AI based Road Accident Alert System

Inspiration

Road accidents remain a major cause of fatalities due to delayed detection and emergency response. Many accidents go unreported for critical minutes, especially on highways and remote roads. This inspired us to build an AI-driven system that can automatically detect accidents in real time and trigger instant alerts without human intervention.

What it does

The AI-Based Road Accident Alert System continuously monitors road conditions using camera feeds and sensor data. By applying machine learning and computer vision techniques, the system detects accident patterns such as sudden collisions, abnormal motion, or vehicle impact. Once an accident is identified, it automatically sends alerts with location details to emergency services for rapid response.

How we built it

We designed the system using a modular architecture: Data Collection Layer: Roadside cameras and simulated IoT sensors capture real-time data. AI Processing Layer: Machine learning models analyze video frames and sensor signals to detect crash anomalies. Decision Layer: A threshold-based validation confirms accidents to reduce false positives. Alert & Communication Layer: Automated alerts are generated and transmitted with GPS location details to emergency responders. The system is built to be scalable and adaptable for smart city and highway deployments.

Challenges we ran into

Handling false positives caused by sudden braking or sharp turns Limited access to real-world accident datasets for training Ensuring real-time processing with minimal latency Integrating multiple data sources reliably

Accomplishments that we're proud of

Successfully detecting accident-like events in real time Automated alert generation without human involvement Designing a scalable architecture suitable for smart cities Building a working AI-based safety solution within hackathon constraints

What we learned

Through this project, we gained hands-on experience in: Computer vision and machine learning for real-time systems Sensor data processing and anomaly detection System design for emergency-response applications Building impactful AI solutions focused on real-world problems 🔧 Built With (you can paste this too): Python, OpenCV, Machine Learning, Computer Vision, IoT Sensors (simulated), GPS, Cloud Services