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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Bibliographic Details
Main Author: Marei, Omar Mohammed Shafiq
Format: Thesis
Language:English
Published: 2020
Subjects:
Online Access:http://eprints.utm.my/id/eprint/93141/1/OmarMohammedShafiqMSKE2020.pdf
http://eprints.utm.my/id/eprint/93141/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:135981
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