Multi-Camera Synchronization for Vision AI on Every Angle

Multi-Camera Synchronization AI Vision Solution

GigE Vision 2.0 cameras that support PTP (IEEE 1588) elect a master clock and share one system time. A scheduled action command then fires every camera at the same moment over Ethernet, instead of a trigger cable run to each camera, and with PoE a single cable carries power, control, images, and sync. Teams use it to stitch views from several cameras into one image of a part, inspect every side of a product at once, and capture sports and motion from many angles.

• PTP cameras: LUCID Phoenix and Triton GigE cameras support PTP and scheduled action commands, and in LUCID's own seven-camera test frame timestamps landed within about 9 µs of each other (LUCID cameras with Roboflow)
• Shared hardware trigger: one trigger source wired to every camera's digital input, for cameras without PTP

How Roboflow Works with Synchronized Cameras

• Collect: Upload images from every camera position to Roboflow, so the model learns each view
• Label and train: Label defects or objects across all the views and train one model such as RF-DETR on them together
• Deploy: Roboflow Inference takes several camera streams in one pipeline from your GigE Vision cameras and hands your logic the matching frames from each camera together, in camera order, so a part passes only when every side passes, then sends the result to your PLC

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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, with no separate camera, lighting, or edge computer to spec.