Real-Time Assembly Operation Recognition

Auteur/ices

  • Florin-Bogdan MARIN “Dunarea de Jos” University of Galati, Romania
  • Gheorghe GURĂU “Dunarea de Jos” University of Galati, Romania
  • Mihaela MARIN “Dunarea de Jos” University of Galati, Romania

DOI :

https://doi.org/10.35219/mms.2022.4.15

Mots-clés :

computer vision, assembly operation, recognition

Résumé

This research is concerned to propose a computer vision algorithm to track manual assembly task. Manual assembly in case of electronics parts are used largely in automotive industry. The phases tracking of assembly could also be used for learning purposes such in case showed in this research, checking the assembly of an electronic educational board. The algorithms used for detection of different components are CNN (Convolutional Neuronal Network) as well as blob detection.

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Publiée

2022-12-15

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Comment citer

1.
Real-Time Assembly Operation Recognition. Ann_UGAL_MMS [Internet]. 15 déc. 2022 [cité 2 nov. 2026];45(4):92-5. Disponible sur: https://ojs.ugal.ro/index.php/mms/article/view/5825

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