AIEdge-X® powered by Coral Intelligence
  • Main Feature
  • Compact and slim design
  • Enabled with Coral Intelligence
  • Low watts requirements with high AI processing capability
  • Supports Linux and Python
  • Support Intel® Core™ i and Celeron® CPU up to 35W
  • Fanless design for industrial use
  • High performance, better privacy, local data, work offline and power efficient
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CPU 7th Gen Intel® Core™ socket type Processor up to 35W
Chipset Intel® PCH Q170
Memory 2 x 260-pin SO-DIMM Sockets, supports DDR4 1866/2133 MHz, non-ECC, un-buffred memory up to 32G (single socket max. 16GB)
Storage 1 x SATA 2.5” HDD/ SSD
Display 1 x HDMI 2.0 1 x HDMI 1.4 1 x DisplayPort
I/O I/O Interface-front
- 2 x USB3.0
- 2 x COM Port
- 1 x 4-pin mini-Din with Lock
I/O Interface-rear
- 2 x USB 3.0
-3 x Antenna hole
-1 x MIC-in
-1 x Line-out
Expansion 1 x mini-PCIe slot (full size) 1 x NGFF (M.2) 2230 for optional WLAN
SIM Card Holder 1
LAN Ports 2 x RJ45 with LEDs for Gigabit LAN
Power Input Range Input: 100VAC to 240VAC
Operating System Win10/Linux
System Dimension (LxWxH)(mm) 295 x 189. x 33
Certification CE Approval FCC Class B
Web Configuration IoT Studio
- Rapid prototyping/engineering tool
- With IoT-Studio, user can easy to configure
Remote Access
- Access and management NISE50-GCP anywhere via browser
- Support popular browser based on HTML5 & CSS3
Dashboard Support Dashboard
- Quickly create a dynamic data dashboard
- Provide variety of widgets for user to directly use via simple configuration
Cloud Connectivity Available Google Cloud IoT Core and Cloud IoT Edge
- Service of reliable and secure bidirectional communications between IoT devices and cloud
Coral From Google Edge TPU processor for AI applications
- Through PCI-e accelerator
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