SKU:WSAL21086

Kurzbeschreibung: OAK-D-POE Development Kit With PoE Feature, OpenCV AI Machine Vision Kit, IP67 Waterproof

OAK-D-POE development kit with PoE feature, OpenCV AI machine vision kit, IP67 waterproof

OAK-D-POE OpenCV AI Machine Vision Kit

depth measuring / image recognition / security monitoring / ntelligent driving / roboticsGigabit Ethernet PoE / IP67 waterproof

Specifications

waterproof rating	IP67
Depth measuring range	0.2 ~ 9 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	Gigabit Ethernet, with 802.3af-compliant PoE circuit
Expansion interfaces	GPIO, SPI, UART
NN platform support	all platforms
Power consumption	2W ~ 5.5W
Development language	Python, C++
Eclosure	aluminum enclosure
Weight	361g

powerful computing performance

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

camera specifications

IP67 waterproof

use free neural networksor 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 trafficDetection and recognition for motor vehicles, non-motor vehicles, pedestrians, traffic signs, traffic events...

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

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

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

Math contestSuitable 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-POE

Product selection guide

Model	OAK-D-Lite	OAK-D	OAK-D-S2	OAK-D-Pro	OAK-D-POE	OAK-D-S2-POE
IMU	-	support
RGB CAMERA	13MP (4208×3120)	12MP (4032×3040)
Binocular Depth Camera	480P (640×480)	1MP (1280×800)
FOV (RGB)	81°D / 69°H /54°V	81°D/ 69°H / 55°V
FOV (Depth)	86° D/ 73° H/58°V	89°D/ 80° H/ 55°V		82°D/ 72° H/ 50°V	89°D/ 80° H/ 55°V
IR sensitive	-			support	-
Depth technology	Binocular vision			Structured light + binocular vision	Binocular vision
Depth Accuracy	Low	Medium		High	Medium
CONNECTOR	USB Type C				PoE
waterproof rating	-				IP67	IP65

Lieferumfang

1. OAK-D-POE x1
2. Ethernet cable x1
3. Clean cloth x1

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• Verkäufer:

  WaveShare

• Tags: Brand_waveshare,  Cat_board,  Cat_camera,  Cat_kit,  Compat_raspberry_pi,  Platform_raspberry_pi,  Sub_ai_cameras,  Sub_audio,  Sub_binocular_cameras,  Sub_image_recognition,  Sub_speech,  Sub_video,  Topic_ai,  Use_misc_modules