OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition
Product information "OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition"
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-S2 is an compact version of the OAK-D. Its functions, performance, and lenses are the same as OAK-D, but smaller in size and lighter in weight, and can be used in scenes where space is limited and requires high quality. In addition, OAK-D-S2 removes the 5V power port and has a larger depth measurement range than OAK-D in performance.
The OAK-D S2 is the series 2 of the OAK-D, which puts the VPU (Myriad X) directly on the board instead of on the SoM, making the products smaller and lighter. OAK-D-S2 combines depth perception, object detection (neural reasoning) and object tracking, and can help you achieve these functions with a simple and easy-to-use Python API. Onboard three cameras (a 4k/30fps RGB camera and two mono binocular cameras), BNO086 IMU and USB3 port, so you can access OAK via USB on PC, Raspberry Pi and other popular embedded hosts.
| DEPTH MEASURING RANGE | 0.2 ~ 35 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 | 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 | 91g |
The OAK Provides Up To 4TOPS Computing Performance10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B
| Parameter | RGB Camera | Binocular Camera |
|---|---|---|
| Sensor | IMX378 | OV9282 |
| FOV | 81°D / 69°H / 55°V | 89°D / 80°H / 55°V |
| Resolution | 12MP (4032×3040) | 1MP (1280×800) |
| Max FPS | 60 FPS | 120 FPS |
| Focal Length | 4.81 | 2.35 |
| Aperture | 2.0 | 2.2 |
| Focus Range | AF: 8cm ~ ∞ | FF: 19.6cm ~ ∞ |
| Lens Size | 1/2.3″ | 1/4″ |
| Distortion | < 1.0% | < 1.5% |
| Pixel Size | 1.55µm × 1.55µm | 3µm × 3µm |
| Shutter | Rolling | Global |
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
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 CPUThe processing of artificial intelligence and depth vision on OAK can be completed on the chip without the involvement of the host.
Easy to DevelopIt takes less than 30 seconds to run the 3D AI function of OAK.
Open Source EcologyThe 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 | |||
Lieferumfang
OAK-D-S2 x1
Login