An efficient traffic management system to detect lane rule violation using Real-time Object Detection

An efficient traffic management system to detect lane rule violation using Real-time Object Detection

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

書目詳細資料
Main Authors: Arnob, Faed Ahmed, Fuad, Md. Azmol, Nizam, Abu Tahir, Siam, Arifin Tanjim
其他作者: Islam, Md. Motaharul
格式: Thesis
語言:English
出版: Brac University 2021
主題:
Automatic License Plate Recognition (ALPR)
Hough Line Transform
YOLO Object Detection
Fog Computing
Optical Character Recognition (OCR)
Computer Vision
Data Traffic Management System (Computer system)
在線閱讀:http://hdl.handle.net/10361/14986
實物特徵
總結:This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

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