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Application de détection d'objets en temps réel pour iPhone utilisant TensorFlow.js et COCO-SSD

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w3spi5/realtime-object-detection

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🌟 Real-Time Object Detection App

A Progressive Web Application (PWA) for real-time object detection using your smartphone camera, powered by TensorFlow.js and the COCO-SSD model.

🚀 Features

  • 📷 Real-time object detection via smartphone camera
  • 📸 Screenshot capture with detected object annotations
  • 🌐 Cross-browser support (Safari, Chrome, Firefox)
  • 📱 Responsive and intuitive design
  • 🖥️ Fullscreen mode for enhanced experience
  • Optimized performance management
  • 📶 Offline support (PWA)

📋 Version History

Check out our CHANGELOG.md to see the evolution of the project, detailed improvements, and version-specific changes.


✅ Requirements

  • 📲 A smartphone with a camera
  • 🌍 A modern web browser supporting WebRTC
  • 🔒 HTTPS connection (required for camera access)

📸 Screenshot Feature (added in v2)

  • Capture images with real-time object detection
  • Instant download of annotated screenshots
  • Compatible with all detected objects

🛠️ Development Workflow

  • main branch: Production-ready code
  • develop branch: Development work in progress
  • feature/* branches: New feature development

🤝 Contributing

Contribute to improve the app! Here's how:

  1. 🌿 Create a branch from develop.
  2. 💡 Develop your feature.
  3. 📩 Submit a Pull Request.

📜 License

This project is licensed under the MIT License.
🔗 Read the License Here

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Application de détection d'objets en temps réel pour iPhone utilisant TensorFlow.js et COCO-SSD

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