Vision AI for Arducam Camera Modules

Arducam makes a camera module for nearly every embedded board. Roboflow makes the models that run behind them.

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Arducam Cameras AI Vision Solution

Arducam has become a camera catalog for embedded vision builders: if a board exists, Arducam probably makes a module for it. That breadth pairs well with Roboflow, where one platform trains and deploys the models behind whichever module your project uses.

For Raspberry Pi builds, the 16 MP IMX519 autofocus module (opens in a new tab) is a reliable pick; for NVIDIA Jetson, the IMX477-based HQ camera board is the workhorse. Both feed clean frames to computer vision models running at the edge.

• For Raspberry Pi: 16 MP IMX519 autofocus module

• For Jetson: IMX477 HQ camera board

• Attributes: Huge catalog, embedded-first, budget-friendly

Prototype with an Arducam module, train a model on your own images with Roboflow, and the same pipeline scales when your project graduates to production hardware.

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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 Arducam Cameras Workflows

Use Arducam modules? Explore Workflows you can get started with to create computer vision apps in minutes. Roboflow Inference runs on Raspberry Pi and NVIDIA Jetson, so Arducam modules on either board can feed real-time detection, classification, and tracking.

Deploy Object Detection Models on Edge Devices

How to Setup Arducam Cameras with AI

Arducam modules can be used for computer vision tasks such as object detection and classification. They connect over CSI to Raspberry Pi and Jetson boards, where Roboflow Inference runs models trained on your own data.

  • Meet Roboflow AI1 (opens in a new tab)

    AI1 packages onboard AI compute, integrated lighting, and an industrial camera into one plug-and-play vision system.

  • Text: AI Quality Inspection with Existing Cameras. Image shows products on a conveyor belt, one marked with "surface-imperfection". Roboflow logo visible.

    How to Use Your Current Cameras for AI

    Almost any IP camera that supports RTSP, HTTP-MJPEG, ONVIF, or RTMP can feed a computer vision pipeline, meaning teams in manufacturing, retail, or logistics rarely need to replace hardware to start running models on live video.

  • The Vision AI Center of Excellence Blueprint

    A playbook for turning vision AI into a capability your own teams run, with a maturity model, the three CoE roles, and a 10-question diagnostic.

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