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每到夏季,蚊虫骚扰成为不少人生活中的困扰。传统的物理或化学驱蚊手段效果有限且可能存在健康隐患。为此,本文分享一款由Python开发的智能蚊虫追踪与驱赶系统源码,创新结合计算机视觉与超声波技术,可实现蚊虫自动识别与干扰驱逐。该系统使用摄像头实时捕捉环境中蚊虫活动轨迹,通过雷达式图像界面动态展示运动过程,并自动发射特定频率超声波进行干扰,从而达到驱蚊效果。
系统采用OpenCV进行目标检测,PyGame负责音频生成,Matplotlib负责可视化处理,核心算法基于NumPy构建,具备良好的跨平台性能与扩展性。检测部分通过MOG2算法完成背景建模,自适应光照变化环境;通过轮廓及圆形度分析准确区分蚊虫类型,结合简化的匈牙利算法实现多目标追踪。声波模块以22kHz为驱动频率,该频段为蚊虫敏感但人耳难以察觉,驱赶效果理想。
适合用于嵌入式开发、图像识别教学、智能家居项目或创意科研作品,源码结构清晰,便于学习和拓展。
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