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5G communication’s higher speeds and ultra-low latency can support near real-time situational awareness during emergencies, mission-critical communication across networks, mobile devices and sensors and smart video surveillance.

When disaster strikes, first responders need to mobilize quickly to assess the situation and communicate what’s needed for rescue and relief efforts. There’s no doubt 5G communication can help play a key critical role when it comes to evolving response connectivity and mission operations.

A mobile command center enhanced with 5G was demonstrated by Blueforce Development, which creates situational awareness solutions and sensors to enhance field operations, communications and safety for the military and law enforcement agencies.

Its technology combines information from deployed personnel, autonomous agents and information services, and body-attached or unattended ground sensors to provide a broad spectrum of information for commanders and staff members and enable faster synchronized planning and decision support, according to verizon.com. 

With 5G, the platform can deliver multiple hi-resolution video and sensor feeds with high throughput for more consistent quality, with almost no buffering. Further, 5G’s low latency provides near real-time control and feedback which is needed for drone surveillance and other fast-moving scenarios where essentially instant communication is needed. 

“5G is actually going to help save more lives because seconds matter,” said Michael Helfrich, Blueforce CEO. “Today we use lower resolution sensors which don’t provide the fidelity needed to detect when someone’s walking into a school with a firearm. 5G is going to allow us to do that because we can now leverage higher resolution sensors, detect things faster and get that information to those who are poised to act.”

Blueforce is a mobile edge compute software platform for forward IoT sensor fusion with edge-based processing to accelerate recognitional decision-making at the edge of the network. The Blueforce Decentralized Fusion Engine (DFE) and services oriented architecture (SOA) allow serial or parallel processing with artificial intelligence (AI) at edge of the network, which decreases the need for upstream processing, shortens decision cycles with less network traffic and a smaller electromagnetic signature.