Build Vision AI on LUCID Vision Labs Cameras

From IP67 Triton GigE cameras to Helios2 time-of-flight 3D, LUCID builds factory-tough hardware. Roboflow turns frames into inspection, detection, and tracking your team owns.

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LUCID Vision Labs Cameras AI Vision Solution

LUCID Vision Labs builds industrial cameras for the factory floor: compact, IP67-rated, and standards-based. Roboflow is the best way to make physical systems intelligent. Train a model on your own images, deploy it at the edge, and start making decisions from LUCID's image stream in minutes.

The Triton series (opens in a new tab) is our top recommendation for most computer vision applications. Triton cameras pack Sony Pregius and Starvis sensors from 0.4 MP to 24.5 MP into a 29 x 29 x 45 mm body with M12 GigE PoE connectors, and reach IP67 protection with the sealed lens tube. Need more bandwidth? Triton2 (opens in a new tab) moves to 2.5GigE and Atlas (opens in a new tab) to 5GigE (opens in a new tab) and beyond for high-resolution, high-frame-rate lines.

• Attributes: Compact, IP67 rated, factory tough

• Resolution: 0.4 MP to 24.5 MP across Triton models

• Connectivity: GigE Vision PoE (1, 2.5, 5, and 10GigE), M12 connectors

LUCID also goes beyond standard 2D imaging. The Helios2 time-of-flight cameras (opens in a new tab) deliver sub-millimeter 3D depth for bin picking, dimensioning, and robot guidance, while Triton polarization, SWIR, and HDR variants capture what a standard RGB sensor cannot. Every LUCID camera follows the GigE Vision and GenICam standards, so it plugs into a Roboflow 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 LUCID Vision Labs Cameras Workflows

Use LUCID cameras? Explore Workflows you can get started with to create computer vision apps in minutes. Easily deploy computer vision models with Roboflow Inference and LUCID 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 LUCID Cameras with AI

LUCID Triton, Atlas, and Helios2 cameras can be used for computer vision tasks such as object detection, classification, and image segmentation. They integrate with vision AI pipelines through standard GigE Vision and GenICam protocols and the Arena SDK's Python bindings, and pair well with an NVIDIA Jetson for running computer vision models at the edge.

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