Vision AI for The Imaging Source Cameras

Roboflow turns The Imaging Source 38 series' images into working detection and inspection models.

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Eight open product boxes on a production line, each containing a device, cable, and charger. AI flags one box for a missing accessory.

The Imaging Source Cameras AI Vision Solution

The Imaging Source has a foot in both worlds: industrial-grade USB3 and GigE cameras that are just as at home on a workbench prototype as on a production line. That makes it a natural match for Roboflow, where the same platform takes you from a first experiment to a deployed model.

The 38 series (opens in a new tab) is the current generation we recommend, with models like the DFK 38UX541 (USB3) and DFK 38GX304 (GigE) covering most computer vision applications.

• Series: 38 series USB3 and GigE (e.g., DFK 38UX541, DFK 38GX304)

• Attributes: Mid-market pricing, solid SDKs, maker-friendly documentation

• Connectivity: USB 3, GigE

Whether you’re prototyping a vision idea or scaling one onto a line, The Imaging Source cameras keep the hardware simple while Roboflow handles the models.

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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 The Imaging Source Cameras Workflows

Use The Imaging Source cameras? Explore Workflows you can get started with to create computer vision apps in minutes. Easily deploy computer vision models with Roboflow Inference and The Imaging Source cameras. Integrate AI by connecting to existing PLC and HMI solutions via standard protocols like MQTT or OPC-UA.

Deploy Object Detection Models on Edge Devices

How to Setup The Imaging Source Cameras with AI

The Imaging Source cameras can be used for computer vision tasks such as object detection and image segmentation. They integrate with vision AI pipelines through the IC Imaging Control SDK and standard GigE Vision protocols, and pair well with an NVIDIA Jetson for running computer vision models at the edge.

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