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The platform, called Dedrone Cloud, is offered as an easily deployable, reliable, and cost-effective solution for organizations looking to develop a threat analysis of their airspace. The platform, says the company, streamlines and accelerates drone detection technology installations, without requiring on-site IT infrastructure or maintenance.

“Customers who need airspace security shouldn’t have to hassle with maintaining servers to store,” says Joerg Lamprecht, CEO and co-founder of Dedrone. “Dedrone Cloud provides the simplest and most cost-effective path for our customers to install an airspace security technology solution, identify and track unauthorized drones, collect data, and protect their infrastructure.”

Additional benefits of the solution, says the company, include the elimination of manual updates and maintenance – communication between the company’s DroneTracker Software and RF sensor is configured automatically, and all new feature updates are automatically integrated into a customer’s DroneTracker software. Dedrone Cloud also has a 99.9% uptime rate, the company says.

The company’s software is a machine learning network using information from a proprietary database, called DroneDNA. DroneTracker gathers intelligence from various sensors – including RF and Wi-Fi scanners, microphones, and cameras – and can detect drones over a mile away from a protected site.

It determines the communications protocol of the drone, its flight path, and the location of the pilot. Once a drone is detected, the software alerts security personnel and can be integrated to deploy a passive security measure or defeat technology.

Earlier this year, the company announced its newest RF sensor, the RF-300, which finds unauthorized drones and their pilots. It, along with the company’s RF-100 sensor, is supported by Dedrone Cloud.

Dedrone

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