Details
Depth Measuring / Image Recognition & Location / Safety & Security Monitoring
Intelligent Driving / Robotics / Object Tracking
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 .
| DEPTH MEASURING RANGE | 0.2 ~ 35 m |
|---|---|
| DEPTH CAMERA | global shutter 120fps |
| RGB CAMERA | 12MP 60fps |
| 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 | USB3.0 Type-c |
| EXPANSION INTERFACES | GPIO, SPI, UART |
| NN PLATFORM SUPPORT | all platforms |
| POWER CONSUMPTION | 2W ~ 5.5W |
| DEVELOPMENT LANGUAGE | Python, C++ |
| ECLOSURE | aluminum enclosure |
| WEIGHT | 61g |
The OAK Provides Up To 4TOPS Computing Performance
10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B
Perceive the real 3D world and give robots a pair of eyes
Real-time data processing on the chip, low performance requirements on the host
Edge Detection
Feature Tracking
Run neural network models directly on the device and support your own models to OAK
Object Detection
Semantic Segmentation
OCR
Attitude detection
Achieve indoor and outdoor work around the clock
Supports almost all common platforms, programming languages, and neural network frameworks
(The OpenCV AI Kit Official plans to support Java and in progress)
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.
Lightly Loaded CPU
The processing of artificial intelligence and depth vision on OAK can be completed on the chip without the involvement of the host.
Easy to Develop
It takes less than 30 seconds to run the 3D AI function of OAK.
Open Source Ecology
The hardware and software of OAK are open-source, allowing users to prototype and produce solutions with low risk.
* Resources for different product may vary, please check the wiki page to confirm the actually provided resources.
| 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 | |||
Weight: 0.212 kg
Quick Overview
OAK-D-Pro x1
