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

Product information "OAK-D-Pro, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition"

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

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

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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-Pro is an upgraded version of the OAK-D with structured light ranging, featuring an IR laser dot projector (active depth vision) and IR illumination LED (for "night vision"). It's also smaller, lighter and more accurate than the OAK-D. Embedded with the high-performance Myriad X VPU, It adopts active binocular vision technology and structured light, which improves the positioning accuracy to the sub-millimeter level and meets the needs of close-range high-precision positioning and identification, such as Automatic Welding Robots, positioning, identification and calibration of surface defects of parts, etc., which can enhance the perception of the robot .

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Specifications
DEPTH MEASURING RANGE0.2 ~ 35 m
DEPTH CAMERAglobal shutter 120fps
RGB CAMERA12MP 60fps
MAX FRAMERATE60fps (RGB), 120fps (Depth)
AI CHIPIntel Myriad X 4TOPS computing performance
VIDEO PLUG FLOW4K 30 fps H.265 plug flow
CONNECTORUSB3.0 Type-c
EXPANSION INTERFACESGPIO, SPI, UART
NN PLATFORM SUPPORTall platforms
POWER CONSUMPTION2W ~ 5.5W
DEVELOPMENT LANGUAGEPython, C++
ECLOSUREaluminum enclosure
WEIGHT61g
Powerful Computing Performance

The OAK Provides Up To 4TOPS Computing Performance10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B

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HD Camera
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Stereo Vision

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

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Computer Vision

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

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Edge Detection

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Feature Tracking

Artificial Intelligence

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

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Object Detection

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Semantic Segmentation

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OCR

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Attitude detection

Infrared Night Vision

Achieve indoor and outdoor work around the clock

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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)

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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.

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

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

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

Working With Tripod
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for reference only, the Mini Tripod is NOT included.
Outline dimensions
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Resources & Services
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* Resources for different product may vary, please check the wiki page to confirm the actually provided resources.

Product selection guide
ModelOAK-D-LiteOAK-DOAK-D-S2OAK-D-ProOAK-D-POEOAK-D-S2-POE
IMU-support
RGB CAMERA13MP (4208×3120)12MP (4032×3040)
Binocular Depth Camera480P (640×480)1MP (1280×800)
FOV (RGB)81°D / 69°H /54°V81°D/ 69°H / 55°V
FOV (Depth)86° D/ 73° H/58°V89°D/ 80° H/ 55°V82°D/ 72° H/ 50°V89°D/ 80° H/ 55°V
IR sensitive-support-
Depth technologyBinocular visionStructured light + binocular visionBinocular vision
Depth AccuracyLowMediumHighMedium
CONNECTORUSB Type CPoE
waterproof rating-IP67IP65

Lieferumfang

OAK-D-Pro x1

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