3D defect detection of connectors based on structured light

• 作者: JI Yue CHEN Yang SONG Li-mei YANG Yan-gang YANG Huai-dong
• 来源期刊: 光电子快报（英文版）
• 年，卷（期）: 2021,（2）
• 所属期刊栏目: Measurement Devices and Methods
• 页码范围: 107-111
• 页数: 5页
• 语种: 英文
• DOI: 10.1007/s11801-021-9212-8

摘要

In order to realize the rapid detection of three-dimensional defects of connectors,this paper proposes a method for de-tecting connector defects based on structured light.This method combines structured light with binocular stereo vision to obtain three-dimensional data for the connector.Point cloud registration is used to identify defects and decision trees are used to classify defects.The accuracy of the 3D reconstruction results in this paper is 0.01 mm,the registration ac-curacy of the point cloud reaches the sub-millimeter level,and the final defect classification accuracy is 94％.The ex-perimental results prove the effectiveness of the proposed three-dimensional connector defect detection method in connector defect detection and classification.