It is applied in industrial visual inspection to enhance production quality assurance; utilized for video feedback and passenger AI analysis on buses, contributing to public transportation safety.
1. 5G high-speed access;
2. AI capabilities;
3. Edge Computing;
4.Complex environment networking;
5.Highly reliable networking;
6.Remote operation and maintenance management.
| ET5400-H | ET5400-M | ET5400-L | |
| Core | NVIDIA Jetson Xavier NX | NVIDIA Jetson TX2 NX | NVIDIA Jetson Nano |
| CPU | ARM 6 cores | ARM 6 cores | ARM 4 cores |
| GPU | 384-core NVIDIA Volta™ GPU with 48 Tensor Cores | 256-core NVIDIA Pascal™ GPU | 128-core NVIDIA Maxwell™ GPU |
| Computing Power | 21TOPS | 1.33TOPS | 472GFLOPS |
| Internal Storage | 8GB | 4GB | 4GB |
| Storage | Built-in 16GB | ||
| Wireless | Support 5G/4G/3G, dual-band Wi-Fi | ||
| Interface | 8 POE ports, 1 USB 3.1, 1 USB 2.0, 1 RS232, 1 RS485, 2 CAN, 1 Console, 1 HDMI | ||
| Installation | Desktop box-type device, supporting wall-mount installation | ||
| System Configuration | |||
| System | Linux Kernel 4.4 and above, pre-installed with Ubuntu, supports lightweight containers | ||
| Protocol | Supports IoT and industrial protocol adaptation | ||
| Support | Support containerized deployment, AI intelligent analysis, routing network function and Inspur edge computing platform. | ||