AIoT Home Trainer

Features

• AI and IoT convergence training equipment using 2D model of living room of home
• Main module supporting AI acceleration calculation, multimedia and various IoT sensors are integrated into the base board
• The main module is selectable between a 128-core GPU supercomputer for edge devices or a Cortex-A72 quadcore processor with tensor processor unit
• 4 inch TFT LCD with 800×480 resolution and 8M pixel high resolution camera
• Provides Gigabit Ethernet, dual band Wi-Fi(2.4GHz, 5GHz) and Bluetooth 4.2 or 5.0
• Digital microphones and speakers support cloud-based speech recognition and audio playback
• 4 dedicated expansion interfaces support various IoT sensor modules
• Positioning sensors and actuators by creating 2D models of living rooms in real homes to increase immersion
• Soda OS, the exclusive AIoT operating system, and Pop library
• Interpreter-based C/C++ development environments optimized for programming beginners, including Python 3
• A dedicated web browser-based learning environment for training Python 3 and C/C++ simultaneously on PCs and tablets
• mDNS/DNS-SD based distributed name resolution, network service publishing and discovery support
• Open Integrated development environment based on Visual Studio Code for professional application development
• Educational contents for IoT sensor control, multimedia and AI
• Provides 8 types of IoT sensor modules connected to a dedicated expansion interface
• Contains a supercomputer up to 21TOPS supporting all AI frameworks.