Product Features
- ARM Cortex-A based high-performance embedded system training Equipment for Linux-based device driver implementation and application
- Main module is an edge supercomputer with a built-in GPU of up to 21 TOPS level. Applications support popular AI frameworks such as TensorFlow2, PyTorch, Caffe/Caffe2, MXNet, Keras, etc.
- Integrated configuration of main module that supports CUDA artificial intelligence acceleration calculation, speaker, digital array microphone, camera, high-precision environmental sensor, and breadboard
- User circuit configuration is possible through a breadboard, and application sensor modules are provided to integrate with the ARM Cortex-M processor
- High-resolution dual CSI camera with adjustable angle to enable image processing and deep learning-based vision processing learning is provided
- Gigabit Ethernet, dual-band Wi-Fi, and Bluetooth for IoT service to support PLC equipment and OPC-UA communication
- Support for MQTT-based IoT connectivity, OpenCV-based image processing, and QT-based GUI practice in conjunction with device driver
- Support Xeus-python and Cling interpreter for aarch64 and VSCode-based IDE to
enable learning C/C++ and Python 3 - Linux kernel configuration and build, system call, platform device driver, MISC
device driver, and application program implementation contents are provided
Training Contents:
- Embedded System
- Practice Environment
- Linux kernel Module
- Linux Kernel API
- Linux Kernel Driver
- Image Processing
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