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Intruder Detection and Recognition System
by
Divya Gurnani,
Vijay Gaikwad,
Pradip V Gurnani
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 178 - Number 20 |
| Year of Publication: 2019 |
| Authors: Divya Gurnani, Vijay Gaikwad, Pradip V Gurnani |
10.5120/ijca2019919030
|
Divya Gurnani, Vijay Gaikwad, Pradip V Gurnani . Intruder Detection and Recognition System. International Journal of Computer Applications. 178, 20 ( Jun 2019), 30-34. DOI=10.5120/ijca2019919030
@article{
10.5120/ijca2019919030,
author = {
Divya Gurnani,
Vijay Gaikwad,
Pradip V Gurnani
},
title = { Intruder Detection and Recognition System },
journal = {
International Journal of Computer Applications
},
issue_date = { Jun 2019 },
volume = { 178 },
number = { 20 },
month = { Jun },
year = { 2019 },
issn = { 0975-8887 },
pages = {
30-34
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume178/number20/30652-2019919030/
},
doi = { 10.5120/ijca2019919030 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:50:58.560723+05:30
%A Divya Gurnani
%A Vijay Gaikwad
%A Pradip V Gurnani
%T Intruder Detection and Recognition System
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 20
%P 30-34
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Earlier intrusion detection systems included manpower, but in this paper an automatic system has been proposed which detects the intruder and recognizes it also. An ultrasonic sensor has been interfaced with an Arduino which detects an intrusion. For intruder recognition, object detection classification has been performed. This method includes both computer vision and machine learning for testing and training of data. Hence this proposed method uses technology which is new and growing.
References
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Index Terms
Computer Science
Information Sciences
Keywords