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What are counter-drone systems and how can they clip the wings of a growing threat from above? MIGMG News

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With the advancement of the world and the development of technology, the threats facing a country like India are also changing. In recent years, the security services have repeatedly raised concerns about the increasing use of drones particularly by terrorist groups and Pakistani elements to smuggle weapons, explosives, ammunition and narcotics across the western borders of India, as well as to spy on and target vital installations.

Anti-UAV systems are designed to counter and interfere with UAV technologies in various ways and are used to detect and/or intercept unwanted drones and unmanned aerial vehicles (UAVs).

They are often deployed to protect areas such as airports, critical infrastructure, large public spaces such as stadiums and military installations, as well as battlefield sites.

There are different forms of anti-drone technology and systems available today, and there are several ways to classify them. This is one way, according to 911 security.com.

sound detection: Drones make a very specific sound. There are devices that can listen to the very specific frequencies that tinnitus devices emit, and they work fairly well. In a quiet pastoral environment, these devices can detect the approach of a drone with an accuracy of about 500 feet. A study conducted by Korean researchers and published in January 2017, tested these devices in a real urban environment. When used in a more noisy environment, the sound detectors had more trouble accurately identifying incoming drones.

RF Technology: Drones operate using radio frequencies to communicate with their operators. To keep the receiver and transmitter connected, they are paired with specific RFID chips that prevent other devices on the same frequency from bypassing the drone.

Jamming devices: Jammers work by blasting electromagnetic noise at radio frequencies that the drones use to operate and transmit information. Effectively, they drowned out the conversation between the drone and its operator. This is usually either 2.4GHz or 5.8GHz, which are generic, unassigned frequencies. This prevents jammers from interfering with manned aircraft, cell phones, public broadcasts, or other designated radio bands. Jammers can be either stationary, mounted, or built into high-mobility, pistol-like devices that can cause a drone to land safely on the ground far from where it might intend to go.

geofence: Geofencing works to create a barrier surrounding an airspace using a combination of GPS and LRFID (Local Radio Frequency Identifier) ​​connections such as Bluetooth or Wi-Fi. These boundaries are created using a combination of hardware and software to create a physical and invisible boundary that surrounds airspace. Some drone manufacturers embed geolocation technology inside their aircraft, to alert pilots when they enter no-fly zones or restricted airspace such as prisons, power stations or airports.

Video reveal: Video can be used in conjunction with other drone detection technologies to create and relay a visual record of a detected drone incident. Due to factors including weather, or changes in season, video detection is not an ideal first line of defense when detecting drones, but it can be a valuable tool for recording drone incidents for future review.

thermal detection: Thermal imaging is also not a great first line of defense in detecting drones, but it can be a useful tool for finding drone operators in a remote area. For example, in a limited space such as the space around a power plant. If a drone is detected within the airspace, thermal imaging cameras connected to the drone operated by power station security personnel can be used to help locate the nearby operator of the drone.

Radar detection: Drones are often small aircraft that fly at a low altitude, which makes them very difficult to catch with radar. Radar technology is great for locating manned, large, or long-flying aircraft in conventional skies, but its capabilities fall short of detecting drones well.

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