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    DFROBOT HUSKYLENS Smart Vision Sensor with Silicone Case for LattePanda, Raspberry Pi or Micro:bit ^^ AI Camera Support Object/Line Tracking, Face/Object/Color/Tag Recognition

    • One-Click-Learn: HuskyLens is designed to be smart. Built-in algorithms allow HuskyLens to learn new things just by a single click.
    • Machine-Learning-Enabled: Equipped with advanced machine learning technology, HuskyLens is capable of recognizing faces and objects, which is far more beyond ordinary sensors.
    • Onboard Screen: HuskyLens carries a 2.0 inch IPS screen, therefore you don't need to use a PC in parameters tuning. Enjoy the convenience it brings, what you see is what you get!
    • Extreme Performance: HuskyLens adopts a new generation AI specialized chip Kendryte K210, contributing to 1,000 times faster performance compared to STM32H743 when running neural network algorithm.
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    Any questions? Our AI beta will help you find out quickly.

    One-Click-Learn: HuskyLens is designed to be smart. Built-in algorithms allow HuskyLens to learn new things just by a single click.
    ^^ Machine-Learning-Enabled: Equipped with advanced machine learning technology, HuskyLens is capable of recognizing faces and objects, which is far more beyond ordinary sensors.
    ^^ Onboard Screen: HuskyLens carries a 2.0 inch IPS screen, therefore you don't need to use a PC in parameters tuning. Enjoy the convenience it brings, what you see is what you get! ^^
    Extreme Performance: HuskyLens adopts a new generation AI specialized chip Kendryte K210, contributing to 1, 000 times faster performance compared to STM32H743 when running neural network algorithm.

    Warranty & Returns

    Warranty, Returns, And Additional Information

    Warranty

    • Please contact the Seller directly for warranty information. Warranty information may also be found on the Manufacturer's website.
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    Return Policies

    • Return for refund within: 30 days
    • Return for replacement within: 30 days
    • This item is covered by LingGo Return Policy

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