基于“Tec House”网络摄像头的HAAR级联方法的房屋建筑安全遥感系统

N. Santiyadnya, Kadek Reda Setiawan Suda
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引用次数: 0

摘要

家庭安全系统是每个房主都必须注意的事情,入室盗窃等犯罪往往会使房主面临风险。因此,我们需要一种可以远程自动整合的工具来保护房子。本文所研究的系统是一个基于网络摄像头的遥感系统。该传感系统中使用的方法使用haar级联分类器方法。从该遥感系统获得的结果用于在房主数据集上实施该系统,结果为98%,而非房主图像数据集的结果为96%。从使用Haar级联分类器方法的基于网络摄像头的遥感系统的结果来看,它可以正确地实现,平均误差为97%。这种Tec House工具的存在可以减少房屋或建筑物中的盗窃犯罪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Tec-House” WEBCAM-BASED REMOTE SENSING SYSTEM FOR HOME AND BUILDING SECURITY USING THE HAAR CASCADE METHOD
A home security system is something that every home owner must pay attention crimes such as burglary often put homeowners at risk. Therefore we need a tool that can bring together automatically remotely to protect the house. The system worked on in this article is a remote sensing system based on webcam. The method used in this sensing system uses the haar cascade classifier method. The results obtained from this remote sensing system are for the implementation of the system on homeowner data sets with 98% results, while for non-home owner image data sets with 96% results. From the results of using a webcam-based remote sensing system using the Haar Cascade Classifier method it can be implemented properly and the average error is 97%. The existence of this Tec-House tool can reduce the crime of theft in a house or building.
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