We go beyond the barcode to talk about machine vision and machine learning (ML) with Edge IoT- the combination of edge computing and IoT technology, which is used to prevent “missing in action” items in inventory, intercept shipments before heading to the wrong destination, automate parts picking and more, while creating instantaneous communication among the manufacturing floor and related systems. We’ll discuss ML basics, how vision ML is being used in manufacturing, how ADLINK Edge with AWS IoT Greengrass uses Intel IA for ML at the edge, and tips to getting started. Hear from ADLINK Technology, the leaders in edge computing, and Amazon Web Services (AWS), the leaders in cloud computing, to learn how easy it is when they come together with Intel for vision-based manufacturing initiatives.
Topics: Edge IoT for vision ML basics & tips. Different ways vision ML is being used in manufacturing including smart pallets, automated parts picking, anomaly detection and robotics. How ADLINK Edge with AWS IoT Greengrass ML is leveraging IA OpenVINO and Movidius Myriad-X to accelerate AI vision at the edge.
Field CTO IoT Solutions & Technology,
Senior AI/ML Specialist Solutions Architect,
Amazon Web Services
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