【摘 要】
：
在特殊生产车间环境下,为了生产操作人员的生命安全,本文结合实际应用场景,设计了一种基于深度学习双层模型应用的安全帽与口罩图像识别检测管理系统。该系统为生产车间安全管理员提供web端应用服务,本系统分为四个模块:实时监控模块、历史记录处理模块、违规统计模块、人员管理模块。旨在提高实时识别效率进行现场警示与违规行为记录的同时,辅助安全管理员进行安全管理与相关违规记录处理,实现基于计算机技术的智慧操作环
论文部分内容阅读
在特殊生产车间环境下,为了生产操作人员的生命安全,本文结合实际应用场景,设计了一种基于深度学习双层模型应用的安全帽与口罩图像识别检测管理系统。该系统为生产车间安全管理员提供web端应用服务,本系统分为四个模块:实时监控模块、历史记录处理模块、违规统计模块、人员管理模块。旨在提高实时识别效率进行现场警示与违规行为记录的同时,辅助安全管理员进行安全管理与相关违规记录处理,实现基于计算机技术的智慧操作环境,减少安全隐患。
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