Use smartphone detection terrorism: 'Wolf alone' is about to lose ground

Russian scientists are prepared to complete the calculation program, using only the features of a smartphone to identify abnormal behavior of individuals in the crowd, thereby helping to prevent timely behavior. terrorism.

The "lone wolf " , which refers to terrorists operating independently and spontaneously, has become a dilemma for Europe. Because of their individual activities, no cohabitation, no network or organization, it is difficult for functional forces to detect clues about the plots of terrorists.

However, dealing with the "lone wolf" could be easier thanks to the efforts of researchers at the National Nuclear Research Institute, the Moscow Institute for Technical Physics, who are developing a program A computer is capable of identifying an individual's behavior in the crowd , helping to prevent acts of terrorism in public areas.

The new program can help identify the suspicious behavior of terrorist suspects in the crowd.

RIA Novosti cited sources from the University as saying the program works by analyzing complex images from security cameras. This program helps identify and focus on suspicious individuals in the crowd based on how they walk, physique, costume ... Research and development of this program is entering its completion phase.

According to Vadim Danishin, head of the research project, the identification program does not require any expensive additional equipment, because the computing power of a smartphone is sufficient.

"We plan to test this invention, along with collecting and analyzing behavioral data of buyers and sellers in major shopping centers," Danishin said.

"In the future, our algorithms can be used to identify abnormal behavior, associated with surveillance cameras at airports, terminals and on public transportation." This is a priority for today's information security systems, " Danishin added.

In addition to security applications, this new program can be used for virtual reality games, interactive advertising at shopping centers, and to create device models that automatically classify the behavior of the drivers, pilots, doctors, firefighters or soldiers.