PYC Basic II

Product Features

  • AIoT programming introductory equipment for training IoT and data science and machine learning

  • Realization of training with one board composed of high-performance, low-power ARM quad-core processor modules and various I/O devices optimized for training to collect and analyze sensor data  and forecast  them through the model definition in real time at AIoT environment

  • To enhance the understanding of embedded interface, various input devices such as GPIO-controlling button, ultrasound, ADC-based distance measurement, illumination, noise level, movement sensing,  I2C-based proximity, ambient illumination, color, gesture, temperature and humidity are provided

  • To support the visualization of analyzed or forecast sensor data, various output devices such as basic LED, OLED that can output texts or brief graphics,  RGB-type 16×16 Pixel Display accompanied with colorful lighting effects are provided 

  • Gigabit Ethernet, dual-band Wi-Fi (2.4GHz, 5GHz) and Bluetooth 5.0 are provided to make the remote-control of the equipment possible with smartphone or tablet in the IoT connectivity environment

  • Web browser-based dedicated learning environment that supports Python 3 and C11/C++17 based on interpreter of European Institute of Particle Physics  and Blockly: the Google block coding platform is provided to enhance the expediency of AIoT programming

  • Soda OS where  Debian Linux is optimized for training of ARM-based IoT, data science, and machine learning and Pop library where supports reliable hardware abstraction are provided

  • Supports the open integrated development environment based on Visual Studio Code for professional application development

  • Dedicated learning contents required for realizing IoT, data science, and machine learning are provided

Operating Program

Hardware Specifications

Training Contents

Block-based Programming