Specifications:

• Aiot Programming Introductory Equipment For Training Iot & 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, Humidity Etc., 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 16x16 Pixel Display Accompanied With Colorful Lighting Effect, 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, 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 Libray Where Supports Reliable Hardware Abstraction Are Provided
• Supports The Open Integrated Development Environment Based On Visual Studio Code