SKU:WSAL21086
OAK-D-POE Development Kit with PoE Feature, OpenCV AI Machine Vision Kit, IP67 Waterproof
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Kurzbeschreibung: OAK-D-POE Development Kit With PoE Feature, OpenCV AI Machine Vision Kit, IP67 Waterproof
depth measuring / image recognition / security monitoring / ntelligent driving / roboticsGigabit Ethernet PoE / IP67 waterproof
| 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 |
the OAK provides up to 4TOPS computing performance,10 times of OpenMV, 40 times of Raspberry Pi 4B
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.
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.
| 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
- OAK-D-POE x1
- Ethernet cable x1
- Clean cloth x1
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