📷 AI Camera Detection

A $35 board. AI detection. Zero cloud.

Deploy camera firmware to an Orange Pi or Raspberry Pi via SSH from the Firmware tab. Each node runs YOLOv8n for object detection and Depth-Anything-V2 for monocular depth — entirely on-device. The orchestrator receives bounding boxes and converts them to stage coordinates for beam targeting and tracking.

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What you get

YOLOv8n ONNX model (12 MB) with 16 configurable detection classes
Per-camera config: classes, FPS, confidence threshold, TTL, re-ID distance
Depth-Anything-V2 monocular depth for 3D point clouds
ArUco marker detection for camera intrinsic calibration
Homography-based pixel-to-stage coordinate mapping
Live snapshot preview with bounding box overlay in the SPA
Multi-camera support via V4L2 USB cameras (auto-filters SoC nodes)
Systemd service (slyled-cam) for auto-start on boot
SSH+SCP firmware deployment from the desktop Firmware tab
Per-camera fixtures with independent FOV, calibration, and position

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Download SlyLED free. MIT licence. No subscription, no account, no cloud.

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A $35 board. AI detection. Zero cloud.

What you get

Screenshots

Ready to try it?