Inspiration
Road accidents claim thousands of lives every year because emergency services often receive information too late. Existing CCTV systems only record footage and require continuous human monitoring. We wanted to build an intelligent system that can automatically detect accidents and traffic-related incidents in real time, helping authorities respond faster and making roads safer.
What it does
Sentinel AI is an AI-powered road monitoring system that continuously analyzes live CCTV video streams using YOLO11. The system can: Detect road accidents Monitor traffic congestion Count vehicles and pedestrians Perform crowd/head counting Generate instant emergency alerts Display live analytics on a monitoring dashboard Support multiple CCTV cameras simultaneously By automating surveillance, Sentinel AI reduces human effort and improves emergency response time.
How we built it
The system captures live video from CCTV cameras. Each video frame is processed using YOLO11 and OpenCV, where AI identifies vehicles, pedestrians, accidents and crowd density. The detected information is sent to a backend server where alerts are generated whenever an accident or abnormal situation is identified. A live dashboard displays: Camera feeds Detection results Incident statistics Alerts Analytics All detected incidents are securely stored for future analysis.
Challenges we ran into
Processing live video with minimal delay Achieving accurate accident detection Handling multiple objects simultaneously Reducing false detections Optimizing performance for real-time monitoring Designing an easy-to-use dashboard
Accomplishments that we're proud of
Successfully integrated AI with real-time CCTV monitoring Built a complete accident detection workflow Designed a professional live monitoring dashboard Implemented automatic emergency alert generation Created a scalable architecture suitable for smart cities
What we learned
Through this project we learned: Computer Vision YOLO11 Object Detection OpenCV Real-time video processing AI-based surveillance systems Dashboard development Team collaboration Smart city technologies
What's next for Untitled
We plan to expand Sentinel AI into a scalable smart city platform by integrating emergency services, AI-based traffic signal optimization, Automatic Number Plate Recognition (ANPR), predictive analytics, cloud deployment, mobile applications, and advanced traffic violation detection to improve road safety and emergency response.
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