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.

מידע ביבליוגרפי
Main Authors: Moon, Nowrin Tasnim, Siddiqua, Sabiha Afrin, Parvin, Shahana, Muntaha, Sidratul, Hassan, K.M. Mehedi
מחברים אחרים: Mostakim, Moin
פורמט: Thesis
שפה:English
יצא לאור: Brac University 2023
נושאים:
Neural network
Object detection
Conveyor belt
VGG16
ResNet
MobileNet
YOLOv5
YOLOv7
Convolutional Neural Network
CNN
Vision transformer
Neural networks (Computer science)
גישה מקוונת:http://hdl.handle.net/10361/19296

אינטרנט

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

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