The application of electronic fence technology in visual surveillance alarm systems
As demand for visual monitoring alarm systems grows,traditional security systems face challenges in intrusion detection accuracy and high false alarm rates.This paper delves into the application of electronic fence technology in wireless LAN visual monitoring,using DDS and FPGA for signal detection and fault localization.It employs adaptive filtering,Empirical Mode Decomposition(EMD),and multi-core support vector machines for pulse signal analysis.Additionally,an intelligent video image collection algorithm was designed.Simulation results demonstrate that these technologies significantly enhance detection accuracy,reduce false alarms,and strengthen real-time monitoring capabilities,thereby supporting system performance improvement.
万方数据
维普
