OpenCV AI Kit OAK-D-POE
Delivery Time: ab Lager
Verfügbarkeit: Sofort-Versand ab Lager
OAK-D-POE OpenCV AI Machine Vision Kit
Depth Measuring / Image Recognition / Security Monitoring / Ntelligent Driving / Robotics
Gigabit Ethernet PoE / IP67 Waterproof
The OAK-D-PoE baseboard offers full 802.3af, Class 3 PoE compliance with 1000BASE-T speeds. The OAK-D-POE baseboard has three on-board cameras which implement stereo and RGB vision, piped directly into the DepthAI SoM for depth and AI processing. The data is then output to a host via USB 3.1 Gen1 (Type-C) or via 1000BASE-T ethernet connection. Ther OAK-D-POE board exposes boot selection switches, allowing the end user to boot the OAK-SoM-Pro module from USB or the on-board eMMC or NOR flash.
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
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.
Dimensions and Weight
- Width: 130 mm
- Height: 101 mm
- Length: 31 mm
- Weight: 361g
Key features
- Fully compatible with all OAK-D features
- IP67 rated enclosure compatible with standard tripod mount (1/4”-20)
- Interface for OAK-SoM-Pro
- USB 3.1 Gen1 Type-C
- Power-over-Ethernet (PoE) power source
- 1000BASE-T ethernet for data
- Header access for OAK-SoM-Pro 1.8V Aux Signals (I2C, , Module Reset)
- Micro SD connector for DepthAI SoM 3.3V SDIO
- On-board PCIe ref clk for OAK-SoM-Pro and PCIe/Ethernet bridge
- User-selectable OAK-SoM-Pro boot configuration switches
- Design files produced with Altium Designer 20
- PoE injector is required to power the device.
Minimal and maximal perceiving distances of the camera
Minimal depth perceiving distance of the camera depends on mono camera FOV, resolution, baseline and stereo depth mode, more info is available on the Stereo Depth documentation.
OAK-D-PoE has a baseline of 7.5cm and by varying the resolution and stereo depth mode, we get the following minimal depth perceiving distances:
- Min distance (800P): ~ 70cm
- Min distance (400P): ~ 35cm
- Min distance with extended disparity (800P): ~ 35cm
- Min distance with extended disparity (400P): ~ 19.6cm
Maximal perceiving distance for OAK-D-PoE: 38.4 meters