diff --git a/PROJECT_COMPLETE.md b/PROJECT_COMPLETE.md new file mode 100644 index 0000000..33f5bf9 --- /dev/null +++ b/PROJECT_COMPLETE.md @@ -0,0 +1,207 @@ +# 🎉 USDA Vision Camera System - PROJECT COMPLETE! + +## ✅ Final Status: READY FOR PRODUCTION + +The USDA Vision Camera System has been successfully implemented, tested, and documented. All requirements have been met and the system is production-ready. + +## 📋 Completed Requirements + +### ✅ Core Functionality +- **MQTT Integration**: Dual topic listening for machine states +- **Automatic Recording**: Camera recording triggered by machine on/off states +- **GigE Camera Support**: Full integration with python demo library +- **Multi-threading**: Concurrent MQTT + camera monitoring + recording +- **File Management**: Timestamp-based naming in organized directories + +### ✅ Advanced Features +- **REST API**: Complete FastAPI server with all endpoints +- **WebSocket Support**: Real-time updates for dashboard integration +- **Time Synchronization**: Atlanta, Georgia timezone with NTP sync +- **Storage Management**: File indexing, cleanup, and statistics +- **Comprehensive Logging**: Rotating logs with error tracking +- **Configuration System**: JSON-based configuration management + +### ✅ Documentation & Testing +- **Complete README**: Installation, usage, API docs, troubleshooting +- **Test Suite**: Comprehensive system testing (`test_system.py`) +- **Time Verification**: Timezone and sync testing (`check_time.py`) +- **Startup Scripts**: Easy deployment with `start_system.sh` +- **Clean Repository**: Organized structure with proper .gitignore + +## 🏗️ Final Project Structure + +``` +USDA-Vision-Cameras/ +├── README.md # Complete documentation +├── main.py # System entry point +├── config.json # System configuration +├── requirements.txt # Python dependencies +├── pyproject.toml # UV package configuration +├── .gitignore # Git ignore rules +├── start_system.sh # Startup script +├── setup_timezone.sh # Time sync setup +├── test_system.py # System test suite +├── check_time.py # Time verification +├── test_timezone.py # Timezone testing +├── usda_vision_system/ # Main application +│ ├── core/ # Core functionality +│ ├── mqtt/ # MQTT integration +│ ├── camera/ # Camera management +│ ├── storage/ # File management +│ ├── api/ # REST API server +│ └── main.py # Application coordinator +├── python demo/ # GigE camera library +├── storage/ # Recording storage +│ ├── camera1/ # Camera 1 recordings +│ └── camera2/ # Camera 2 recordings +└── old tests/ # Archived development files +``` + +## 🚀 How to Deploy + +### 1. Clone and Setup +```bash +git clone https://github.com/your-username/USDA-Vision-Cameras.git +cd USDA-Vision-Cameras +uv sync +``` + +### 2. Configure System +```bash +# Edit config.json for your environment +# Set MQTT broker, camera settings, storage paths +``` + +### 3. Setup Time Sync +```bash +./setup_timezone.sh +``` + +### 4. Test System +```bash +python test_system.py +``` + +### 5. Start System +```bash +./start_system.sh +``` + +## 🌐 API Integration + +### Dashboard Integration +```javascript +// React component example +const systemStatus = await fetch('http://localhost:8000/system/status'); +const cameras = await fetch('http://localhost:8000/cameras'); + +// WebSocket for real-time updates +const ws = new WebSocket('ws://localhost:8000/ws'); +ws.onmessage = (event) => { + const update = JSON.parse(event.data); + // Handle real-time system updates +}; +``` + +### Manual Control +```bash +# Start recording manually +curl -X POST http://localhost:8000/cameras/camera1/start-recording + +# Stop recording manually +curl -X POST http://localhost:8000/cameras/camera1/stop-recording + +# Get system status +curl http://localhost:8000/system/status +``` + +## 📊 System Capabilities + +### Discovered Hardware +- **2 GigE Cameras**: Blower-Yield-Cam, Cracker-Cam +- **Network Ready**: Cameras accessible at 192.168.1.165, 192.168.1.167 +- **MQTT Ready**: Configured for broker at 192.168.1.110 + +### Recording Features +- **Automatic Start/Stop**: Based on MQTT machine states +- **Timezone Aware**: Atlanta time timestamps (EST/EDT) +- **Organized Storage**: Separate directories per camera +- **File Naming**: `camera1_recording_20250725_213000.avi` +- **Manual Control**: API endpoints for manual recording + +### Monitoring Features +- **Real-time Status**: Camera and machine state monitoring +- **Health Checks**: Automatic system health verification +- **Performance Tracking**: Recording metrics and system stats +- **Error Handling**: Comprehensive error tracking and recovery + +## 🔧 Maintenance + +### Regular Tasks +- **Log Monitoring**: Check `usda_vision_system.log` +- **Storage Cleanup**: Automatic cleanup of old recordings +- **Time Sync**: Automatic NTP synchronization +- **Health Checks**: Built-in system monitoring + +### Troubleshooting +- **Test Suite**: `python test_system.py` +- **Time Check**: `python check_time.py` +- **API Health**: `curl http://localhost:8000/health` +- **Debug Mode**: `python main.py --log-level DEBUG` + +## 🎯 Production Readiness + +### ✅ All Tests Passing +- System initialization: ✅ +- Camera discovery: ✅ (2 cameras found) +- MQTT configuration: ✅ +- Storage setup: ✅ +- Time synchronization: ✅ +- API endpoints: ✅ + +### ✅ Documentation Complete +- Installation guide: ✅ +- Configuration reference: ✅ +- API documentation: ✅ +- Troubleshooting guide: ✅ +- Integration examples: ✅ + +### ✅ Production Features +- Error handling: ✅ +- Logging system: ✅ +- Time synchronization: ✅ +- Storage management: ✅ +- API security: ✅ +- Performance monitoring: ✅ + +## 🚀 Next Steps + +The system is now ready for: + +1. **Production Deployment**: Deploy on target hardware +2. **Dashboard Integration**: Connect to React + Supabase dashboard +3. **MQTT Configuration**: Connect to production MQTT broker +4. **Camera Calibration**: Fine-tune camera settings for production +5. **Monitoring Setup**: Configure production monitoring and alerts + +## 📞 Support + +For ongoing support: +- **Documentation**: Complete README.md with troubleshooting +- **Test Suite**: Comprehensive diagnostic tools +- **Logging**: Detailed system logs for debugging +- **API Health**: Built-in health check endpoints + +--- + +**🎊 PROJECT STATUS: COMPLETE AND PRODUCTION-READY! 🎊** + +The USDA Vision Camera System is fully implemented, tested, and documented. All original requirements have been met, and the system is ready for production deployment with your React dashboard integration. + +**Key Achievements:** +- ✅ Dual MQTT topic monitoring +- ✅ Automatic camera recording +- ✅ Atlanta timezone synchronization +- ✅ Complete REST API +- ✅ Comprehensive documentation +- ✅ Production-ready deployment