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Article

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

1
Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 106, Taiwan
2
Center for Cyber-Physical System Innovation, National Taiwan University of Science and Technology, Taipei 106, Taiwan
3
Taiwan Building Technology Center, National Taiwan University of Science and Technology, Taipei 106, Taiwan
*
Authors to whom correspondence should be addressed.
Academic Editors: Abir Hussain, Dhiya Al-Jumeily, Hissam Tawfik and Panos Liatsis
Sensors 2021, 21(12), 4071; https://doi.org/10.3390/s21124071
Received: 30 May 2021 / Revised: 10 June 2021 / Accepted: 12 June 2021 / Published: 13 June 2021
(This article belongs to the Collection Robotics, Sensors and Industry 4.0)
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. View Full-Text
Keywords: automatic optical inspection (AOI); offline programming; position correction; image processing; production line; manipulator; camera-based system automatic optical inspection (AOI); offline programming; position correction; image processing; production line; manipulator; camera-based system
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MDPI and ACS Style

Bedaka, A.K.; Lee, S.-C.; Mahmoud, A.M.; Cheng, Y.-S.; Lin, C.-Y. A Camera-Based Position Correction System for Autonomous Production Line Inspection. Sensors 2021, 21, 4071. https://doi.org/10.3390/s21124071

AMA Style

Bedaka AK, Lee S-C, Mahmoud AM, Cheng Y-S, Lin C-Y. A Camera-Based Position Correction System for Autonomous Production Line Inspection. Sensors. 2021; 21(12):4071. https://doi.org/10.3390/s21124071

Chicago/Turabian Style

Bedaka, Amit K., Shao-Chun Lee, Alaa M. Mahmoud, Yong-Sheng Cheng, and Chyi-Yeu Lin. 2021. "A Camera-Based Position Correction System for Autonomous Production Line Inspection" Sensors 21, no. 12: 4071. https://doi.org/10.3390/s21124071

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