Door Security using Face Detection and Raspberry Pi

被引：0

作者：

Bhutra, Venkatesh ^{[1
]}

Kumar, Harshav ^{[2
]}

Jangid, Santosh ^{[1
]}

Solanki, L. ^{[3
]}

机构：

[1] BKBIET, Dept Elect & Commun, Pilani 333031, Rajasthan, India

[2] BKBIET, Dept Comp Sci & Engn, Pilani 333031, Rajasthan, India

[3] BKBIET, Pilani 333031, Rajasthan, India

来源：

3RD INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS (ICCS-2017) | 2018年 / 331卷

关键词：

D O I：

10.1088/1757-899X/331/1/012011

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

With the world moving towards advanced technologies, security forms a crucial part in daily life. Among the many techniques used for this purpose, Face Recognition stands as effective means of authentication and security. This paper deals with the user of principal component and security. PCA is a statistical approach used to simplify a data set. The minimum Euclidean distance found from the PCA technique is used to recognize the face. Raspberry Pi a low cost ARM based computer on a small circuit board, controls the servo motor and other sensors. The servo-motor is in turn attached to the doors of home and opens up when the face is recognized. The proposed work has been done using a self-made training database of students from B.K. Birla Institute of Engineering and Technology, Pilani, Rajasthan, India.

引用

页数：7

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