Autonomous complex "Huntsman" — complete cycle of detection, targeting and neutralization of aerial threats using artificial intelligence. Developer - LLC "Neurotech" - resident of the Skolkovo Innovation Center.
In recent years, fuel and energy complex facilities and critical infrastructure in Russia have been subjected to systematic attacks using unmanned aerial vehicles. Traditional air defense and electronic warfare systems often prove economically ineffective against mass deployment of cheap UAVs.
The main difficulty in interception lies in the low visibility of drones, their high maneuverability and low cost. Hitting a maneuvering FPV drone with firearms is an extremely difficult task even for professional shooters, as confirmed by specialized testing.
In practice, hitting a drone with firearms even at close ranges is a serious problem even for an experienced competitive shooter .
* Video demonstration of the difficulty of intercepting an FPV drone by a world-class specialist.
Tactical reconnaissance drone
Compact FPV drone
Long-range strike UAV
Assault drone
Reconnaissance complex
Over 50 types of UAVs of various classes pose a threat to fuel and energy complex facilities
Click on image to enlarge
Compact size and special coatings make UAV detection difficult for traditional systems
Speed and ability for sharp trajectory changes make drones difficult targets
Low cost of attacking UAVs makes traditional air defense systems economically impractical
Developed as part of the project "Anti-Drone Turret" in Skolkovo , the complex closes the "detection-engagement" loop without human involvement
The hardware-software complex "Huntsman" is an integrated solution capable of fully automatically performing search, identification, tracking and neutralization of aerial threats in real time.
The system analyzes video streams from surveillance cameras using computer vision algorithms based on neural network models trained to recognize a wide range of UAVs in various weather conditions and lighting.
Complete cycle from detection to engagement without operator intervention
Works with CCTV cameras and perimeter control systems
Modular design allows system adaptation to specific tasks
Neural network algorithms based on domestic FPGAs using residue number systems (RNS) for computation acceleration
Servo drive system with subpixel positioning accuracy and compensation for external disturbances
Combined application of kinetic engagement and laser blinding for various threat scenarios
The "Huntsman" computer vision system provides UAV detection and classification at ranges up to 4 km
Demonstration of computer vision algorithms detecting a DJI Mini 3 drone measuring 25×36 cm. The system confidently detects the target at 300 m range.
Screencast of "Huntsman" software operation. Left — processed video stream with highlighted targets, right — original camera image from Beward. Algorithms detect practically invisible targets.
8 MP camera, conditions: daytime, visibility > 10 km
| UAV Class / Target Type | Dimensions | Detection Range |
|---|---|---|
|
FPV drone (copter)
|
30 × 30 cm | 300 m |
|
"Baba Yaga" (multirotor)
|
95 × 95 cm | 1,200 m |
|
UAV "Bober"
|
2.0 × 3.0 m | 2,400 m |
|
UAV "Lyuty"
|
4.4 × 6.7 m | 4,000 m |
Ranges are for confident detection conditions (probability > 95%). Due to lack of "Bober" and "Lyuty" samples, testing was conducted with analogues of corresponding dimensions.
Under legislative restrictions on firearm use in civilian sphere, we have developed a complex for blinding UAV optoelectronic systems using directed laser radiation.
Laser impact on drone video camera matrices causes their temporary or permanent blinding, significantly hindering operator work or autonomous UAV guidance systems, creating critical time gap for countermeasures.
Unlike kinetic engagement, use of laser systems against UAVs is not restricted by current Russian legislation , opening possibility for their wide use in protection of civilian critical infrastructure facilities.
No risk of damaging own infrastructure or personnel
Speed of light ensures immediate effect
Full compliance with Russian legislation
Economic efficiency compared to traditional means
Turret prototype design developed to eliminate limitations of PTZ video camera-based systems, select PID coefficients for servo motors, and conduct field tests.
Standardized mount for various engagement means
APK "Huntsman" is equipped with standard Weaver/Picatinny Rail type mount, allowing use of wide range of standard and special weapons, as well as laser engagement systems.
Minimal recoil.
Semi-automatic 12 gauge
Classic design with proven reliability
Click on image to enlarge
Flexible architecture of APK "Huntsman" allows system adaptation to various application scenarios and scaling protection to facilities of any complexity
APK "Huntsman" architecture is built on modular principle, ensuring seamless perimeter protection scaling. Deployment is based on standardized security module with area of 1 km².
Central node of the system is management server, accumulating data flows from corner video sensors. Sensors equipped with optics with 160° field of view form cross-observation zones, eliminating "blind spots" and ensuring stereoscopic detection accuracy within perimeter.
External active defense contour is formed by network of 8 autonomous turrets, deployed 200 meters from main fencing. Upon UAV detection (marked as diamond on diagram), server instantly calculates ballistic solution and issues command for interception to installations closest to target.
APK "Huntsman" server processes data from 4 video sensors and coordinates 8 turrets, ensuring unified management system
Standard 1 km² module easily scales to facilities of any area by adding additional modules
Time from detection to opening fire is less than 2 seconds thanks to direct server-turret connection
Mobile active protection module against FPV drones for installation on armored vehicles. Autonomous detection and engagement of approaching drones before their contact with protected object.
Details in analytical report →Autonomous UAV launched towards threat and engaging target by ramming or special net without need for constant operator communication. Capable of operating under electronic warfare conditions.
Project details →"Servitor" project aims to create hardware-software complex for accelerating neural network computations based on domestic processors. In perspective will allow replacing imported platforms (NVIDIA) in APK "Huntsman" with Russian analogues, ensuring technological independence.
Project details →For drone detection at night, in cooperation with NPC "Atom" we have recorded significant volume of drone video through thermal imager. Soon dataset will be annotated for AI training, and APK "Huntsman" will gain "night vision".
For developments on these topics, our team received the following certificates and patents
No. 2023660446 dated 19.05.2023
Authors: Sivkov S.P., Shalimov A.V., Shalimova M.A., Terekhova M.A., Shalimov A.A., Shalimov B.A.
Rights Holder: LLC "Neurotech"
No. 2023680866 dated 06.10.2023
Authors: Sivkov S.P., Shalimov A.V.
Rights Holder: LLC "Neurotech"
No. dated 08.12.2023
Authors: Terekhova M.A., Sivkov S.P., Shalimov A.V., Shalimov B.A.
Rights Holder: LLC "Metacom-Alpha"
No. 2025611484 dated 20.01.25
Authors: Sivkov S.P., Shalimov A.V.
Rights Holder: LLC "Neurotech"
"Device for Protection Against Unmanned Aerial Vehicles" dated 12.02.2023
Authors: Sivkov S.P., Shalimov A.V., Bazhin S.S.
Rights Holder: LLC "Neurotech"
"Digital Image Processing Method" dated 30.06.25
Authors: Sivkov S.P., Shalimov S.P.
Rights Holder: LLC "Neurotech"
"Neural Network Video Stream Processing with Hardware Inference Implementation Based on RNS" dated 28.03.25
Authors: Sivkov S.P., Shalimov S.P.
Rights Holder: LLC "Neurotech"
Our team continues work on new patents
We are interested in implementing full cycle from development to serial production of UAV protection system
Development of completed UAV countermeasure system based on artificial intelligence, capable of fully automatically detecting, tracking and engaging aerial targets, including laser technology application.
Deployment of system prototypes at customer facilities, conducting field tests in real conditions, eliminating identified shortcomings and optimizing system according to specific consumer requirements.
Organization of serial protection system production and supply to fuel and energy complex and critical infrastructure facilities. Considering various cooperation options, including joint ventures.
Full Name
Limited Liability Company "NEUROTECH"
Tax ID (INN)
5906172713
KPP
590601001
Head
Shalimov Anton Vladimirovich