Drone Detection System

Our Drone Detection System provides the simplest and most cost-effective path to install an airspace security technology solution to identify and track unauthorized drones, collect data, and protect infrastructure.

Sensors connected to the DroneTracker software detects, classifies, and protects against drone threats, including localizing the drone. Passive and active countermeasures can be triggered, tailoring the defense mechanism to the severity of the threat.

Drone Detection System technology advances rapidly, and only a software-centric solution can keep up. Dedrone’s DroneTracker software, hosted in the cloud or on-premise, uses DroneDNA database to recognize and classify RF, WiFi, and non-WiFi drones. DroneTracker also integrates with 3rd-party sensors, and triggers alerts and countermeasures.

Drone Detection System

DroneDNA is a machine learning system and classification engine that recognizes drones of all kinds. Trained on millions of images and data points, it can distinguish between different drone models, and detect the difference between drones and other moving objects such as birds, planes, or other objects. DroneDNA signatures are continually updated via the cloud, enabling the Dedrone system to be always up-to-date to protect against the latest threats.

Features of Drone Detection System


DroneTracker is built on Dedrone’s leading DroneDNA database. Automatically updated and continuously trained through machine learning on drone signatures, it enables DroneTracker to detect the latest threats 24/7.


Using advanced video analysis or RF signal processing, localization technology pinpoints the locations of drones, plotting them on an integrated map, enabling users to find the source of drone-based threats.


The RF Sensor is the foundation of the detection solution, providing early warning of malicious activities. Additional video sensors and radar aid detection, show real-time views, and archive video evidence.


By combining several sensors, large spaces with complex layouts can be secured effectively. Data from all sensors are combined and processed centrally in the cloud or an on-premise environment.


DroneTracker integrates with your existing security system. Surveillance cameras, radar or 3rd-party counter-measures such as automatic blinds, fog bombs, or jammers are easily connected via the API.


Alarms are triggered as soon as the approach of a drone is detected. Alerts can be sent through SMS, the software user interface, e-mail, network (TCP/IP), SNMP, or smartphone push notification.


All detected events are recorded and stored locally, including collection of drone type, and model. If installed, video cameras accurately classify whether detected objects are drones and record video evidence — including the flight path of drone.


Automated summary reporting delivers the most critical information up-front. Find how many drones are intruding into your airspace, and details such as drone model, intrusion time, and frequency of recurrence.

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