A Camera-Based Position Correction System for Autonomous Production Line Inspection

作     者：Bedaka, Amit Kumar Lee, Shao-Chun Mahmoud, Alaa M. Cheng, Yong-Sheng Lin, Chyi-Yeu 

作者机构：Natl Taiwan Univ Sci & Technol Dept Mech Engn Taipei 106 Taiwan Natl Taiwan Univ Sci & Technol Ctr Cyber Phys Syst Innovat Taipei 106 Taiwan Natl Taiwan Univ Sci & Technol Taiwan Bldg Technol Ctr Taipei 106 Taiwan 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2021年第21卷第12期

页      面：4071-4071页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：Taiwan Building Technology Center Center for Cyber-Physical System Innovation from the Featured Areas Research Center Program Inventec Co. Ltd., Taiwan (R.O.C) 

主　　题：automatic optical inspection (AOI) offline programming position correction image processing production line manipulator camera-based system 

摘      要：Visual inspection is an important task in manufacturing industries in order to evaluate the completeness and quality of manufactured products. An autonomous robot-guided inspection system was recently developed based on an offline programming (OLP) and RGB-D model system. This system allows a non-expert automatic optical inspection (AOI) engineer to easily perform inspections using scanned data. However, if there is a positioning error due to displacement or rotation of the object, this system cannot be used on a production line. In this study, we developed an automated position correction module to locate an object s position and correct the robot s pose and position based on the detected error values in terms of displacement or rotation. The proposed module comprised an automatic hand-eye calibration and the PnP algorithm. The automatic hand-eye calibration was performed using a calibration board to reduce manual error. After calibration, the PnP algorithm calculates the object position error using artificial marker images and compensates for the error to a new object on the production line. The position correction module then automatically maps the defined AOI target positions onto a new object, unless the target position changes. We performed experiments that showed that the robot-guided inspection system with the position correction module effectively performed the desired task. This smart innovative system provides a novel advancement by automating the AOI process on a production line to increase productivity.