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Machine learning system at the heart of Dedrone’s Software
DedroneDNA is Dedrone’s machine learning system that recognizes drones of all kinds.
Trained on millions of data points, it can detect the difference between drones and other moving objects such as birds, planes, or other objects, and even distinguish between drone models.
DedroneDNA Frequently Asked Questions
DedroneDNA works with Dedrone’s DedroneTracker.AI software to intelligently fuse data from multiple sources, increasing reliability and reducing false-positives and false-negatives. Data from RF Sensors, video, radar, and other sensors is automatically processed to detect and classify drones.
A drone signature is a set of characteristics that classifies a certain drone model, including RF protocols, shape and size. The drone signatures are saved in the DedroneDNA database.
Drones come in various shapes and sizes, with fixed wings or a varying number of rotors. Some even look like birds or insects. Radio frequencies also vary - many drones are controlled using common radio protocols, but others are controlled via Wi-Fi. In the future, there will be more drones that fly autonomously and aren’t remotely controlled by a pilot. All these drones must be detected, and the detection accuracy of sensors relies on known drone signatures. DedroneDNA provides specific information on the exact type of drone, helping immensely to reduce the false-positive and false-negative detection rate.
New drone models with specific characteristics are constantly coming onto the market. Similar to a virus scanner, a counter-drone system must always be set to protect against new types of attacks.
New and updated DedroneDNA signatures are created by Dedrone’s R&D team. Several different approaches are combined to add new signatures as fast as possible:
Dedrone acquires new drones and analyzes them in their labs
Customers send their drone and remote control to Dedrone to be added to the signature database
Current users can opt-in to a feedback process where they can provide sensor recordings to Dedrone which are then used to build new signatures
Newly recognized drones are automatically added to the DedroneDNA signature library and there’s no need to manually install software updates.
Currently we update the DedroneDNA data base at least once a quarter, but we are able to react faster, if necessary.
Typically Dedrone will analyze a drone and build a new signature in under two weeks.
Dedrone constantly monitors the release of new drones. The order in which drones are added to the database depends on the drone’s market presence and on our customers’ feedback.
How to Start
Contact our team for more information. We would also be pleased to put you in contact with a Dedrone customer in your industry!
You can get a PDF version of this White Paper for free here.