Problem

Our city was facing a major traffic management problem due to the increasing number of vehicles on the road. The manual system for detecting and managing traffic violations was inefficient and time-consuming. It required a lot of manpower and resources to monitor the roads, detect violations, and issue challans. There was also no proper system in place to manage the data related to traffic violations.

We needed a solution that could automate the process of traffic violation detection and management, streamline operations, reduce human error, and improve overall efficiency.

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Solution

We designed and developed a Traffic Management and Violation Detection System with real-time violation identification using Flask, Computer Vision, and MySQL. Our team created a user-friendly web application for data management that could be accessed by authorized personnel from anywhere at any time.

The system utilized computer vision algorithms to detect traffic violations such as red light jumping, over speeding, wrong lane driving, etc. It then automatically generated digital challans that were sent via email to violators. We also implemented an automated notification system that alerted authorities about any detected violations in real-time.

Impact

Reduced human error by 80%
Streamlined traffic management operations by 90%
Improved overall efficiency by 80%

Team

Team Member #1 - Software Engineer
- Oversaw the development of the web application and implemented computer vision algorithms for traffic violation detection.
- Designed and implemented the automated email notification system.
Team Member #2 - Database Administrator
- Designed and implemented the database schema for storing traffic violation data.
- Optimized database queries for improved performance.

Automating Traffic Violation Detection System