Dedrone Introduces Next Generation Radio Frequency Sensor, RF-160, for sUAS Detection and Threat Mitigation

Dedrone, a leading global provider of counter-sUAS capabilities, announced today the release of their newest radio frequency sensors, the Dedrone RF-160. The RF-160 is an upgraded version of the company’s existing foundational RF sensor, the RF-100, and includes new and advanced features such as increased detection range, streamlined installation process, and integrated LTE. The RF-160 quantifies how many drones are in the user’s airspace, providing early detection of drones, before they even take off. Dedrone also manufactures a separate sensor, the RF-300, which provides localization and tracking of sUAS. The RF-160 is available for order today and will begin delivery in March 2020.

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New features of the RF-160 include:

• Integrates LTE for simple installation, fast startup, and access to comprehensive data for drone risk analysis: The RF-160 can be installed within a few minutes and without any specialized IT knowledge. Only needing power supply and a pole, it automatically connects to the Dedrone Cloud via LTE and immediately starts to detect drones. An on-premise server is not required. Users can assess their drone risk quickly and use these insights to act upon drone threats.
• Provides detection range of up to 5 km: The RF-160 stands alone to achieve a baseline of drone activity for users and provide early warning and classification of sUAS. A single RF-160 has an average detection range of 1.6 km, and under ideal conditions, up to 5 km for certain drones. This range extends when one or more RF-160s are working together, and even more information on drone activity can be generated when layering with other detection technologies, including the RF-300, radar, and PTZ-cameras.
• Incorporates an advanced design for urban environments: Urban areas have more radio frequency activity from radio communication, televisions, cell phones, GPS, and other technologies. The RF-160 meets the needs of organizations in such environments a with higher potential of RF interference.
• Includes expanded RF band detection range for the detection of commercial, consumer, and home-built sUAS: Radio frequency spectrum operates on a wide range depending on the types of communication technology used. Commercial, off the shelf drones typically operate on the 2.4 and/or 5.8 ghz sub-band. The RF-160 comes with an advanced antenna configuration to ensure that drones that may operate outside the typical spectrum are reliably identified.
• Features increased computing power and data processing: The RF-160 features a high-performance processor, enabling rapid data processing and analytics and allows even more timely responses to sUAS incursions.

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“The RF-160 joins the Dedrone suite of products at a time when the global sUAS market is growing at a rapid pace, and organizations are looking to see what the social and economic impact of the rise of drones will have on our day-to-day lives,” shares Joerg Lamprecht, CEO and co-founder of Dedrone. “The RF-160 can be installed quickly and easily for users to easily create a baseline risk assessment on all airspace activity, regardless of the type of manufacturer, or even if it is a home-made drone. Lower airspace security starts with detection, and the RF-160 is the most advanced product to provide our customers with the analytics they need to act upon sUAS threats to their airspace.”  

Dedrone’s multi-sensor system enables security providers to match the best-in-class sUAS (small Unmanned Aerial Systems) detection hardware with DroneTracker, Dedrone’s software. The RF-160 detects and classifies drones using radio signals and is ideal for creating a first risk analysis. Dedrone’s multi-sensor platform allows the RF-160 to be supplemented with additional sensors such as the RF-300, which provides localization information, PTZ cameras, and radar systems.  

About Dedrone

Dedrone is the market and technology leader in airspace security. The Dedrone counter-drone platform combines hardware sensors and machine-learning software, providing early warning, classification of, and mitigation against all drone threats. Based in San Francisco, Dedrone was founded in 2014 and is backed by investors including Felicis Ventures, Menlo Ventures, and John Chambers, Chairman Emeritus of Cisco Systems and founder of JC2 Ventures.