AI and IoT convergence training equipment based on autonomous vehicle platform.

Features

• 128 core GPU supercomputer platform for edge devices as main processor.
• Provides freely movable 8M pixel 160 degree wide angle pan-tilt camera module.
• Gigabit Ethernet, dual band Wi-Fi (2.4GHz, 5GHz) and Bluetooth 4.2.
• Digital microphones and speakers support cloud-based speech recognition and audio playback.
• 4 dedicated expansion interfaces support various IoT sensor modules.
• Steering system supports real car-like driving mechanism and deep learning based autonomous driving technology.
• Adopted 7,000mA battery, and able to continue the practice with separate power connection while charging the battery.
• Soda OS and Pop library, the exclusive AIoT operating system.
• Interpreter-based C/C++ development environments optimized for beginners to programming, including Python3.
• A dedicated web browser-based learning environment for learning Python 3 and C/C++ simultaneously on PCs and tablets.
• mDNS/DNS-SD based distributed name resolution and network service publishing and discovery.
• Open integrated development environment based on Visual Studio Code for professional application development.
• Educational contents for artificial intelligence and deep learning based autonomous vehicle.
• AIoT AutoCar Plus provides high-performance 360 degree Lidar and dedicated library.
• AIoT AutoCar Plus provides 8 types of IoT sensor modules connected to a dedicated expansion interface.