Real-Time Satellite Imagery Analysis

A defense intelligence agency required near-real-time analysis of satellite imagery to detect changes in adversary military installations. Traditional manual analysis took days; they needed minutes. We built a distributed computer vision pipeline using custom-trained object detection models optimized for overhead imagery. The system processes 2TB of imagery daily, detecting and classifying 50+ object types with 40ms inference latency and 97.3% accuracy.