YX-E200 series
Core Specifications
- CPU Type:
- Intel® Apollo Lake Celeron J3455
- Memory:
- LPDDR4（Max. 8GB）
- Network:
- 2（2 x Intel i225-V）
- Display:
- 1 x HDMI
- Power Type:
- 24V/2.5A DC Input
- OS:
- • Win 10/11 and Linux multi-version systems
- Operating Temp:
- 0 ~ 60 °C
Product Details
Specifications
E200 Series Product Specifications
| category | parameter | Specifications |
|---|---|---|
| processor system | CPU | Intel® Pentium-N4200, Celeron-N3350/J3355/ J3455 |
| BIOS | AMI UEFI BIOS at 64 Mb | |
| Memory | slot | LPDDR4 |
| capacity | Max. 8 GB | |
| graphics card | controller | Intel Gen9 Graphic engine |
| characteristic | DirectX 12.0, OpenGL 4.1, OpenCL 2.0, HW Decoder H.264, MPEG2, VC-1, WMV9, H.265-HEVC, VP8, JPEG/MJPEG | |
| show | HDMI | 1 x HDMI, resolution up to 3840 x 2160 @ 30Hz |
| External I/O | Ethernet | 2 x Intel i225-V 2.5GbE LAN |
| COM | 1 x RS-232/422/485, 3 x RS-232/485 | |
| USB | 3 x USB3.0, 1 x USB2.0 | |
| SIM | 1 x Micro SIM | |
| Expand | Power DC Jack | Phoenix 4pin terminal |
| M.2 E-Key | 1 x M.2 2242 Support Wi-Fi | |
| M.2 B-Key | 1 x M.2 3052 Support 4G/5G | |
| M.2 M-Key | 1 x M.2 2280 SATA3.0 | |
| storage | SATA 3.0 | 1 |
| LED | LED indicator light | Power, SATA, USB#1, USB#2 |
| other | Power supply type | 24V/2.5ADC Input |
| watchdog | Watchdog | 255-level timer, resettable |
| operating system | Operation system | Windows 10, centos 7/8, ubuntu 18.04/20.04/22.04 |
| physical properties | size | 172 x 125 x 62.5 mm |
| structure | AluminiumAlloy | |
| Installation method | Wall Mounting/Din Rail Clip | |
| Certification | EMC | CE, FCC |
| environment | working temperature | 0～80 °C(32～140°F) |
| Storage temperature | -40°C～85°C (-40～185°F) | |
| Relative humidity (operating) | 95% @ 40 °C (non-condensing) | |
| Relative humidity (storage) | 95% @ 60 °C (non-condensing) |
Applications
Smart Manufacturing
Optimized solutions for high-reliability industrial automation and control systems.
Machine Vision
Powerful computing performance to support AI-driven quality inspection and recognition.
Edge Computing
Low-latency processing at the edge for IoT data aggregation and real-time analysis.