How to Deploy Computer Vision Behind a Data Diode

To run computer vision behind a data diode, run Roboflow Inference inside the protected network with Enterprise Offline Mode, so models and Workflows load from a local cache and images never leave the site. Publish results to a local MQTT broker and forward them across the diode as a one-way stream to a second broker, and send a regular heartbeat so the far side can tell the system is healthy. A data diode lets a computer vision system send inspection results out of a protected network while preventing traffic from returning through the same connection. A factory can share defect counts, production metrics, and equipment status with external systems while keeping camera feeds, model execution, and production controls inside its own environment. Deploying computer vision behind a data diode requires every part of the application to work with that one-way boundary. Models need to load from local files. Licensing needs a plan for disconnected operation. Monitoring must report health outward, and messaging cannot depend on acknowledgements from the other side. A fully air-gapped deployment has no external network connection; a data diode provides a controlled one-way link. Roboflow Inference (opens in a new tab) gives teams a way to run…