Yahboom K210 Visual Recognition Module (EN Manual)

$79.90

Description

Description

  • Yahboom K210 Visual Recognition Module (EN Manual)
  • Includes a 2MP Camera, Serial Port, 2in LCD Touch Screen, programmable RGB lights, and TF Card Support
  • Powered by Kendryte K210 Chip with a dual-core 64-bit Processor, delivering up to 1TOPS of Computing Power
  • Offers Face / Mask / QR Code Recognition, and more
  • Provides open-source MicroPython codes & 40+ detailed tutorials

The Yahboom K210 Visual Recognition Module (EN Manual) is an image processing module based on artificial intelligence technology. It possesses a dual-core 64-bit processor with computing power up to 1TOPS. It adopts a deep learning algorithm, which efficiently identifies various objects and features in images.

The module integrates a serial interface, allowing it to connect and interact with various controllers such as STM32, Raspberry Pico, Arduino, micro:bit, and other hardware devices and platforms. The K210 module is small in size and has low power consumption, making it suitable for various embedded systems and intelligent hardware products.

Users can easily create numerous creative AI projects using this module.

1x K210 Module

1x Micro-USB Data Cable

1x 32GB TF Card+Card reader

2x Serial Connection Lines

1x Instruction Manual

Reviews (0)

Reviews

There are no reviews yet.

Be the first to review “Yahboom K210 Visual Recognition Module (EN Manual)”

Your email address will not be published. Required fields are marked *

Shipping & Delivery

MAECENAS IACULIS

Vestibulum curae torquent diam diam commodo parturient penatibus nunc dui adipiscing convallis bulum parturient suspendisse parturient a.Parturient in parturient scelerisque nibh lectus quam a natoque adipiscing a vestibulum hendrerit et pharetra fames nunc natoque dui.

ADIPISCING CONVALLIS BULUM

  • Vestibulum penatibus nunc dui adipiscing convallis bulum parturient suspendisse.
  • Abitur parturient praesent lectus quam a natoque adipiscing a vestibulum hendre.
  • Diam parturient dictumst parturient scelerisque nibh lectus.

Scelerisque adipiscing bibendum sem vestibulum et in a a a purus lectus faucibus lobortis tincidunt purus lectus nisl class eros.Condimentum a et ullamcorper dictumst mus et tristique elementum nam inceptos hac parturient scelerisque vestibulum amet elit ut volutpat.