Neural Network Surveillance to Monitor Students in Yekaterinburg Schools

Schools in Yekaterinburg are set to implement a neural network system designed to monitor students, detect specific words and sounds, and send alerts to a rapid response team. This information was shared with Komsomolskaya Pravda by Mikhail Ladeyshchikov, Deputy Head of the Department of Education of the Yekaterinburg city administration. He described the system as a “remote panic button.”

“Whenever any of these events occur, a signal will be immediately sent to the rapid response team, which, by connecting to the camera, will be able to see what is happening and decide whether to respond in person,” Ladeyshchikov explained.

The system is planned to be installed in two schools in the city, though the specific schools have not yet been named. If the project proves successful, other educational institutions may also be connected to the neural network. Additionally, these schools may be equipped with a video analytics system capable of detecting sudden aggressive movements, fights, dangerous objects in students’ hands, and smoking.

Background and Expansion Plans

The decision to use a neural network in Yekaterinburg schools was made following shootings at a Kazan gymnasium and Perm State University. In June of this year, it was also reported that a school in the Moscow region would be equipped with a predictive safety system. This system will include smart cameras capable of recognizing unusual behavior or dangerous situations, such as running in the hallways or sliding down railings. It is also expected that the neural network will learn to identify a child’s psycho-emotional state by comparing it to preset patterns.