Today, hundreds of civil drone modelings are available for sale — from fairly simple toys to impressive aircraft built to carry substantial force. Most of them are used for entertainment or aerial video. But, as is the case with nearly all technologies, sooner or later someone introduces them to malicious consume. That forms demand for systems to get rid of unwelcome aerial presence. Demand, in turn, breeds supply, and our fanatics have developed a solution called Kaspersky Antidrone.

How can one be wronged by a hum?

To begin with, any civil UAV is, above all, a remotely held camera. Naturally, the world has already seen reports of hums used by burglars to identify potential targetsand research defense systems; by headline hunters to get footage of film sets for then-unreleased episodes of Game of Thrones; and by some strange individuals to peep into the private lives of St. Louis residents.

Drones can also carry loadings and, therefore, serve as smuggling vehicles. Genuine, their weight-lifting ability remains missing even further, but you don’t need much of that as far as certain substances disappear. In fact, according to The Washington Times, Mexican drug organizations use hums extensively to smuggle stimulants across the U.S. borderline. Potentially, drones can also be used to steal expensive substances( such as platinum or diamonds) from guarded facilities.

And eventually, a drone is a piece of metal that may suddenly slam into something. I am not even referring to purposeful ramming onrushes. There are many reports of drone collisions that have led to rather unwelcome causes.

How to combat monotones

Of course, we were not the first to come up with an idea for a monotone repellent. Other corporations have proposed a variety of UAV response procedures. Some of them render detecting systems that only advise the user about approaching monotones, but others try to combat this aerial threat more actively.

Some have suggested the use of cyberspaces; others would improve greedy birds to serve as interceptors. Some plans use a counterfeit GPS signal to disorient the invention. But most antidrone answers represent alterations on an electromagnetic gun designed to bring the hum down, which we believe is fundamentally wrong — not to mention , not always legal — just like attempts to hack communications between the apparatus and its remote control unit. We favor “the worlds largest” noninvasive approach of all: targeted inhibition of communications between the remote control unit and the drone.

As soon as the power signal is lost, a normal UAV will immediately originate the platform procedure or try to return to the launch site. Some poses are programmed to hover or fly to a different location in such instances, but these are rather an exception to the rule.

But landing a drone is only half the combat. At the heart of our answer lies a structure for automatic identification and the categories of aerial objects.

The principle behind our method

As you might guess, we do not invent any jamming or detecting equipment. We are a software company. Therefore, our professionals have written software that uses data from various sources to spy monotone coming, target jamming feelers at it, and force it to moor. The mixture is adapted to the customer’s actual needs and configuration by our structure consolidation partners.

Primary sensing

To understand that a UAV is approaching the protected country, the primary perception module is exercised. A sensing module is virtually any device able to scan the airspace over your bound — a camera, lidar, radar, or an acoustic sensor. In fact, even IPTV cameras can feed data to our organization( supported this includes fairly sky ).

Each method has pros and cons. Our demo setup works a lidar — a manoeuvre that spies objects and measures distance consuming monochromatic lamp release( in such a case, a laser ). True, it can detect an airborne objective at a shorter distance than, say, radar. But it can also tell a hum from a bird from much farther away. It also is not subject to specialized licensing( in some countries it is next to inconceivable to obtain approval for the use of radar in a populated area; radar emanates radio signals that may conflict with other gear ).


Once it has assured( or examine) aerial existence, the primary spotting module moves the object’s reckon coordinates to the server and the classification-and-jamming module. This module aims a high-accuracy camera toward the flying object and gets it in focus. The idol is sent to the server, where the actual classification makes place.

Thanks to machine-learning algorithms, our structure can not only distinguish between chicks and dronings, but even determine the actual drone model. As soon as the program substantiates the object to be a UAV, it initiates targeted noise contemporary. True enough, attacks may is trying to disguise their hum, but then it will simply be classified as a UFO — and the system will respond to a UFO the course it is programmed by the user. To be on the safe side, it is better to jam across the entire available frequency range.

Rig compelled

Basically, everything depends on the needs and resources of the customer, as well as the integrator. The essential part are the jamming equipment comprising the frequencies used by drone producers, a server to run our application, and a high-accuracy camera. Any primary detection devices can be used, and they can be combined to improve detection accuracy or range.

One jamming module can move one target. This is normally more than fairly, but in case you envision is under attack by slews of hums, the system is quite easily scalable. The server simply needs to be potent enough to process the incoming data.

If needed, a mobile solution can be designed to be prepared on a automobile — not to operate while on the move( this is possible, but it would require a minor software update, and so far we have not visualize any demand for this option ), but for field use. “Its exactly” the modification to respond to the movie industry’s needs to prevent unauthorized film set photos.

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