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Editorial Advisory Board

  • Professor Andrea M. Armani, University of Southern California
  • Ruti Ben-Shlomi, Ph.D., LightSolver
  • James Butler, Ph.D., Hamamatsu
  • Natalie Fardian-Melamed, Ph.D., Columbia University
  • Justin Sigley, Ph.D., AmeriCOM
  • Professor Birgit Stiller, Max Planck Institute for the Science of Light, and Leibniz University of Hannover
  • Professor Stephen Sweeney, University of Glasgow
  • Mohan Wang, Ph.D., University of Oxford
  • Professor Xuchen Wang, Harbin Engineering University
  • Professor Stefan Witte, Delft University of Technology

Dedrone Launches DedroneTracker.AI: the AI-Driven Command and Control Platform enabling the Complete Counterdrone Kill-Chain

DedroneTracker.AI Version 6.0 already in use by US and NATO governments

Dedrone, the market leader in smart airspace security, today announced the launch of the newest version of DedroneTracker.AI, Version 6.0. The updates, based on feedback from law enforcement officials, security professionals and military operators in the field, represent a major leap forward in AI/ML enabled autonomous threat detection and classification capabilities demanded by our most strategic customers. DedroneTracker.AI continues to offer best-in-class sensor-fusion, AI/ML enabled threat risk prioritization, autonomous threat interrogation and classification for drones. An early rollout of this version was first adopted by the US federal government as well as a number of NATO member governments and is now available for all Dedrone clients as a software update.

DedroneTracker.AI Version 6.0 also delivers a comprehensive list of US government CsUAS pre-configured integrations, enabling any government customer to rapidly field a “System-Of-Systems" capability with DedroneTracker.AI as the Single Pane of Glass for complex CsUAS systems. Version 6.0 also includes bi-directional integration between the DedroneTracker.AI platform and the Aerial Armor software platform, representing the first step in complete integration between Dedrone and the recently purchased Aerial Armor. In advance of Federal Aviation Administration (FAA) regulations requiring the use of Remote ID enabled drones or broadcast modules becoming effective in September 2023, the new version of DedroneTracker.AI supports the latest US, EU, and Japanese Remote ID standards, and offers improved integration and consolidation of Remote ID detections with non-Remote ID detections.

“With this latest version of our AI platform, we have significantly improved end-to-end autonomy for CUAS and enable safe, productive drone usage,” said Aaditya Devarakonda, CEO of Dedrone. “This leap in capabilities comes from proprietary motion and computer vision models to classify any and all flying objects in a 3D airspace. Additionally, we have data from millions of drone flights andpictures/videos of UAS on different backgrounds constantly training and enhancing these neural networks. Today, our massive sensor network continues to enhance these learning models to the next level creating a moat that truly differentiates our solution versus both legacy and emerging competitors.”

DedroneTracker.AI serves as the heart of Dedrone’s end-to-end counterdrone solution. By taking inputs from multiple sensors including radio frequency (RF), radar, video and acoustics, it confirms drone presence and determines precise location of drone and pilot. Based on behavior, imagery, historical flight data, and other inputs, the AI engine offers the operator a single queue of risk- prioritized targets through autonomous background interrogation of unauthorized drones while simultaneously tracking multiple friendly drones. The new version of the software also allows for the operation of mitigation tools directly from the same interface.

The company most recently launched DedroneTactical, its agile counter-small uncrewed aerial system (CsUAS) expeditionary kit for any sUAS-based threat profile and location. The company also offers City-Wide Drone Detection, a zero-install airspace security solution for both law enforcement and security professionals; DedroneFixedSite, an on-site multi-sensor solution designed for easy integration with extant security hardware; and DedroneRapidResponse, a mobile detection unit designed for easy setup and transport. All solutions and kits leverage DedroneTracker.AI and support constant updates to the software.

About Dedrone

Dedrone is the market leader in smart airspace security. Hundreds of commercial, government and military customers around the world trust Dedrone’s comprehensive, counter-drone command and control solution to protect against the persistent and escalating threat from drones. By leveraging AI/ML, Dedrone is the only solution that provides continuous, autonomous interrogation and verification of drones. Whether on-premise / air-gapped or in the cloud, Dedrone customers can easily detect, track, identify, analyze, and mitigate drone threats. Established in 2014, Dedrone is headquartered just outside of Washington, D.C., and has offices in San Francisco, CA, Phoenix, AZ, Columbus, OH, London, United Kingdom and Kassel, Germany. For more information on drone-related activity visit our global incident center or to reach our airspace security experts, visit dedrone.com and follow us on Twitter, Vimeo, and LinkedIn.

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