popcorn-prophets
manobela
TypeScript

Mobile app for driver monitoring using computer vision

Last updated Jul 23, 2026
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Manobela

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

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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.

Preview

Built With

Python FastAPI OpenCV MediaPipe YOLO ONNX WebRTC

TypeScript React Expo Drizzle TailwindCSS Next.js

Docker Vercel Render Azure

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

Monitoring Insights Insights session Uploads Maps Settings

Project Structure

.
โ”œโ”€โ”€ backend/  # FastAPI backend
โ””โ”€โ”€ mobile/   # Expo React Native mobile app
โ””โ”€โ”€ website/  # Next.js website
โ””โ”€โ”€ docs/     # Documentation

Setup

Contributing

Contributions are welcome!

See CONTRIBUTING.md for more information.

Top contributors

License

Distributed under the Apache License 2.0.

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