DEVELOPMENT OF A SYSTEM OF SELECTIVE SUPPRESSION OF WIRELESS SIGNALS

Abstract

The use of devices with wireless data transmission has long become commonplace in today's world. Such devices include smart watches, wireless headphones and headsets. Such devices provide mobility and convenience with the absence of wires and high functionality. One of the significant disadvantages of using wireless devices is a decrease in the efficiency of human perception of the surrounding world, in particular it concerns the auditory channel of information. Especially acute such a problem arises when pedestrians crossing railroad tracks wearing headphones. In this paper a solution to such a problem is proposed, a system of selective suppression of wireless communication, namely Bluethooth and Wi-Fi signals is considered. Such a system based on unique algorithms has the ability to detect the approach of pedestrians to railroad crossings using video cameras, and based on scanning and analyzing the airwaves of surrounding wireless networks can selectively suppress Bluetooth and Wi-Fi signals in the area of the installation. Thus, the system disables pedestrians' wireless devices near railroad crossings, thereby drawing their attention to the prohibited traffic signal, light and noise signaling, and approaching train. The system is based on a master control microcontroller, which controls, via relays, the power supply to turn on the suppressor only when wireless signals to be suppressed are detected in range or when pedestrians are in the field of view of video cameras. In addition, the system involves a method for estimating patterns of pedestrian behavior during wireless suppression based on neural network-based pattern recognition, followed by interpretation of the resulting data. This will make it possible to collect statistical information in order to analyze the reaction of people to the operation of the system near railway crossings.