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

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：

OAK-D-S2-POE

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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 AI Camera

OAK-D-POE

OAK-D-S2-POE

OAK-D-Lite

OAK-D-S2

OAK-D-Pro

【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】

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	4.81mm	2.35mm
APERTURE	1.8 ±5%	2.0 ±5%
FOCUS RANGE	AF: 8cm ~ ∞ (the default shipping version) FF: 50cm ~ ∞ (you can contact our customer service if needed)	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

【Specifications】

WATERPROOF RATING	IP65
DEPTH MEASURING RANGE	0.7~12m (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 CAMERA	1MP, global shutter
REFERENCE ACCURACY	<2% error @below 4m <4% error @4m~7m <6% error @7m~10m
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	Gigabit Ethernet port with integrated 802.3af PoE circuit
NN PLATFORM SUPPORT	All platforms
POWER CONSUMPTION	3W ~ 3.5W
DEVELOPMENT LANGUAGE	Python, C++
ECLOSURE	Dull-polish metal case
WEIGHT	184g
DIMENSIONS	111 × 40 × 31.3 (mm)

【Working With Tripod】

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

[] OAK-D-S2-POE

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!