Inspection AI
Inspection AI is an advanced contamination detection system designed to analyze and compare baseline floor images with real-time inspection captures, delivering highly accurate, automated insights. Powered by a combination of AWS Rekognition for object detection and AWS Bedrock with Qwen 3 VL for intelligent visual reasoning, the system brings human-like contextual understanding to image analysis. It identifies dirt, debris, and anomalies with precision, providing detailed explanations and confidence scores, while ensuring secure, scalable deployment for enterprise environments.
Built on a robust architecture using FastAPI, AWS S3, and asynchronous processing, the solution enables seamless data flow from image capture to analysis and reporting. Its multi-layer pipeline combines detection and reasoning to validate inspection areas, detect changes, classify contamination, and generate actionable insights. With features like auto-scaling infrastructure, multi-location support, and multi-language capabilities, Inspection AI significantly reduces manual effort while improving consistency, accuracy, and operational efficiency for facility management teams.
