OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition

SKU: 22642
Part Number: OAK-D-S2

$269.99
$267.992+
$266.993+
$266.594+

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OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition
OAK-D-S2 OpenCV AI Machine Vision Kit

Depth Measuring / Image Recognition & Location / Safety & Security Monitoring
Intelligent Driving / Robotics / Object Tracking

OAK is an embedded, high-performance, 3D AI+CV platform consisting of an open-source hardware, firmware, software ecosystem that provides complete and ready-to-use embedded 3D AI + hardware-accelerated computer vision.

The OAK-D-S2 is an compact version of the OAK-D. Its functions, performance, and lenses are the same as OAK-D, but smaller in size and lighter in weight, and can be used in scenes where space is limited and requires high quality. In addition, OAK-D-S2 removes the 5V power port and has a larger depth measurement range than OAK-D in performance.

The OAK-D S2 is the series 2 of the OAK-D, which puts the VPU (Myriad X) directly on the board instead of on the SoM, making the products smaller and lighter. OAK-D-S2 combines depth perception, object detection (neural reasoning) and object tracking, and can help you achieve these functions with a simple and easy-to-use Python API. Onboard three cameras (a 4k/30fps RGB camera and two mono binocular cameras), BNO086 IMU and USB3 port, so you can access OAK via USB on PC, Raspberry Pi and other popular embedded hosts.



Specifications
DEPTH MEASURING RANGE 0.2 ~ 35 m
DEPTH CAMERA 1MP, global shutter
RGB CAMERA 12MP
MAX FRAMERATE 60fps (RGB), 120fps (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 2W ~ 5.5W
DEVELOPMENT LANGUAGE Python, C++
ECLOSURE aluminum enclosure
WEIGHT 91g

Powerful Computing Performance

The OAK Provides Up To 4TOPS Computing Performance
10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B

HD Camera
Parameter RGB Camera Binocular Camera
Sensor IMX378 OV9282
FOV 81°D / 69°H / 55°V 81°D / 72°H / 49°V
Resolution 12MP (4032×3040) 1MP (1280×800)
Max FPS 60 FPS 120 FPS
Focal Length 4.81 2.35
Aperture 2.0 2.2
Focus Range AF: 8cm ~ ∞ FF: 19.6cm ~ ∞
Lens Size 1/2.3″ 1/4″
Distortion < 1.0% < 1.5%
Pixel Size 1.55µm × 1.55µm 3µm × 3µm
Shutter Rolling Global

Stereo Vision

Perceive the real 3D world and give robots a pair of eyes



Computer Vision

Real-time data processing on the chip, low performance requirements on the host

Edge Detection

Feature Tracking

Artificial Intelligence

Run neural network models directly on the device and support your own models to OAK

Object Detection

Semantic Segmentation

OCR

Attitude detection

Better Compatibility

Supports almost all common platforms, programming languages, and neural network frameworks
(The OpenCV AI Kit Official plans to support Java and in progress)

Small body, Big Power

The core chip with 4 TOPS computing performance has built-in functions such as depth measurement, neural network inference acceleration, and OpenCV image processing acceleration. The development environment can be installed with one click, and it features open-source hardware similar to Raspberry Pi, massive application cases and free industrial-grade neural network pre-training models, so you can quickly design your own products.

Lightly Loaded CPU
The processing of artificial intelligence and depth vision on OAK can be completed on the chip without the involvement of the host.

Easy to Develop
It takes less than 30 seconds to run the 3D AI function of OAK.

Open Source Ecology
The hardware and software of OAK are open-source, allowing users to prototype and produce solutions with low risk.


Working With Tripod
for reference only, the Mini Tripod is NOT included.
Outline dimensions
Resources & Services

* Resources for different product may vary, please check the wiki page to confirm the actually provided resources.

Weight: 0.199 kg

Quick Overview

OAK-D-S2 x1