【Product Introduction】

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

【Product Details】

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	89°D / 80°H / 55°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

Artificial Intelligence

Run Neural Network Models Directly On The Device And Support Your Own Models To OAK

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.

Working With Tripod

for reference only, the Mini Tripod is NOT included.

【Outline Dimensions】

[] OAK-D-S2

To：

Dear Customers, There may be a lag of several hours before we could process your order, depending on the time difference between your location and ours. Sincerely hoping your understanding!

Email(support)

services01@spotpear.com