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

Internet

http://hdl.handle.net/10361/14986

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