Underwater OAK Monocular AI Camera in waterproof housing - Close Front View

Product Introduction

AI-Powered Vision Below the Surface: More than Just Video Stream

Direct Metadata: Real-time stream of actionable data—objects, coordinates, and triggers—reducing network load.
On-Device AI: High-speed inference processing with zero host CPU impact.
Developer Ecosystem: Ready for custom integration via ROS, Python, and C++.
Ultra-Wide Vision: Cover more with fewer cameras.

Application Scenarios:

Direct Visual Feature Output
Computing Decoupling
Rapid Integration and Deployment of ROV Vision Modules

Underwater OAK Monocular AI Camera in waterproof housing - Side View

Main Specifications

Depth Rating	300 m
Weight in Air \| Water	0.3 kg \| 0.15 kg
Camera Model	OAK-1-W
Image Sensor	IMX 378
Field of View (FOV)	120°D/95°H/70°V
Resolution	12 MP (4032×3040)
Max Frame Rate	60 FPS
Focal Length	4.81 mm
Aperture	2.8 ±5%
Focus Range	FF: 60 cm – ∞
Lens Size	1/2.3 inch
Pixel Size	1.55µm x 1.55µm
Shutter Type	Rolling Shutter
Protocol	Ethernet
Power Supply	5 or 12VDC, approx. 2.5W~3W
Packing List	AI-M Subsea Camera *1, Standard 2m seawater-resistant cable (Length customizable up to 70m, contact customer service for longer distances)
Software Dev	ROS / Python / C++

Main Dimensions

Wiring Instructions

Grey	/
Grey/ White	/
Blue	GND
Blue/White	+5VDC (Camera Power)
Green	DATA-
Green/White	DATA+
Orange	/
Orange/White	/

Subsea Cameras Selection Guide

	Resolution	Zoom	Power	Communication	Target Recognition	Depth Perception
Subsea Open-AI Cam	8MP	×	12VDC / 15W	Ethernet	√ (Secondary Dev)	×
Subsea HD Action Cam	27MP	×	12VDC / 8W	Ethernet	×	×
Subsea Monocular AI Cam	12MP	×	5 or 12VDC / 3W	Ethernet	√	×
Subsea Stereo Depth AI Cam	12MP	×	PoE / 5.5W	Ethernet	√	√
Subsea Optical Zoom Cam	2.13MP	30x Optical Zoom 12x Digital Zoom	12VDC / 5.4W	BNC (75Ω Coaxial)	×	×
Subsea PTZ 360° Cam	4MP	4x Optical Zoom 16x Digital Zoom	12VDC / PTZ Camera: 10W Camera + 4 Lights: 60W	Ethernet	×	×

Subsea Monocular AI Camera - Data Sheet

The Monocular AI Camera utilizes the OAK-1-W, which offers limited scope for secondary development. For greater flexibility in developing your own subsea AI algorithms and User Interface, please explore the subsea Open AI camera with Linux/opencv/python as its framework.