Industrial Edge Insights - Vision#
Vision apps enable AI-powered real time monitoring for quality control purposes. Their use cases cover detecting deviations and anomalies in manufacturing processes by running inference workflows across multiple AI models on video feeds from visual monitoring systems located on-site, all operating efficiently on a single industrial PC.
Pallet Defect Detection, PCB Anomaly Detection, Weld Porosity and Worker Safety Gear Detection seamlessly combine multiple microservices to provide real-time video analysis enhancing quality control and compliance of manufacturing processes. Using AI-driven real-time analytics, edge devices can detect manufacturing defects, safety risks and worker compliance issues, that could impact quality, efficiency and safety of manufacturing operations.
Real-time visual monitoring of pallet condition.
Real-time visual detection of anomalies in printed circuit boards.
Real-time visual detection of welding defects.
Real-time visual monitoring of worker safety gear.