lyricstech.eu

lyricstech.eu

In Israel, they have developed a radar for searching for objects behind the walls — system called Xaver 1000. It is intended for intelligence units, rescuers and law enforcement agencies. The radar received an artificial intelligence-based target tracking algorithm and a system for visualizing objects behind obstacles. Xaver 1000 can recognize the pose of a person behind a wall.

Radar for searching for objects behind the walls – Xaver 1000. http://www.youtube.com/

How does it work?

The radar received a tripod for installing the system and a touch screen with a diagonal of 10.1 inches. Management is intuitive. The display also features easy menu navigation and built-in data recording and playback for analysis, training and post-mission debriefing. The completely radiation-safe system complies with international human exposure standards. The Xaver 1000 can record received data. It is operated by a single user and is ready to use at the touch of a button.

The photo attached to the description shows this system. It looks like a large turtle flattened on the wall, on the “shell” which the display is located.

How does it work?

How the Israeli system works is not described. Let's try to guess this by considering the general technologies of “seeing through walls”. The principle of operation of the devices is the same as in other radars: the sensors scan the area being viewed with radio waves, which, when an obstacle is detected, return to the receiver, and it registers the reflected radiation. Seems simple, but in reality, you have to combine several technologies and advanced data processing methods in one device.

Most of these radars operate in the 1-10 GHz frequency range. Radiation in this range is suitable for penetrating concrete, wood, plastic, glass and other walls. The higher the frequency, the less penetration of radiation through the walls. In turn, higher frequencies increase the accuracy in determining the size of the object and the distance.

Purpose

Such a system is suitable for tactical and reconnaissance operations. It is indispensable for military, law enforcement, search and rescue teams and intelligence units operating in a variety of situations, including hostile urban environments and natural disasters. In particular, the XaverTM 1000 determines the most appropriate approach to ensure successful rescue operations in various operational scenarios such as hostage rescue. According to the developer, high-resolution 3D imaging and other powerful system tools provide an exceptional level of situational awareness.

What can you do?

The radar received an artificial intelligence-based target tracking algorithm and a function that allows you to detect and visualize static objects behind walls and other obstacles. It's called “3D Sense-Through-The-Wall” — literal translation of «I feel through the wall». High resolution imaging allows you to recognize parts of the human body. The Xaver 1000 can also determine the position of a person behind a wall and classify targets by type. For example, it is possible to understand whether an object is sitting, standing, or lying down even after it has been stationary for a long period of time.

The system also allows users to measure the height of objects and decide whether they are adults, children or animals, which gives a clear advantage in work and the ability to “step into the known.”

Disadvantages

Such devices have many limitations. One of them is the fact that radio waves do not penetrate metal. Because of this, they cannot identify a person in a closed car or in a building covered with a layer of aluminum. Water has metal-like properties: wet porous concrete — this is also very good protection against radio waves of the desired range.

The signal level attenuates a thick layer of concrete or brick, and if the sum of the thickness of the walls separating the radar from the desired object , exceeds 30 centimeters, it will be impossible to detect.

Source: defense-blog.com

Rate the material

Источник aif.ru

Leave a Reply

Your email address will not be published.