EC-Orin Nano is equipped with the official NVIDIA Jetson Orin Nano core board module, featuring 8GB of memory and a computing power of up to 40 TOPS. It can run all modern AI models, including Transformer and ROS robot models. It enables the implementation of larger and more complex deep neural networks, utilizing TENSORFLOW, OPENCV, JETPACK, KERAS, MXNET, PYTORCH, and more, to achieve functions such as object recognition, target detection and tracking, speech recognition, and other visual development, meeting the demands of higher AI application scenarios.
The EC-Orin Nano has an RS485 interface, with the device name /dev/ttyS4, supporting half-duplex, and a default baud rate of 9600.
There is also an RS232 interface, with the device name /dev/ttyS2, supporting full-duplex, and a default baud rate of 115200.
The testing method can be directly referenced in the Core-1688JD4 wiki page under the section “UART Debugging Methods”.