Role of software in the antidrone system
Software algorithms employing a neural network play a crucial role in the Kaspersky Antidrone system. They allow you build a customizable and effective detection and counteraction system for any facility while providing the capabilities for scaling and upgrades in the future. The software used improves the accuracy of drone classification, reduces false positives, and gives the system operator time to analyze the situation and make a decision.
Enhanced integration capabilities
Thanks to its advanced API, around 75% of Russian-made anti-drone devices and other international solutions have been integrated into the Kaspersky Antidrone software. It has been integrated with SIEM systems, flight planning systems, and other security systems. The system can be efficiently and quickly scaled not only at the site level, but also at the regional level.
Enhanced integration capabilities
Thanks to its advanced API, around 75% of Russian-made anti-drone devices and other international solutions have been integrated into the Kaspersky Antidrone software. It has been integrated with SIEM systems, flight planning systems, and other security systems. The system can be efficiently and quickly scaled not only at the site level, but also at the regional level.
Event clustering
The unique algorithms of Kaspersky Antidrone compare information received from radars, radio frequency direction finders, detectors, optical and thermal imaging cameras, and other hardware. The data is integrated, and only confirmed events and relevant information is displayed on the screen.
Event clustering
The unique algorithms of Kaspersky Antidrone compare information received from radars, radio frequency direction finders, detectors, optical and thermal imaging cameras, and other hardware. The data is integrated, and only confirmed events and relevant information is displayed on the screen.
Interface based on a custom-built engine
A set of unique visualization technologies and proprietary frameworks is used to generate maps. The interface easily displays a large number of graphical elements in real time. All this makes it faster and easier to work with Kaspersky Antidrone. It can be adapted for different types of screens, including for computers, tablets and smartphones.
Interface based on a custom-built engine
A set of unique visualization technologies and proprietary frameworks is used to generate maps. The interface easily displays a large number of graphical elements in real time. All this makes it faster and easier to work with Kaspersky Antidrone. It can be adapted for different types of screens, including for computers, tablets and smartphones.
History and reporting
The system archive stores information about all incidents, including false positives for example, detection of birds). The system easily creates PDF flight reports for a selected period based on specific characteristics, such as the takeoff location, pilot location, flight start and end times, and other information.
History and reporting
The system archive stores information about all incidents, including false positives for example, detection of birds). The system easily creates PDF flight reports for a selected period based on specific characteristics, such as the takeoff location, pilot location, flight start and end times, and other information.
Intuitive interface
State-of-the-art UAV detection applications have a complex control interface and require the operator to have certain technical knowledge. Data overload increases the reaction time and, consequently, increases the impact from human error and the risk of missing a drone. Kaspersky experts are proposing a completely new approach to data visualization in anti-drone systems. Monitoring the airspace around your facility will be as easy as using a car navigation system.
Deployment of a new neural network version for optical modules
Artificial intelligence (AI) and neural networks
The Kaspersky Antidrone detection and monitoring system uses a neural network developed by Kaspersky programmers. It enables PTZ cameras that are part of the system to detect, classify and track drones (including custom-built UAVs). This neural network is used exclusively within the Kaspersky Antidrone system. An improved version of the neural network was released in 2024. Its recognition quality and performance increased by 10% on average.
System requirements
- Operating system 22.04 LTS
- Latest version of NVidia driver
The anti-drone system is installed and operated in accordance with the user guide that is available upon request from an authorized partner.