SAM3 & Multimodal AI for US City Smart Entity Detection
Government & Urban Planning: Complex entity detection for zoning, property boundaries, and urban infrastructure across multiple US cities requiring high…
Client: US Municipal Government. Industry: Government & Urban Planning.
Challenge: Complex entity detection for zoning, property boundaries, and urban infrastructure across multiple US cities requiring high accuracy with real-time video processing capabilities
Solution: Fine-tuned SAM3 and Qwen multimodal models for smart entity detection in real-time video streams, finding thousands of entities across US cities. Custom training on city-specific data with edge compute deployment for next-phase real-time processing
Technologies: SAM3, Qwen, Fine-tuned Models, Edge Compute, Real-time Video AI, PyTorch.
- Detection Accuracy: 98.7%
- Entities Detected: 1000s in real-time
- Processing Speed: Real-time video
- Cities Deployed: 12+