Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)

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Mass Security Surveillance Model Using Multiple CCTV

Authors
A. Mohan Vamsi1, *, V. D. Ambeth Kumar2, C. S. Manigandaa3, Challapalli Manikantaa3, P. Sindhu2, Mayanglambam Sushilata Devi2, V. D. Ashok Kumar4
1Dept. of Computer Science and Engineering, Panimalar Engineering College, Chennai, 600123, India
2Dept. of Computer Engineering, Mizoram University, Aizawl, 7960004, India
3Dept. of Artificial Intelligence and Data Science, Panimalar Engineering College, Chennai, 600123, India
4Dept. of Computer Science and Engineering, Loyola Institute of Technology, Chembarambakkam, 600123, India
*Corresponding author. Email: amvamsi1308@gmail.com
Corresponding Author
A. Mohan Vamsi
Available Online 4 October 2024.
DOI
10.2991/978-94-6463-529-4_10How to use a DOI?
Keywords
Multiple Camera; CCTV; Security; Social Network
Abstract

In the Modern world the most important thing existing is privacy and security. Due to lack of security, people face lot of problems. In an organization it is necessary to maintain complete security from external entities. By using face recognition, the people can be authenticated, categorized and further authenticated according to their identity. To identify and allow access to the people a software based on python is used to recognize and classify the entities into known and unknown and label them in the database. And to simplify the processing of visitors and to provide access, their face data is stored in the data base which provides entry only at the specific time. The same software is used to monitor the entire premises for unknown entities all the time using distributed systems and all the face data stored in the database. If any such entity is identified without authorization in the premises, then immediately it notifies the authority.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
Series
Advances in Engineering Research
Publication Date
4 October 2024
ISBN
978-94-6463-529-4
ISSN
2352-5401
DOI
10.2991/978-94-6463-529-4_10How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - A. Mohan Vamsi
AU  - V. D. Ambeth Kumar
AU  - C. S. Manigandaa
AU  - Challapalli Manikantaa
AU  - P. Sindhu
AU  - Mayanglambam Sushilata Devi
AU  - V. D. Ashok Kumar
PY  - 2024
DA  - 2024/10/04
TI  - Mass Security Surveillance Model Using Multiple CCTV
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 97
EP  - 107
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_10
DO  - 10.2991/978-94-6463-529-4_10
ID  - Vamsi2024
ER  -