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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Arnob, Faed Ahmed, Fuad, Md. Azmol, Nizam, Abu Tahir, Siam, Arifin Tanjim
Άλλοι συγγραφείς: Islam, Md. Motaharul
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
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)
Διαθέσιμο Online:http://hdl.handle.net/10361/14986

Διαδίκτυο

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

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