Traffic Surveillance & Violation Detection

Build an AI model that detects traffic violations (e.g., helmetless riders, red light jumpers, speeding vehicles).

Repository Demo
Team Members
SNEHA SARKAR 22BAI10350
SNEHA SARKAR 22BAI10350
sneha_sarkar_22bai10350
 Priyam Koley 23bce10953
Priyam Koley 23bce10953
priyam_koley_23bce10953
 ARYAN VIMAL EJANTKAR 22BAI10150
ARYAN VIMAL EJANTKAR 22BAI10150
aryan_vimal_ejantkar_22bai1015
 PRAKRITI CHANDEL 22BCE10616
PRAKRITI CHANDEL 22BCE10616
prakriti_chandel_22bce10616
Description

This project aims to develop an AI-powered traffic surveillance system that detects and analyzes traffic violations in real-time using object detection. The system leverages deep learning models to identify various traffic rule violations, such as:

  • Helmetless riders on two-wheelers

  • Jumping red lights at intersections

  • Over speeding vehicles

  • Lane violations (e.g., wrong-way driving, crossing solid lanes)

  • Illegal parking

Issues & PRs Board
No issues or pull requests added.