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- Title
基于机器视觉的铜板垛捆扎带定位技术研究.
- Authors
晏祖根; 陈 召; 朱 迪; 孙智慧; 孟 爽; 李 鹏
- Abstract
In view of the current production situation of high labor intensity in manual cutting metal strapping belts for heavy load copper plate stack, poor production environment and weak safety in cable manufacturers, the research and development of automatic transfer and weighing of copper plate stack, automatic cutting and extraction of metal strapping belts from the production line was carried out based on machine vision guidance. The machine vision positioning system of strapping belts for large size copper plate stacks was constructed, and the automatic positioning strategy of metal strapping belts was established. The automatic positioning and guidance technology of strapping robot was studied by using machine vision algorithms such as threshold segmentation, edge detection, morphological open and close operation, and watershed algorithm. The actual test results show that the machine vision positioning error of the strapping belts is less than 1mm, the minimum distance of the execution operation error is 0.3 mm, and the maximum distance is 1.0 mm, which can meet the needs of automatic cutting of strapping belts for copper plate stacks in cable manufacturers. This study provides a new solution for enterprises to cut.
- Publication
Packaging & Food Machinery, 2023, Vol 41, Issue 4, p76
- ISSN
1005-1295
- Publication type
Article
- DOI
10.3969/j.issn.1005-1295.2023.04.012