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 to build a customizable and effective detection and mitigation 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, different types of anti-drone solutions can be ntegrated 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.

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.

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.

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 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

The anti-drone system is installed and operated in accordance with the user guide that is available upon request from an authorized partner.

Operating system 22.04 LTS
Latest version of NVidia driver

FAQ

This software enables real-time detection and tracking of unmanned aerial vehicles while analyzing their trajectories using machine learning algorithms. The system automatically classifies objects and, if necessary, activates mitigation tools to prevent potential incidents.

When using Kaspersky Antidrone software, anti-drone protection of a facility or site does not depend on just one vendor. Our software allows you to use hardware from various vendors in a single unified protection and monitoring system. It also allows for future modifications of the system based on the changing threat landscape without compromising the integrity and security of the system, and you can use a single UAV monitoring window for all your needs. The system employs a unique neural network, which is confirmed by the technological patents it has earned.

Role of software in the antidrone system

FAQ

This software enables real-time detection and tracking of unmanned aerial vehicles while analyzing their trajectories using machine learning algorithms. The system automatically classifies objects and, if necessary, activates mitigation tools to prevent potential incidents.

Contact us

If you want to purchase Kaspersky Antidrone, ask a question, or submit a request for a demonstration, please get in touch with us.

Role of software in the antidrone system

FAQ

This software enables real-time detection and tracking of unmanned aerial vehicles while analyzing their trajectories using machine learning algorithms. The system automatically classifies objects and, if necessary, activates mitigation tools to prevent potential incidents.

Why does a drone detection system need software?

If we install Kaspersky Antidrone, do we need to renew the license, and if so, why?

What is the advantage of Kaspersky Antidrone software over its competitors?

Contact us

If you want to purchase Kaspersky Antidrone, ask a question, or submit a request for a demonstration, please get in touch with us.