Manobela

Mobile app for driver monitoring using computer vision
Docs · Website · API · Report Bug · Request Feature

About The Project

Manobela is a real-time driver monitoring system that uses computer vision to detect unsafe driving behaviors with only a mobile phone.

Learn more by visiting the website or the documentation.

Built With

Features

• Face and object detection: Real-time tracking of facial landmarks and objects.
• Eye closure detection: Monitors drowsiness and triggers alerts.
• Yawn detection: Detects fatigue to prevent unsafe driving.
• Head pose tracking: Identifies distraction through head movement.
• Gaze direction monitoring: Checks if the driver is looking at the road.
• Phone usage detection: Alerts when the driver uses a phone.
• Live video streaming: WebRTC-based real-time streaming.
• Offline video analysis: Processes recorded sessions for insights.
• Real-time alerts: Audio, haptic, and visual notifications for unsafe behavior.
• Session logging: Tracks driving activity and performance metrics.
• Analytics dashboard: Visualizes driving patterns and metrics.
• Maps integration: Navigation, routing, and location-based analytics.
• Customizable settings: Adjust thresholds, alerts, and monitoring preferences.

Screenshots

Project Structure

.
├── backend/  # FastAPI backend
└── mobile/   # Expo React Native mobile app
└── website/  # Next.js website
└── docs/     # Documentation

Setup

• Backend setup
• Mobile setup
• Website setup

Contributing

Contributions are welcome!

See CONTRIBUTING.md for more information.

Top contributors

License

Distributed under the Apache License 2.0.