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Product Introduction
Underwater AI Vision with a “Sense of Distance” ● OAK-D Trinocular Vision Core Module ● Trinocular Stereo Vision: Ranging and Scale Perception ● Supports SLAM / Obstacle Avoidance / Positioning |
Application Scenarios:
● Visual navigation for ROV / AUV / Unmanned Surface Vessels
● Autonomous obstacle avoidance and positioning
● Use a single sensor to perceive targets, size, and distance
Main Specifications
| Depth Rating | 300m |
| Mass in Air | |
| Mass in Water | |
| Module Model | OAK-D S2 PoE |
| Image Sensor | IMX378 |
| DFOV / HFOV / VFOV | 78° / 66° / 54° |
| Resolution | 12MP (4032×3040) |
| Max Frame Rate | 60 FPS |
| Focal Length | 4.81mm |
| Aperture | 1.8 ±5% |
| Focus Range | AF：8cm – ∞ |
| Lens Size | 1/2.3” |
| Pixel Size | 1.55µm x 1.55µm |
| Shutter | Rolling Shutter |
| Protocol | Ethernet |
| Input Voltage | 12VDC |
| Power Consumption | 3W~3.5W |
| Packing List | AI-D Underwater Camera *1, Standard 2m seawater-resistant cable, cable length customizable up to 70m, consult customer service for longer distances |
| Software Dev | ORS / Python/C++ |
Main Dimensions
Wiring Instructions
| Black | GND |
| Red | +12VDC |
| Blue | Reserve |
| Blue/White | Reserve |
| Green | Rx- |
| Green/White | Rx+ |
| Orange | Rx- |
| Orange/White | Rx+ |
Model Selection Guide
| Resolution | Zoom | Power | Communication | Target Recognition | Depth Perception | |
|---|---|---|---|---|---|---|
| RPI | 8MP | × | 12VDC / 15W | Ethernet | √
(Secondary Dev) |
× |
| GoPro | 27MP | × | 12VDC / 8W | Ethernet | × | × |
| AI-M | 1.55µm x 1.55µm | × | 12VDC / 3W | Ethernet | √ | × |
| AI-D | 1.55µm x 1.55µm | × | 12VDC / 3.5W | Ethernet | √ | √ |
| Zoom | Approx. 2.13MP | 20x Optical Zoom
12x Digital Zoom |
12VDC / 3.6W | BNC
(75Ω Coaxial) |
× | × |
| Observer | 4MP | 4x Optical Zoom
16x Digital Zoom |
12VDC /
PTZ Camera: 10W Camera + 4 Lights: 60W |
Ethernet | × | × |
