Computer vision system for industrial screwing automation
This project proposes a software that incorporates computer vision algorithms to detect screw types, screw locations, and to locate screw holes on an object to ensure a smooth flow of automated assembly processes. The existing systems are found to be less adaptable for performing automated assembly...
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Format: | Thesis |
Language: | English |
Published: |
2020
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Online Access: | http://eprints.utm.my/93141/1/OmarMohammedShafiqMSKE2020.pdf |