Training equipment for Android embedded artificial intelligence convergence
Adopts the latest application processor from AMLogic USA, which includes 5TOPS (Artificial Intelligence Computing Capability) NPU (Neural Processing Unit) as the main module
ARM processor combines four 2.2GHz Cortex-A73 cores and two 1.8GHz Cortex-A53 cores in a big-little structure, providing the best performance in Android environment
Provides 4GB LPDDR4 and 32GB eMMC suitable for large-capacity application development and equipped with SD Card slot for storage expansion
Supports acceleration of the latest AI frameworks such as TensorFlow, Caffe, and Darknet through NPU
Equipped with LG Electronics Display with 800×1280 pixel resolution that prevents diffuse reflection and provides a wide viewing angle of 170/170 degrees up/down/left/right, providing sufficient brightness (450 nits) and rich colors (800 :1 contrast ratio)
Provides an integrated development environment that builds and installs on a target the ARM embedded Linux (Android) project in Windows 10
Android NDK or Arduino-based hardware control possible through the peripheral device sub-module
Supports Arduino-based firmware learning through ATmega2560 microcontroller sub-module