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...
Main Author: | Marei, Omar Mohammed Shafiq (Author) |
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Format: | Thesis |
Published: |
2020.
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Subjects: | |
Online Access: | Get fulltext |
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