Pi相机距离对人脸识别的影响

Y. Bahtiar, Oni Yuliani, Arif Basuki, Iyus Rusmana
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引用次数: 0

摘要

人脸识别是一项生物识别技术,在本世纪已经非常流行。它不仅可以作为一个人的身份证明,还可以作为一种媒介来保护公司和相关机构的隐私数据,甚至是某人的私人房间。各种类型的开发更加精确,要么直接使用笔记本电脑,要么使用嵌入式系统。树莓派是嵌入了Picamera的媒介,能够在确定的区域检测到人的存在。使用的算法是haarcascade,结合有向梯度直方图作为数据库编码。数据库中包含来自被调查者的每个样本的矢量将与实时摄像机捕获进行比较。因此,人脸可以被识别为物体,并根据主人的名字进行识别。物体放置范围为0.5米~ 3米。光强对检测过程也有影响。在这样一个大小的勒克斯的白天,相容性最高。
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Pi Camera Distance Effect on Face Recognition
Face recognition is biometric technology has been awesome and popular in this century. Not only as an identification of a, it can can be used as a medium to secure the privacy data of companies and related agencies, even for someone's personal room. Various types have developed more precisely, either directly using laptops or embedded systems. Raspberry Pi is embedded medium with Picamera is able to detect the presence of a person in a determined area. The algorithm used is haarcascade with a combination of histogram of oriented gradient as database encoding. The database containing the vector of each sample from the respondent will be compared with real time picamera capture. As a result, faces can be recognized as objects and according to the owner's name. The placement of objects varies from 0.5 meters to 3 meters. Light intensity also given effect on detection process. The highest level of compatibility occurs during the day with lux of such a size.
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