📞 +91-7667918914 | ✉️ iarjset@gmail.com
International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
IARJSET aligns to the suggestive parameters by the latest University Grants Commission (UGC) for peer-reviewed journals, committed to promoting research excellence, ethical publishing practices, and a global scholarly impact.
← Back to Archives

Raspberry Pi based Security Surveillance with Face Detection

Ms. Patil Sahyadri N, Mr. Devrukhkar Akshay S

👁 4 views📥 0 downloads
Share: 𝕏 f in
Abstract: The Raspberry Pi is a credit-card sized chip or mini computer is used in surveillance to the security of thefts. This system is crucial for the safety purpose of these days. In this paper focuses on only detect the face by using Opencv (Open Source Computer Vision) technique. ARS (Audience Response System) captures and identify the face of the theft and then ARS system notify the user. The process of notification is done by sending short message service (SMS) through Global System for Mobile communication (GSM) Module. The people i.e. human faces, are one of most common and specific objects that we try to trace in images. Face Detection the first step is analyzing the face of thefts then detect the person. In this paper we presented various methods of face detection, which are commonly used. These are various methods are Local Binary Pattern (LBP). Keywords: Raspberry pi, GSM module, Opencv, Surveillance, Camera, Local Binary Pattern (LBP).

How to Cite:

[1] Ms. Patil Sahyadri N, Mr. Devrukhkar Akshay S, “Raspberry Pi based Security Surveillance with Face Detection,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET/NCIARCSE.2017.03

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.