PyC Basic III AloT Programming Introductory Equipment for Learning loT, Data Science, and Machine Learning.

Features

•  Introductory AIoT programming equipment for learning IoT, Data Science, and Machine Learning
• It consists of a high-performance, low-power ARM quad core processor module and various input/output devices optimized for learning as a single board so that sensor data can be collected and analyzed in real time or predicted through model definition in an AIoT environment
• Provides various input devices such as ADC-based distance measurement, illumination level, noise level, and motion detection and I2C-based proximity, ambient light, color, gesture, temperature and humidity, etc. in order to improve understanding of embedded interface
• Provided various output devices such as from basic LED to OLED that can output text or simple graphic and RGB Type 16×16 Pixel Display with colorful lighting effects in order to support visualization of analyzed or predicted sensor data
• Provides Gigabit Ethernet, dual-band Wi-Fi (2.4GHz, 5GHz), and Bluetooth 5.0 in order to remotely control the training equipment with a smartphone or tablet in an IoT connectivity environment
• Provides a dedicated learning environment based on a web browser that supports both Python and Google block coding platform, Blockly in order to increase the convenience of AIoT programming and use on PC and tablet
• Provides OS that optimizes Debian Linux for ARM-based IoT, data science, and machine learning and Pop library supporting reliable hardware abstraction
• Supports for open integrated development environment based on Visual Studio Code for professional application development
• Provides dedicated learning content to implement IoT, data science, and machine learning