Lessons from an autonomous computer vision system on the air-gapped edge

Red Hat Summit demonstration booth featuring a model train track, edge computing hardware, monitoring displays, and supporting infrastructure used to demonstrate AI-driven automation at the edge.Many AI demos stop at detection. A dashboard highlights an object, a model produces a classification, or a graph updates in real time. Those are valuable building blocks, but operational environments often require something more immediate—systems that can react locally, autonomously, and in near time.Using the Red Hat edge portfolio, we set out to explore…

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