高斯混合模型对物流仓储安全管理的研究

Application of Gaussian Mixture Model in Logistics Warehousing Safety Management

仓储安全在仓库安全管理中占据重要的地位,为提高企业仓储安全管理水平,以淮南市某企业的物流仓库为研究对象,通过采集目标信息,提取数字视频监控信息,并进行智能分析,对运动目标背景建立高斯混合模型,然后运用目标检测算法,使用VS2010结合OPEN CV进行仿真实验,最后,检测出仓库监控区域的异常行为,并发送报警信息,从而能及时采取措施降低仓储安全风险。

Warehousing security plays an important role in the warehouse security management. In order to improve the level of enterprise warehousing security management,this article takes the logistics warehouse of a company in Huainan City as the research object,collects the target information,extracts digital video surveillance information,and performs intelligent analysis. We establish a Gaussian mixture model and with the target detection algorithm,VS2010 and OPEN CV,we conduct a simulation experiments to detect abnormal behavior in the warehouse monitoring area and send alarm information so that measures can be taken in time to reduce storage security risks.