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AI Machine Vision Kit OAK-D-S2-POE JPEG Encoder 12MP 4TOPS OpenCV Camera

$699

Brand:SpotPear
SKU:0501129
Date:2024-07-26 10:51
Part Number:
No:
In Stock

OAK-D-S2-POE

OpenCV AI Machine Vision Kit

Depth Measuring / Image Recognition & Location / Safety & Security Monitoring

Intelligent Driving / Robotics / Gigabit Ethernet / PoE Support / Object Tracking / IP65

【Overview】
[] OAK-D-S2-POE

[] OpenCV AI Machine Vision Kit

[] Depth Measuring / Image Recognition & Location / Safety & Security Monitoring

[] Intelligent Driving / Robotics / Gigabit Ethernet / PoE Support / Object Tracking / IP65

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-POE 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) and IMU. Features an IP65 industrial-grade waterproof rating, it can be used both indoors and outdoors, with onboard PoE port (for 802.3af-compliant PoE power supply and GigE connectivity), making it an intelligent Network IP camera with depth vision.


This product is the Series 2 version of the OAK-D-POE. The main difference is that this product is smaller and lighter.

【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)


【Better CompatibilitySmall 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.

【Powerful Computing Performance】
[] The OAK Provides Up To 4TOPS Computing Performance

[] 10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B

【HD Camera】

PARAMETERRGB CameraBinocular Camera
SENSORIMX378OV9282
FOV81°D / 69°H / 55°V89°D / 80°H / 55°V
RESOLUTION12MP (4032×3040)1MP (1280×800)
MAX FPS60 FPS120 FPS
FOCAL LENGTH4.81mm2.35mm
APERTURE1.8 ±5%2.0 ±5%
FOCUS RANGEAF: 8cm ~ ∞ (the default shipping version)
FF: 50cm ~ ∞ (you can contact our customer service if needed)
FF: 19.6cm ~ ∞
LENS SIZE1/2.3″1/4″
DISTORTION< 1.0%< 1.5%
PIXEL SIZE1.55µm × 1.55µm3µm × 3µm
SHUTTERRollingGlobal
【Specifications】
WATERPROOF RATINGIP65
DEPTH MEASURING RANGE0.7~12m (The theoretical measuring distance can reach 35m, with an actual measurement error of approx. 6% to 10% at 30m)
Minimum depth: ~20 cm (400P and extended), ~35 cm (400P or 800P, extended), ~70cm (800P)
DEPTH CAMERA1MP, global shutter
REFERENCE ACCURACY<2% error @below 4m
<4% error @4m~7m
<6% error @7m~10m
RGB CAMERA12MP
MAX FRAMERATE60fps (RGB), 120fps (Depth)
AI CHIPIntel Myriad X 4TOPS computing performance
VIDEO PLUG FLOW4K 30 fps H.265 plug flow
CONNECTORGigabit Ethernet port with integrated 802.3af PoE circuit
NN PLATFORM SUPPORTAll platforms
POWER CONSUMPTION3W ~ 3.5W
DEVELOPMENT LANGUAGEPython, C++
ECLOSUREDull-polish metal case
WEIGHT184g
DIMENSIONS111 × 40 × 31.3 (mm)
Working With Tripod

for reference only, the Mini Tripod is NOT included.
Outline Dimensions