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.

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون: Arnob, Faed Ahmed, Fuad, Md. Azmol, Nizam, Abu Tahir, Siam, Arifin Tanjim
مؤلفون آخرون: Islam, Md. Motaharul
التنسيق: أطروحة
اللغة:English
منشور في: Brac University 2021
الموضوعات:
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)
الوصول للمادة أونلاين:http://hdl.handle.net/10361/14986

مواد مشابهة

مواد مشابهة