🚦 Revolutionizing Road Safety with AI
This project introduces a cutting-edge system that combines machine learning with real-time video analysis to detect helmets and recognize vehicle number plates. By automating road safety monitoring, this solution aims to bring a positive change to traffic enforcement and reduce accidents.

👷 Motivation for Innovation
With increasing road accidents and non-compliance to helmet rules, the need for automated enforcement has never been clearer. Our project leverages the latest in computer vision and AI, offering a powerful tool to support law enforcement and ensure safer roads for all!

🔍 Smart Detection in Action
Using the YOLO model and EasyOCR, our system identifies whether riders are wearing helmets and captures number plate details with high accuracy—even in challenging conditions. This dual-function system ensures efficient traffic rule enforcement!

⚙️ Advanced Methodology
Our approach involves a robust pipeline, from data acquisition and preprocessing to real-time processing and result visualization. This structured approach allows for effective monitoring and insightful data collection, ensuring every aspect of safety is covered!

🚀 Future Prospects
This project opens doors to even more innovative possibilities! We aim to enhance detection algorithms, broaden violation detection, and ensure scalability across diverse traffic environments. Future enhancements will make it even more versatile for real-world applications.

🛠️ Continuous Improvement
Our team is dedicated to ongoing refinement of the helmet detection and number plate recognition system. With continuous feedback and advancements in AI, we aim to improve accuracy and usability for all traffic monitoring scenarios.