Research on Surveillance Technology Based on Channel State Information Technology Combined with Group Intelligence Cooperative Computing

Traditional visual surveillance systems have blind spots, resulting in a lack of information about the location and behavior of the surveillance target, while the lack of collaboration of a single visual sensor in traditional surveillance systems limits the acquisition of critical information. To solve this problem, this study proposes a surveillance technology scheme based on channel state information and group intelligence technology. The scheme utilizes CSI technology to design an indoor surveillance cooperative mechanism that can operate in smoke and dark conditions, even through barriers, to effectively monitor non-LoS targets, thus overcoming the blind spot problem of conventional visual surveillance systems. The system does not require the monitoring target personnel to wear sensors or configure specialized monitoring equipment, but rather realizes intelligent cooperative computing of multi-device groups through the breadth coverage characteristics of Wi-Fi information, combined with the changes in the intensity of CSI information caused by target motion, thus realizing real-time monitoring of the target, and improving safety and efficiency.