电子围栏技术在视觉监控报警系统中的应用

The application of electronic fence technology in visual surveillance alarm systems

随着视觉监控报警系统需求的增长,传统安防系统在入侵检测的准确性和误报率方面存在挑战。文章深入研究了电子围栏技术在无线局域网视觉监控中的应用,采用DDS和FPGA进行信号检测和故障定位,并利用自适应滤波、经验模态分解(EMD)及多核支持向量机等技术分析脉冲信号。同时,设计了智能监控视频图像采集算法。仿真结果显示,这些技术能有效提高检测准确性,减少误报,增强系统实时监控能力,为提升系统性能提供支持。

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.