Eagle.one – drone hunter

Eagle.One is an advanced autonomous drone hunter uniquely equipped to help guard airspace from rogue drones. Our drone hunter can easily be integrated into a comprehensive anti-drone solution.

In light of the recent cases of drones (UAVs) invading civilian airports, anti-drone and drone hunting systems have become a desired solution amongst rising fears of the use of modified consumer multicopters for terrorist attacks at critical infrastructure and anonymous threats to factories, stadiums, and government institutions.

Together with the Multi-Robot Systems Group of Czech Technical University in Prague, we have developed an autonomous anti-drone solution: Eagle.One.

Use cases

  • Military & defense – a small drone carrying weapons or explosives can pose a significant threat necessary to be dealt with
  • Airport security – with over £50 million in damages, the Gatwick Airport drone incident of 2018 was a wake up call to airports all over the world 
  • Prison guarding – the use of drones to traffic drugs and weapons is predicted to become a widespread issue in the coming years
  • Critical infrastructure protection a growing number of  serious incidents involving critical infrastructure, including terrorist activities and cyber threats, require new approaches to protection
  • Industrial and private areas securitypaparazzi and industrial espionage drones have presented a massive risk to private entities in recent years

Hunting enemy drones – how it works

An autonomous aerial intercepting system (AAIS) detects an intruder drone in a particular no-fly zone, typically using radar and pre-installed cameras. The system distinguishes a drone from other objects (such as birds) and alerts an operation center. If an operator decides to eliminate the intruder, Eagle.One takes off and flies towards the area of the intruder drone’s estimated position.

The Eagle.One drone hunter utilizes a depth image from a stereo camera to facilitate the onboard detection of drones and flies in their proximity. This method does not rely on using any kind of markers, which enables localization of non-cooperating drones. The output of the detection algorithm is filtered by a 3D multi-target tracking algorithm to reduce false positives, preserve temporal consistency of the detections, and to predict positions of the drones (e.g. to compensate camera and processing delays). Using neural networks, the onboard artificial intelligence is able to detect, classify, track, and predict the movement trajectory of the intruding drone in order to plan the offensive manoeuvre.

Eagle.One hunts enemy drones by catching them with a deployed net. A net gun launches and casts the net over a large space, thereby increasing the likelihood of successful intervention when compared to other solutions. The shot is triggered autonomously by an onboard computer. The trigger can also be preceded by a confirmation from the system’s operator. However, security critical applications can use the system solely in autonomous mode without any operator in order to speed up the defensive manoeuvre. 

After deployment, the net remains connected to the Eagle.One drone hunter via a rope, preventing the caught drone from being dropped. It can then safely transport and land the target at a specific location for further investigation. Any enemy drones captured by the net are usually only slightly damaged.

Further Readings

For more details, visit: http://www.eagle.one

For more information about the science behind this system, read onboard marker-less detection and localization of non-cooperating drones for their safe interception by an autonomous aerial system article.

Check also our implemented deployments.

Fotogalerie