Vision AI for Orbbec Depth Cameras

Orbbec Gemini cameras give robots depth. Roboflow gives them understanding: detection, segmentation, and tracking layered on top of 3D.

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A truck trailer packed with cardboard boxes, one box highlighted with "next pick - 1.4 m", above a conveyor system.

Orbbec Cameras AI Vision Solution

Orbbec has become a default depth camera choice across robotics and logistics, absorbing much of the market that structured-light pioneers left behind. Depth answers where things are; Roboflow models answer what they are. Most real applications need both.

The Gemini 336 and 336L (opens in a new tab) are the newest stereo depth line, and the Gemini 335 remains a robotics standard with wide ecosystem support.

• Featured: Gemini 336 / 336L stereo depth cameras

• Standard: Gemini 335, widely deployed in robotics

• Connectivity: USB, with long-range and IP-rated variants

Run a Roboflow detection or segmentation model on the RGB stream, combine it with Orbbec depth, and your robot can identify, locate, and act on objects in one pipeline.

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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 Orbbec Cameras Workflows

Use Orbbec cameras? Explore Workflows you can get started with to create computer vision apps in minutes. Run detection and segmentation models with Roboflow Inference on the RGB stream and fuse results with Gemini depth data for robotics, picking, and logistics applications.

Deploy Object Detection Models on Edge Devices

How to Setup Orbbec Cameras with AI

Orbbec cameras can be used for computer vision tasks such as object detection and image segmentation alongside their depth sensing. They integrate through the Orbbec SDK and pair well with an NVIDIA Jetson for running computer vision models at the edge.

  • 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.

  • 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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  • Rivian
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  • USG Corporation
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