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OAK-D-POE OpenCV AI Machine Vision Kit

SKU: WVSH0391

₹ 80,549.99

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OAK-D-POE OpenCV AI Machine Vision Kit₹ 80,549.99
Ask AI about this product

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

Depth Measuring / Image Recognition / Security Monitoring / Ntelligent Driving / Robotics / Gigabit Ethernet PoE / IP67 Waterproof


Specifications

DEPTH MEASURING RANGE 0.2 ~ 9 m
DEPTH CAMERA global shutter 
RGB CAMERA 12MP 
MAX FRAMERATE 60fps (RGB), 200fps (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 Networks
Or 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 traffic
Detection and recognition for motor vehicles, non-motor vehicles, pedestrians, traffic signs, traffic events...

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

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

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

Math contest
Suitable 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
How is power supplied to the kit and what are its power consumption limits?
The kit supports 802.3af PoE over its Gigabit Ethernet connection and can be powered from a PoE switch or injector. Typical power consumption is 2W to 5.5W depending on use.
What are the camera and depth sensing specifications?
Depth range is 0.2 to 9 meters and the depth camera supports up to 200 fps. The RGB camera is 12 MP up to 60 fps with a global shutter for depth, and the AI chip provides up to 4 TOPS. It also supports 4K 30 fps video with H.265 plug flow.
Which development platforms and languages are supported?
It supports all platforms and can be developed with Python or C++.
Is the device rugged and suitable for industrial or outdoor use?
Yes, it has an IP67 waterproof rating and an aluminum enclosure, making it suitable for harsh environments. The unit weighs 361 g.
What interfaces and expansion options are available for integration?
It provides Gigabit Ethernet with PoE and expansion interfaces GPIO, SPI and UART for integration, and supports tripod mounting as an option (tripod not included).
Welcome to the discussion thread for OAK-D-POE OpenCV AI Machine Vision Kit
Feel free to ask questions, share tips or report issues.
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Description
Ask AI about this product

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

Depth Measuring / Image Recognition / Security Monitoring / Ntelligent Driving / Robotics / Gigabit Ethernet PoE / IP67 Waterproof


Specifications

DEPTH MEASURING RANGE 0.2 ~ 9 m
DEPTH CAMERA global shutter 
RGB CAMERA 12MP 
MAX FRAMERATE 60fps (RGB), 200fps (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 Networks
Or 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 traffic
Detection and recognition for motor vehicles, non-motor vehicles, pedestrians, traffic signs, traffic events...

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

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

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

Math contest
Suitable 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
FAQ
How is power supplied to the kit and what are its power consumption limits?
The kit supports 802.3af PoE over its Gigabit Ethernet connection and can be powered from a PoE switch or injector. Typical power consumption is 2W to 5.5W depending on use.
What are the camera and depth sensing specifications?
Depth range is 0.2 to 9 meters and the depth camera supports up to 200 fps. The RGB camera is 12 MP up to 60 fps with a global shutter for depth, and the AI chip provides up to 4 TOPS. It also supports 4K 30 fps video with H.265 plug flow.
Which development platforms and languages are supported?
It supports all platforms and can be developed with Python or C++.
Is the device rugged and suitable for industrial or outdoor use?
Yes, it has an IP67 waterproof rating and an aluminum enclosure, making it suitable for harsh environments. The unit weighs 361 g.
What interfaces and expansion options are available for integration?
It provides Gigabit Ethernet with PoE and expansion interfaces GPIO, SPI and UART for integration, and supports tripod mounting as an option (tripod not included).
Reviews
Forum
Welcome to the discussion thread for OAK-D-POE OpenCV AI Machine Vision Kit
Feel free to ask questions, share tips or report issues.
Add Post

For more discussion Click Here

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