15/07/2026
Raspberry Pi is a common target for practical computer vision. It can sit next to a camera, inside a prototype, near a machine, on a lab bench, or in a small service that needs to run without a workstation nearby.
Friends of ours from Intel and Ultralytics created a guide showing you how to deploy Ultralytics YOLO computer vision models on Raspberry Pi with OpenVINO.
Follow the link to learn how the runtime is installed, how models become deployment artefacts, how compilation and caching affect startup, and how builds become repeatable.
A practical guide to deploying Ultralytics YOLO computer vision models at the edge with Raspberry Pi and OpenVINO.