1Department of Intelligent Engineering, Bozhou Vocational and Technical College, Bozhou 236800, China 2Anhui Lianpeng Bottle Caps Packaging Co. Ltd., Bozhou 236800, China 3College of Pharmacy, Bozhou Vocational and Technical College, Bozhou 236800, China
Received: December 10, 2021 Accepted: June 23, 2022 Publication Date: July 20, 2022
Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.
Defects in liquor and medicine bottlecaps are difficult to be detected by common intelligent vision inspection equipment due to their complex shapes. Manual testing is highly dependent on the subjective judgment of workers, so it is hard to guarantee the test quality. Based on machine vision recognition, this paper construct an online defect detection system with LED light source, industrial camera, industrial computer and PLC for drugs and liquor caps. According to the test results, the system operation is stable and reliable, achieving the design purpose.
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