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Implementation of an Integrated System for Surveillance, Monitoring and Security in a Compartment using the Internet of Things.

Authors

Raceforth Atori

Science Laboratory Technology, Delta State University, Abraka, Delta State, Nigeria (NG)

Cletus Olisenekwu

Science Laboratory Technology, Delta State University, Abraka, Delta State, Nigeria (NG)

Atori Raceforth

Science Laboratory Technology, Delta State University, Abraka, Delta State, Nigeria (NG)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150500049

Subject Category: Science and Technology

Volume/Issue: 15/5 | Page No: 559-570

Publication Timeline

Submitted: 2026-05-28

Published: 2026-05-28

Abstract

Security can be defined as the degree of resistance to, and resilience against, various forms of harm. It influences all facets of human existence, with infrastructure serving as a critical domain requiring robust security measures. Broadly speaking, security denotes a state of being free from threats and dangers, encompassing the protection of individuals and organizations against criminal activities such as terrorism, kidnapping, theft, piracy, and espionage. In the context of public transportation, particularly within train compartments, security is paramount to ensuring the safety and well-being of both passengers and cargo. In contemporary society, the lack of sufficient security measures on trains presents a significant concern for commuters. Issues such as theft, harassment, kidnapping, violence, and espionage have become increasingly prevalent among train users. The inadequacies of security personnel, coupled with the ineffective implementation of safety protocols, have exacerbated these challenges. Historically, the security framework aboard trains has been limited to basic measures such as lockable doors and windows, emergency alarm systems, and routine patrols conducted by train staff. The imperative for enhanced security and safety across both public and private sectors cannot be overstated. The development of various technological devices designed for the purposes of security has contributed substantially to improved safety conditions. Notably, the concept of safety extends beyond the mere physical protection of an organization to encompass an integrated approach to security.

Keywords

Implementation, Integrated System, Surveillance, Compartment

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References

1. Myriam, D. C., Mareile, K., and Kristian, S. K. (2015), Resilience and (in) security: Practices, Subjects, and Temporalities: Research Gate. (Security Dialogue) 46: 120-125 [Google Scholar] [Crossref]

2. Adeleke, A. (2013), Insecurity: A threat to human Existence and Economic Development in Nigeria, Research Gate. 6: 8-13. [Google Scholar] [Crossref]

3. Sun, Y., Xiaogang, W, and Xiaoou T (2013). Hybrid Deep Learning for Face Verification: IEEE Transactions on Pattern Analysis and Machine Intelligence 38, (10) [Google Scholar] [Crossref]

4. Lyon, D. (2001). Surveillance Society: Monitoring in Everyday Life in Philadelphia: Open University Press. ISBN 978-0-335-20546-2 [Google Scholar] [Crossref]

5. Torin, M., David, M. and Wood (2018), Surveillance Studies: New York: Oxford University Press. ISBN 9780190297824 [Google Scholar] [Crossref]

6. Okpeki, U. K (2018), Design and Construction of A Smart Security System: Journal of Sustainable Technology, 9, (1): 25-36. [Google Scholar] [Crossref]

7. Ramya, G., Ramkumar, G., Anitha, G., Thandaiah. R., Nirmala.P. (2022): Strong and stable data communication using artificial intelligence method in mobile Ad-Hoc networks: International Conference on innovative computing, intelligent communication and smart electrical system (ICSES), Pp 1-25. [Google Scholar] [Crossref]

8. Rezwanul, M., and Mohammed, A. M. (2020), Current Research Trends on cognitive Radio-Based Internet of things toward cognitive internet of things Network: (2): 5-17. [Google Scholar] [Crossref]

9. Okpeki, U. K, and Oyubu, A.O. (2021): Design and implementation of an integrated pipeline security system with optimised scheduling: Journal of Informatics and Communication Technology, 10 (1): 25-36. [Google Scholar] [Crossref]

10. Ruby, D., Deepthi, U. S., Mohammed, M. A., Riya, M. A. and Abhishek, Y. (2018), IoT-Based Home Security System Using Raspberry Pi: International Journal of Innovative Research in Computer and Communication Engineering, 6,(4): 3835-3842. [Google Scholar] [Crossref]

11. Nisha, P.A., Mallik, S and Chaudhury, (2018). An Ontology-based Context-aware IoT Framework for Smart Surveillance: Symposium on Computer Animation 3rd International Conference on Smart City Application. (69): 1-7. [Google Scholar] [Crossref]

12. Milind, R., Rampure. K. P. Rathod. K. M., Kamble. P, V. (2022), IoT-Based Smart Surveillance and Automation: International Research Journal of Engineering and Technology 9,(4): 3253-3256. [Google Scholar] [Crossref]

13. Anitha, A. (2017). Home security system using internet of things: IOP Conference Series: Materials Science and Engineering, 263: 1-11. [Google Scholar] [Crossref]

14. McBride, G. and Sumbwanyambe, M. (2021), Design and Construction of a Hybrid Edge Cloud Smart Surveillance System with Object Detection: International Conference on Computing, Communication, and Intelligent Systems, Pp 642-647. [Google Scholar] [Crossref]

15. Skrbic, B. D., Radovanovic, S., Tomovic, L., Lazovic, Z.Z, and Radusinovic. I. (2018), A decentralised platform for heterogeneous IoT network: Scientific-Professional Information Technology Conference. [Google Scholar] [Crossref]

16. Chernyshev, M., Z., Baig, Bello, O. and Zeadally, S. (2018), Internet of Things Research, Simulators, and Test beds: Internet of Things. 5(3): 1637–1647. [Google Scholar] [Crossref]

17. Prathima, S.K., Sivachandar, N.G., Praveena, C., Nithiya,D., Kamalesh, C.L. (2023), Low-cost Prototype for IoT-based Smart Monitoring through Telegram: 5th International Conference on smart system and inventive Technology. [Google Scholar] [Crossref]

18. Nisha, P.A., Mallik, S and Chaudhury, (2018). An Ontology-based Context-aware IoT Framework for Smart Surveillance: Symposium on Computer Animation 3rd International Conference on Smart City Application. (69): 1-7. [Google Scholar] [Crossref]

19. Sanjay, A. M. V. and Jaglan, V. (2020), Security surveillance and home automation system using IOT: EAI Endorsed Transactions on Smart Cities, Pp 165-963. [Google Scholar] [Crossref]

20. Mrunal, Khadkar, Asutkar, Gajendra, Hariprakash. R (2021): Wireless intruder detection system for remote location: Turkish Journal of Computer and Mathematics Education. Gurgaon. vol. 12, iss12. Pp 1390-1401. [Google Scholar] [Crossref]

21. Kumar, A., Hashmi, H., Khan, S. A. and Naqvi, S. K. (2021), A Smart Framework for Live Video Streaming based Alerting System: 10th International Conference on System Modelling & Advancement in Research Trends, Pp 193-197. [Google Scholar] [Crossref]

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