipeline system based on machine vision is proposed. The system has the functions of automatic magnetization

defect detection and intelligent sorting to realize the automatic detection process; the magnetic trace defect identification method based on gradient clustering algorithm can classify the detection mode according to the defect characteristics in order to improve the accuracy of defect detection. The experimental results show that the system realizes the complete automatic detection of workpiece defects

the average recognition accuracy rate is up to 98. 53 %

the detection effect is good

and it has high popularization value.