Real-Time Assembly Operation Recognition
DOI :
https://doi.org/10.35219/mms.2022.4.15Mots-clés :
computer vision, assembly operation, recognitionRésumé
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.
Téléchargements
Les données relatives au téléchargement ne sont pas encore disponibles.
Téléchargements
Publiée
2022-12-15
Numéro
Rubrique
Articles
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
