Edge AI means running machine learning inference on devices near the sensors or machines, not only in a distant cloud region. NVIDIA Jetson modules are compact computers optimized for that job: they accelerate vision and other models on the factory floor, vehicle, or site gateway where milliseconds and intermittent connectivity matter.
For manufacturing lines, edge inference keeps defect decisions inside the takt time and continues when the WAN drops. Cloud remains useful for training, fleet updates, and aggregated analytics. Codoop deploys Jetson-class pipelines with model packaging, device monitoring, and plant integrations so edge AI is maintainable infrastructure, not a one-off prototype taped to a camera.
Related: /iot-manufacturing-services/computer-vision-lines