Industrial visual quality inspection defect detection system architecture diagram

This diagram illustrates the cloud-edge collaborative architecture of an industrial vision-based defect detection system. The system is divided into a cloud platform layer, an edge computing layer, and an edge device layer. Data is collected at the edge via industrial cameras and sensors, and transmitted to the edge layer via a high-speed bus for image preprocessing and real-time AI inference. The edge layer contains defect classification algorithms and alarm output modules, and uploads the results to the cloud via MQTT. The cloud is responsible for model training, data annotation, and remote monitoring, achieving a closed-loop process from edge data acquisition and processing to cloud management.