OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)
      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)
      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)
      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)

      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)

      WS-22642
      €390.54

      317.51 € tax excl.

      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)

      Quantity :
      OUT OF STOCK

      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)

      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition

      OAK-D-S2 OpenCV AI Machine Vision Kit

      Depth Measuring / Image Recognition & Location / Safety & Security Monitoring
      Intelligent Driving / Robotics / Object Tracking

      OAK-D-S2-details-1.jpg

      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.


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      Specifications
      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

      Powerful Computing Performance

      The OAK Provides Up To 4TOPS Computing Performance
      10 Times Of OpenMV, 40 Times Of Raspberry Pi 4B

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      HD Camera
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      PARAMETER RGB Camera Binocular Camera
      SENSOR IMX378 OV9282
      FOV 81°D / 69°H / 55°V 81°D / 72°H / 49°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

      Stereo Vision

      Perceive The Real 3D World And Give Robots A Pair Of Eyes

      OAK-D-S2-details-9.jpg OAK-D-S2-details-11.png


      Computer Vision

      Real-Time Data Processing On The Chip, Low Performance Requirements On The Host

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      Edge Detection

       
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      Feature Tracking

      Artificial Intelligence

      Run Neural Network Models Directly On The Device And Support Your Own Models To OAK

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      Object Detection

       
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      Semantic Segmentation

       
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      OCR

       
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      Attitude detection

      Better Compatibility

      Supports almost all common platforms, programming languages, and neural network frameworks
      (The OpenCV AI Kit Official plans to support Java and in progress)

      OAK-D-S2-details-25.jpg
      Small Body, Big Power

      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.

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      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.

       
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      Easy to Develop
      It takes less than 30 seconds to run the 3D AI function of OAK.

       
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      Open Source Ecology
      The hardware and software of OAK are open-source, allowing users to prototype and produce solutions with low risk.


      Working With Tripod
      OAK-D-S2-details-33.jpg
      for reference only, the Mini Tripod is NOT included.
      Outline Dimensions
      OAK-D-S2-details-size.jpg
      Resources & Services
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      Balenie Obsahuje / Package Content

      OAK-D-S2 x1

      OAK-D-S2-details-pack_220.jpg
      Waveshare Electronics
      WS-22642

      Specific References

      OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition (WS-22642)

      €390.54

      317.51 € tax excl.