🤖 AI Object Recognition System
Intelligent Auto-Adjusting Detection & Tracking
This system automatically optimizes detection parameters based on:
- Image/video size and complexity
- Available system resources
- Video duration and frame rate
No manual tuning required!
Automatic Image Analysis
Upload any image and the system will:
- Auto-adjust confidence thresholds
- Detect all visible objects
- Provide detailed statistics
The system will automatically optimize detection settings
Try these examples (upload your own images)
Automatic Video Analysis
Upload a video and the system will:
- Auto-calculate optimal frame sampling
- Adjust confidence based on video quality
- Optimize for available CPU resources
- Track objects across frames
Supports videos of any length! The system automatically scales processing.
The system will automatically:
- Analyze video properties
- Calculate optimal frame sampling
- Adjust detection thresholds
- Monitor system resources
🧠 How Auto-Adjustment Works
Image Mode:
- Small images (< 500K pixels): Lower confidence threshold for more detections
- Large images (> 2M pixels): Higher threshold to reduce false positives
Video Mode:
- Short videos (< 10s): Process more frames for detail
- Long videos (> 60s): Smart sampling to maintain performance
- Memory-aware: Adjusts based on available RAM
- Quality-adaptive: Balances speed vs accuracy automatically
📊 Technical Details:
- Model: DETR ResNet-50 (Detection Transformer)
- Dataset: COCO (80+ object categories)
- Optimization: CPU-friendly with intelligent resource management
- Supported Objects: People, vehicles, animals, furniture, electronics, food, and more
💡 Tips:
- The system works best with clear, well-lit images/videos
- All adjustments happen automatically - just upload and click!
- Processing time varies based on video length and system resources