Leveraging robust CNN architectures for real-time object recognition from conveyor belt

Leveraging robust CNN architectures for real-time object recognition from conveyor belt

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.

Manylion Llyfryddiaeth
Prif Awduron: Moon, Nowrin Tasnim, Siddiqua, Sabiha Afrin, Parvin, Shahana, Muntaha, Sidratul, Hassan, K.M. Mehedi
Awduron Eraill: Mostakim, Moin
Fformat: Traethawd Ymchwil
Iaith:English
Cyhoeddwyd: Brac University 2023
Pynciau:
Neural network
Object detection
Conveyor belt
VGG16
ResNet
MobileNet
YOLOv5
YOLOv7
Convolutional Neural Network
CNN
Vision transformer
Neural networks (Computer science)
Mynediad Ar-lein:http://hdl.handle.net/10361/19296

Rhyngrwyd

http://hdl.handle.net/10361/19296

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