Details
depth measuring / image recognition & location / safety & security monitoring
intelligent driving / robotics / object tracking
The OAK-D-Lite is the extremely cost effective solution of the OAK USB series, which provides similar performance as the OAK-D, except IMU, at a much lower price. It combines functions including depth perception, object detection (neural inference) and object tracking, together with easy-to-use Python API to help you use these functions. The OAK-D-Lite integrates three onboard cameras (1x 4K/30fps RGB camera, 2x mono binocular cameras) and USB3.0 Type-C port, it is accessible through USB connection on hosts like desktop computer, Raspberry Pi, and other popular embedded hosts.
| Depth measuring range | 0.2 ~ 9 m |
|---|---|
| Depth camera | 0.3MP, global shutter |
| RGB camera | 13MP |
| 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 | USB3.0 Type-C |
| NN platform support | all platforms |
| Power consumption | avg 2.5W |
| 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
or create your own
The OAK-D-Lite adopts Myriad X for binocular depth calculating as well as AI neural inference, then providing direct outputs like target coordinates, 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 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.
| 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: 0.103 kg
Quick Overview
- OAK-D-Lite x1
