The Smart Helmet is a wearable safety device designed to protect and assist users in high-risk environments such as motorcycling, construction, and industrial work. It integrates sensors, AI, and cloud connectivity to detect accidents, monitor drowsiness, and provide real-time alerts.
This project was developed for a 24-hour hackathon, focusing on accuracy, explainability, and demo-ready visualization to impress judges with both technical depth and societal impact.
✨ Features
Impact Detection: Accelerometers and gyroscopes detect crashes or falls.
Emergency Alerts: Sends GPS location and status to emergency contacts.
Drowsiness Monitoring: Eye-tracking cameras + ML models to detect fatigue.
Environmental Awareness: Gas, temperature, and air-quality sensors.
Connectivity: Bluetooth/Wi-Fi for communication and navigation.
Explainable AI: Heatmaps and anomaly visualization for transparency.
Dashboard UI: Real-time sensor data displayed via Streamlit/React.
⚙️ System Architecture
Hardware Layer
Helmet with sensors (accelerometer, gyroscope, camera, gas sensor).
Raspberry Pi/Arduino for edge data collection.
AI Layer
Drowsiness detection using OpenCV + dlib.
Anomaly detection with deep learning models.
Visualization with heatmaps for explainability.
Cloud Integration
Azure/GCP for storage, dashboards, and emergency notifications.
APIs built with FastAPI/Flask for backend services.
Frontend
Streamlit/React dashboard for judges and demo interaction.
