UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907P08


Registration ID:
224013

Page Number

65-69

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Title

SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION

Abstract

School security is growing. To ensure security in the school, a facial recognition system can be implemented. A standard camera captures the image to identify the person. It is a prototype that identifies the visitor. When the door recognizes the visitor, they are greeted by their name and the door is unlocked with the name "open". If they are not identified, the door is locked. The system performs recognition and detection quickly in real-time. In this project, the basic webcam and the Internet connection are used to create a door that is opened by facial recognition. If the visitor is recognized by the door, the door is unlocked! This project mainly adds four functions to school automation: security, control, motion detection, and monitoring. First, the system requires facial authentication so that the user can enter the School(locked/unlocked). When an unauthenticated user attempts to log in, that face is captured and sent to Dropbox as an attachment. The system must also support the remote control of the school. This paper details the design and development of Wi-Fi connectivity based on School security surveillance cameras using Raspberry Pi and an IoT Module reducing continuous human monitoring and controlling with enhanced performance and effective results. The user is warned via Dropbox notification after an unusual behavior occurs and event notification is sent which shows the events captured by the camera. Face recognition has been one of the most interesting and important topics in research fields as it deals with security and privacy. The human face plays a critical role in our social association, passing on individuals' identities.

Key Words

emotion analysis, human identification, face detection, face/head tracking.

Cite This Article

"SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.65-69, June 2019, Available :http://www.jetir.org/papers/JETIR1907P08.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION SECURITY SYSTEM BY USING FACE RECOGNITION AND MOTION DETECTION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp65-69, June 2019, Available at : http://www.jetir.org/papers/JETIR1907P08.pdf

Publication Details

Published Paper ID: JETIR1907P08
Registration ID: 224013
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 65-69
Country: katraj pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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