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Arducam Pivistation 5 Klarity 20MP IMX283 Raspberry Pi 5 Camera B0502

  • $619.00
  • Save $50
  • (Exc. GST)


  • In stock with a short lead time. Ship within 3-7 days.

  • $ We Ship from our stock in AU (Perth) with pickup option, and Prices are Exc. GST
  • $ We Offer Quantity Discounts for Large Orders 10+qty (Request for Quote)
  • $ We Accept Purchase Orders & Net 30 Payment for Eligible Accounts
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    Arducam Pivistation 5 Klarity 20MP IMX283 Raspberry Pi 5 Camera B0502

     

    The Arducam Pivistation 5 is a comprehensive embedded vision kit designed to simplify the development of advanced imaging projects. Integrating the Raspberry Pi 5, it addresses the common challenges of setup complexity and compatibility, providing users with a powerful, ready-to-use solution for various vision applications.

    Featuring a large size 20MP IMX283 sensor paired with a 16mm C lens, the Pivistation 5 Klarity delivers exceptional image quality with superb clarity and sharpness. This high-performance sensor ensures that users can capture detailed images and videos, making it ideal for both professional and hobbyist projects.

    The Pivistation 5 is designed for convenience and efficiency, coming pre-installed with essential software such as OpenCV-Python and TensorFlow. It utilizes the official Raspberry Pi case, which includes a cooling fan for optimal performance and pre-installed tripod holes for easy setup and mobility. This combination of hardware and software ensures a seamless and hassle-free user experience, allowing developers to focus on their projects without worrying about configuration and compatibility issues.

    Applications

    • Face Recognition
    • Fatigue Detection
    • Object Recognition
    • Anomaly Detection
    • Machine Vision

    Features

    • Advanced Imaging: Utilizes a 20MP IMX283 sensor and 16mm C lens for exceptional image clarity and sharpness.
    • Complete Setup: Comes with the Raspberry Pi 5 4GB RAM, 32GB SD card, official case, and cooling fan for optimal performance and durability.
    • Extensive Software Support: Pre-installed with essential vision software, including OpenCV-Python, TensorFlow, and PyTorch, enabling advanced application development out of the box.
    • Robust Enclosure: Housed in an official Raspberry Pi case with a cooling fan, featuring pre-installed tripod holes for easy mobility and setup.
    • Versatile Applications: Ideal for a wide range of embedded vision projects, from quick POC, research, and development to hobbyist applications.

    Specifications

    Image Sensor
    Image Sensor SONY IMX283
    Still Resolution 20 MP
    Color Filter Type Color
    Shutter Type Rolling shutter
    Optical Size 1"
    Sensor Output Format RAW10
    Platform Output Format JPEG/YUV/RGB/RAW10
    Sensor Active Area 5496(H)×3672(V)
    Pixel Size 2.4 µm x 2.4 µm
    Frame Rate 5472×3648@6fps, 3840×2160@8fps,2732×1538@25fps, 1920×1080@50fps, 1280×720@120fps
    Lens
    Lens Mount C Mount
    Focus Type Manual Focus
    FOV 60°(D)×49°(H)×38°(V)
    F.NO F1.4-16
    E.F.L 16mm
    Default Focus Range 5m-∞
    IR Sensitivity Integral IR-cut Filter, visible light only
    Electrical and Mechanical
    Operating Voltage 5 V +/- 5%
    Operating Temp. 32°F-158°F (0°C to 70°C)
    Power Requirements 7.5W
    Camera Board Size 38×38mm
    Overall Size 99×70×101 mm
    Functionality and Compatibility
    Supported OS Bookworm
    Pre-installed Software opencv-python, libopencv-dev (C++ version) libcamera, rpicam-apps C++ essential tools (building environment) TensorFlow (Python)/ PyTorch camera-streamer, arducacm camera server
    Supported Platform Raspberry Pi 5

    Package Including

    • 1× Arducam Pivistation 5 Camera Kit

    Notes

    • Tripod is not included in the package.
    • This product kit includes the Raspberry Pi 5 with 4GB of RAM and a 32GB SD card preloaded with OS and software. It is recommended to use only this platform.
    • For optimal performance, we suggest using the official Raspberry Pi 27W power supply.

    Documentation

    Video

     


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