Nexcom Edge Computer – AIEdge-X®537

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Nexcom Edge Computer – AIEdge-X®537

AIEdge-X® powered by Coral Intelligence

Key Feature

  • Compact and slim design
  • Enabled with Coral Intelligence
  • Low wattage requirements with high AI processing capacity
  • Supports Linux and Python
  • Supports Intel® Core™ i and Celeron® CPUs up to 35W
  • Fanless design for industrial use
  • High performance, better privacy, local data, offline operation and power efficiency

Request a Quote Datasheet

NEXCOM AIEdge-X ® series is designed to retrieve data from the device in the field and to analyze and respond in a timely manner while at the "Edge". The PC, equipped with Coral Intelligence, can also be trained and run ML/DL without connecting to the cloud or the internet, but can also take advantage of the Google Cloud IoT Edge software stack for data management and processing.

 

This compact fanless embedded player can handle powerful multimedia content. In addition, the product series manages in-store traffic analytics and simultaneously engages with "calls to action" through virtual interactions to increase product interest and dwell time. Suitable for Utilities and Kiosks, Educational Aids, Warehouse management and Proactive maintenance.

Processor 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, up to 32G unbuffered memory (single socket max. 16GB)
Storage 1 x SATA 2.5” HDD/SSD
Display 1 x HDMI 2.01 x HDMI 1.41 x DisplayPort
I/O I/O Interface - front
- 2 x USB3.0
- 2 x COM Port
- 1 x 4-pin mini-Din LockingI/O Interface - rear
- 2 x USB 3.0
- 3 x Antenna holes
- 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 LED for Gigabit LAN
Power Input Range Input: 100VAC to 240VAC
Operating System Win10/Linux
System Dimensions (LxWxH) (mm) 295x189x33
Certification CE ApprovalFCC Class B
Web Configuration IoT Studio
- Rapid prototyping/engineering tool
- With IoT-Studio, users can easily configure the rapid prototyping/engineering tool.Remote Access
- Access and manage the NISE50-GCP from anywhere via a browser
- Supports popular browsers based on HTML5 and CSS3
Dashboard Support Dashboard
- Quickly create a dynamic data dashboard
- Provide various widgets that users can use directly through simple configuration
Cloud Connectivity Available Google Cloud IoT Core and Cloud IoT Edge
- Reliable and secure two-way communication service between IoT devices and the cloudCoral from Google Edge TPU processor for AI applications
- Via PCI-e accelerator
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