Build Vision AI with Raspberry Pi Cameras

The fastest way from a Raspberry Pi to a working computer vision project: train a model on your own images with Roboflow.

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An AI-detected goldfinch and several sparrows feed from a bird feeder.

Raspberry Pi Cameras Computer Vision Solution

More people start computer vision on a Raspberry Pi than on any other hardware, and the camera lineup has never been better suited to it. Roboflow is the natural companion: label your images, train a model, and deploy it to the Pi in an afternoon.

The Raspberry Pi AI Camera (opens in a new tab) is the one to feature: a 12 MP Sony IMX500 sensor that runs inference on the sensor itself, so detection happens before a frame ever reaches the Pi. The Camera Module 3 remains the budget pick for classic capture-then-infer projects.

• Featured: Raspberry Pi AI Camera (Sony IMX500, 12 MP, on-sensor inference)

• Budget: Camera Module 3

• Connectivity: CSI ribbon, works with recent Raspberry Pi boards

From wildlife monitors to parts counters to classroom projects, a Pi camera plus a Roboflow model is the shortest path from idea to something that actually works.

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Want AI without the integration work? Roboflow’s AI1 deployment device (opens in a new tab) packages onboard AI compute, integrated lighting, and an industrial camera into a plug-and-play system for real-time computer vision - no separate camera, lighting, or edge computer to spec.

AI for Raspberry Pi Cameras Workflows

Use a Raspberry Pi camera? Explore Workflows you can get started with to create computer vision apps in minutes. Roboflow Inference runs directly on Raspberry Pi, so you can train a model on your own data and run detection, classification, or segmentation right on the board.

Deploy Object Detection Models on Edge Devices

How to Setup Raspberry Pi Cameras with AI

Raspberry Pi cameras can be used for computer vision tasks such as object detection and classification. Roboflow Inference runs on the Pi itself, and the AI Camera's on-sensor compute can run models directly, keeping latency and power draw low.

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