How to Deploy Computer Vision Models to a Raspberry Pi

Roboflow aims to streamline the computer vision process by simplifying tasks such as image collection, labeling, dataset annotation, model training, and deployment, allowing users to focus on business-specific problems rather than infrastructure. They offer versatile deployment options, including cloud, web browsers, smartphone apps, and edge devices like Raspberry Pi, NVIDIA Jetson, and Luxonis OAK. For Raspberry Pi deployment, users need a Raspberry Pi 4 or 400 running 64-bit Ubuntu, with Docker installed to set up an inference server. This server, accessible at localhost:9001, allows users to run models and workflows on images, videos, and live streams using Roboflow Inference. The platform supports over 7000 pre-trained models, enabling users to quickly build vision-powered applications, and provides a detailed guide for setting up the system and deploying workflows.