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.

Bibliografische gegevens
Hoofdauteurs:	Arnob, Faed Ahmed, Fuad, Md. Azmol, Nizam, Abu Tahir, Siam, Arifin Tanjim
Andere auteurs:	Islam, Md. Motaharul
Formaat:	Thesis
Taal:	English
Gepubliceerd in:	Brac University 2021
Onderwerpen:	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)
Online toegang:	http://hdl.handle.net/10361/14986

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