Low-power wide-area networks (LPWAN) technologies are rapidly maturing, increasing market demands for such networks. LPWAN technology is suitable for applications requiring low-data-rate and long-range data transmission ...

  • Over 100 Building Block Optimized Designs
  • Maximum Processor, Memory and I/O Performance
  • Max Performance, High Volume Cloud, High Efficiency Multi-Node, Mainstream

Up to 64GB DDR4 3200 MHz. Intel® Iris® Xe Graphics, up to 96EU. PCIe Gen 4 Interface. Supports Quad display ...

Anewtech provides a series of edge AI board, AI accelerator card, and AI inference system to accelerate deep learning inference on the edge for a wide range of AI-based and computer vision vertical applications...

 

Intelli-Signage combine touch screen system, age and gender recognition, content design software, remote management, heatmap and data analytics...

 

Battery-powered Sub-1GHz Wireless ePaper solution (tag, hub, gateway) bundled with software, aimed to accelerate the implementation in various applications...

 

Rugged tablet PC and PDA engineered to withstand harsh work environments and delivers reliable performance with a variety of OS choices and data capture. ...

Aimed at industrial and IoT applications, AD-FPM-200 series, a new generation of industrial monitors designed to provide premium display solutions at an affordable price....

 

Edge AI Accelerator uses Machine Learning (ML) accelerator that speeds up processing efficiency, lowers power demands and makes it easier to build connected devices and intelligent applications...

 

Maintain a constant flow of data with secure IoT devices built to handle network of various speed and size. Provide seamless connectivity and reliable performance under the most demanding condition...

 

Kheiron IoT Suite is an IoT software platforms that include design studio, service platform and mobile App. The software monitor, analyse and control your devices through an intuitive user interface. ...

 

Artificial Intelligence, AI, is changing our lives from the past to the future. It enables machine learning by using a variety of training models to simulate and infer the status or appearance of objects ...

 

  • Real-time machine status monitoring
  • Machine availability & line balance rate
  • Warning of equipment failure or abnormal operation