Automated Vision Inspection — AI Defect Detection

In high-speed manufacturing, quality defects that escape the production floor cost 10-100x more to address downstream — through recalls, warranty claims, and customer dissatisfaction. Traditional vision systems based on rule-based image processing struggle with natural product variation, changing lighting conditions, and novel defect types they were not explicitly programmed to detect. The result is either excessive false rejects that waste good product or missed defects that reach customers. Opsio's automated vision inspection systems use deep learning models trained on your specific products and defect categories. Unlike rule-based systems that require explicit programming for every defect type, our AI models learn the visual signature of acceptable and defective products from labelled examples — generalising to detect previously unseen defect variations. We deploy on NVIDIA Jetson, Intel OpenVINO, or AWS Panorama edge hardware for sub-50ms inference directly on the production line, eliminating cloud latency and connectivity dependencies.

Each vision inspection system is engineered end-to-end: camera selection (line scan, area scan, 3D profiling), lighting design (backlighting, structured light, dome illumination), mounting and triggering, edge computing hardware, model training and validation, PLC integration, and ongoing accuracy monitoring. The result is a turnkey inspection station that integrates seamlessly with your existing production line infrastructure.