The train-in-cloud, infer-on-edge pattern is becoming the default architecture for AI-based defect detection — but only if you treat the handoff, the latency budget, and drift monitoring as line-side engineering problems, not data science afterthoughts.
Read MoreTrain in the Cloud, Infer at the Edge: A Practitioner’s Guide to Deploying Vision Models on the Line
