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Protecting Critical Infrastructure Using Network Edge AI Platform

Background

Forest fires may have a variety of origins and causes but early detection and warning methods used to limit the extent of their damage are largely the same. Now, cutting-edge AI technology is enabling more rapid detection to facilitate greater advance warning.

One application of this is the physical protection of critical infrastructure, particularly for electrical power distribution. In addition, such AI technology also facilitates protection from cyber attacks. This type of system also enables implementation of an Advanced Forest Fire Detection System for Public Safety Power Shutoff. Where conditions create a high risk of wildfire, control systems can initiate a temporary shutdown of power transmission to prevent transmission cables becoming a source of ignition.

Requirements

An Edge AI innovator in the U.S. approached Lanner seeking to establish cooperation by using their AI enhanced software to work seamlessly with Lanner’s network edge servers. This joint solution met the following requirements:

Solution

The Edge uCPE connects high-precision sensors and cameras, leveraging the advantage of Artificial Intelligence in smoke detection using video analytics to monitor forests and provide alerts of suspicious events to wildfire control centers.

The FX-3420 offers security, high-performance, and high storage density in just a 2RU form factor for next-generation Lanner HCI appliances. It can support up to 768GB of memory using multiple DDR4 2,666 MHz REG DIMM modules and has twelve 3.5" SATA hot-swappable disk drive bays. The FX-3420 is an optimal choice for Edge AI platforms and VDI servers where performance and storage are critical.

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