OAK-D HD Camera Development Kit, OpenCV AI Machine Vision Kit

SKU: 19456
Part Number: OAK-D


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* This product has been discontinued, it is recommended to purchase the alternative solution: OAK-D-S2.
OAK-D HD camera development kit, OpenCV AI machine vision kit
OAK-D OpenCV AI Machine Vision Kit

depth measuring / image recognition & location / safety & security monitoring
intelligent driving / robotics / object tracking

Depth measuring range 0.2 ~ 9 m
Depth camera global shutter
RGB camera 12MP
max framerate 60fps (RGB), 200fps (Depth)
AI chip Intel Myriad X 4TOPS computing performance
Video plug flow 4K 30 fps H.265 plug flow
Connector USB3.0 Type-C
Expansion interfaces GPIO, SPI, UART
NN platform support all platforms
Power consumption avg 2.5W
Development language Python, C++
Eclosure aluminum enclosure
Weight 115g

powerful computing performance

the OAK provides up to 4TOPS computing performance,
10 times of OpenMV, 40 times of Raspberry Pi 4B

camera specifications
use free neural networks
or create your own

The OAK adopts Myriad X for binocular depth calculating as well as AI neural inference, then providing direct outputs like target coordinates, IMU data, recognition results, and so on. More other functions can be achieved by calling the API, which allows you to build your own system easier.

Extensive applications

the OAK can be widely used thanks to its rich functions and technologies,
it will upgrade your project to the next level by enabling the computer vision feature

Intelligent traffic
Detection and recognition for motor vehicles, non-motor vehicles, pedestrians, traffic signs, traffic events...

Intelligent driving
Recognizing and ranging around vehicles and road conditions, recognizing the driver status and providing intelligent assistance.

Intelligent safety & security
The neural network keeps learning new sudden human body features and event accidents, providing intelligent detection and giving alarm for human abnormal behaviors and accidents.

Used on industrial robots field, enabling robot functions like target identification, positioning, size measuring, binocular depth mapping, navigation...

Math contest
Suitable for teaching competitions like robotic vision, OpenCV, AI IoT projects, Python programming, and so on.

Platform & language support
Framework & neural network support
Working with tripod
for reference only, the Mini Tripod is NOT included.
Outline dimensions
Resources & Services
Wiki: OAK-D

Weight: 0.418 kg

Quick Overview

  1. OAK-D x1
  2. USB3.0 type-C cable ~1m x1
  3. Clean cloth x1
  4. 5V 3.0A power supply x1