Dissertation/Thesis Abstract

Security system with motion detection and face recognition
by Patel, Ravi L., M.S., California State University, Long Beach, 2017, 40; 10251645
Abstract (Summary)

Security is an essential criterion in all industries. This project develops a Security System that includes motion detection and face recognition. Motion detection is achieved by using the PIR (Passive Infrared) sensor, and face recognition is achieved by using the SIFT (Scale Invariant Feature Transform) algorithm.

The primary hardware components used in this system are a PIR sensor, microcontroller, relay, LCD (Liquid Crystal Display), buzzer, MAX232 IC, and GSM (Global System for Mobile Communication). The system incorporates the feature extraction method, which is utilized to identify the number of objects in an image, and the proposed SIFT algorithm is used for the face recognition. These two methods, the feature extraction method and SIFT algorithm, are implemented in MATLAB. The result shows that the efficiency and the recognition time of the proposed SIFT algorithm is better than its predecessors. This system can be used for industrial, hospital, or even residential purposes.

Indexing (document details)
Advisor: Druzgalski, Christopher
Commitee: Druzgalski, Christopher, Hamano, Fumio, Tran, Boi
School: California State University, Long Beach
Department: Electrical Engineering
School Location: United States -- California
Source: MAI 56/03M(E), Masters Abstracts International
Subjects: Electrical engineering
Keywords: Comparison of different face recognition techniques, Face recognition, Motion detection using passive infrared sensor, Scale invariant feature transform algorithm, Security system, Serial communication
Publication Number: 10251645
ISBN: 978-1-369-45427-7
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