How to Broadcast Computer Vision Predictions Over MQTT

MQTT, a widely supported protocol for data transfer in Internet of Things (IoT) devices and manufacturing execution systems (MES), can be used to broadcast computer vision predictions across a network. The guide demonstrates how to deploy a computer vision model, specifically a bottle cap inspection model, using Roboflow Inference, an open-source server, and broadcast its predictions via MQTT. It involves setting up an MQTT broker and using the Paho MQTT client to publish predictions from the model to the network. The process includes preparing a model with Roboflow, deploying it on a device like a webcam, and using Python code to send predictions to an MQTT broker. The setup allows real-time monitoring and customization of prediction broadcasts, enhancing manufacturing processes by integrating computer vision capabilities into the workflow.