Enhancing Campus Security Using IOT Sensors

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 15 | Issue : 02 | Page : –
    By

    Suhani Subhash Maske,

  • Prafull Vikas Bhadale,

  • Manasi Tukaram Chavan,

  • Payal Rohidas Jadhav,

  1. Student, Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune, Maharashtra, India
  2. Student, Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune, Maharashtra, India
  3. Student, Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune, Maharashtra, India
  4. Student, Computer Engineering Department at Rajgad Dnyanpeeth Technical Campus Polytechnic, Dhangawadi, Pune, Maharashtra, India

Abstract

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Security within university campuses continues to be of paramount importance to learning institutions, with conventional CCTV systems tending to be slow and prone to operator errors. The project discusses an IoT system with Flutter, ESP32-CAM, flame and noise sensors, and buzzer for an efficient real-time surveillance and timely emergency response. The system can detect abnormal conditions like loud noises and fire risks, sending alarms and enabling live video streaming over Wi-Fi. The sensor readings and video streams are sent to a Flutter mobile app based on Firebase Realtime Database or MQTT. Security guards can see real-time events, thus minimizing response time and enhancing security. The mobile app provides an easy-to-use platform for viewing alarms, accessing live camera streams, and receiving emergency alerts using Firebase Cloud Messaging (FCM). Low latency and high precision were designed into the system to provide instant and faultless communication between IoT devices and the mobile app. Scalability was also a top priority, with provision for adding more security features and sensors as required. Future add-ons include AI-driven anomaly detection, motion sensors, analytics in the cloud, and blockchain-based security for tamper-free data storage. By combining IoT and mobile technologies, the project greatly enhances campus security through automated threat detection and response. The system reduces human reliance, improves situational awareness, and is a cost-saving solution for educational institutions.

Keywords: IoT-based security system, Campus security, Wi-Fi-based surveillance, Integration of Flutter and IoT for smart surveillance, Flutter mobile application

[This article belongs to Journal of Instrumentation Technology & Innovations ]

How to cite this article:
Suhani Subhash Maske, Prafull Vikas Bhadale, Manasi Tukaram Chavan, Payal Rohidas Jadhav. Enhancing Campus Security Using IOT Sensors. Journal of Instrumentation Technology & Innovations. 2025; 15(02):-.
How to cite this URL:
Suhani Subhash Maske, Prafull Vikas Bhadale, Manasi Tukaram Chavan, Payal Rohidas Jadhav. Enhancing Campus Security Using IOT Sensors. Journal of Instrumentation Technology & Innovations. 2025; 15(02):-. Available from: https://journals.stmjournals.com/joiti/article=2025/view=0

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References

  1. Hussien SH, Farhana HA, Vinukumar L, Alexander CH, Sivakumar S. Smart campus attendance
    and security systems: Leveraging IoT for enhanced efficiency. InAIP Conference Proceedings 2024
    Aug 30 (Vol. 3161, No. 1). AIP Publishing.
  2. Wang L, Li K, Chen X. Internet of things security analysis of smart campus. InInternational
    Conference on Cloud Computing and Security 2018 Jun 8 (pp. 418–428). Cham: Springer
    International Publishing.
  3. Abdullah A, Thanoon M, Alsulami A. Toward a smart campus using IoT: Framework for safety
    and security system on a university campus. Advances in Science, Technology and Engineering
    Systems. 2019 Sep;4(5):97–103.
  4. Bera B, Saha S, Das AK, Vasilakos AV. Designing blockchain-based access control protocol in
    IoT-enabled smart-grid system. IEEE Internet of Things Journal. 2020 Oct 13;8(7):5744–61.
  5. Al-Nofli NM, Al-Maimani AD, Hajamohideen F. Face minder secure campus: revolutionizing
    campus security with AI surveillance. In8th IET Smart Cities Symposium (SCS 2024) 2024 Dec 1
    (Vol. 2024, pp. 87–91). IET.
  6. Khalaf OI, Abdulsahib GM, Zghair NA. IOT fire detection system using sensor with Arduino. Aus.
    2019 Sep;26:74–8.
  7. Sayed AN, Bensaali F, Himeur Y, Houchati M. Edge-based real-time occupancy detection system
    through a non-intrusive sensing system. Energies. 2023 Mar 2;16(5):2388.
  8. Tamanampudi VM. AI-enhanced peer to peer payment security. International Journal of Science
    and Research Archive. 2023;10(1):1076–83.
  9. Ahamad SS. A novel NFC-based secure protocol for merchant transactions. IEEE Access. 2021
    Dec 28;10:1905–20.
  10. Gaur A, Singh A, Verma A, Kumar A. Artificial intelligence and multi-sensor fusion based
    universal fire detection system for smart buildings using IoT techniques. IETE Journal of Research.
    2023 Dec 29;69(12):9204–16.
  11. Titu MF, Pavel MA, Michael GK, Babar H, Aman U, Khan R. Real-Time Fire Detection:
    Integrating Lightweight Deep Learning Models on Drones with Edge Computing. Drones. 2024
    Sep 13;8(9):483.

Regular Issue Subscription Review Article
Volume 15
Issue 02
Received 05/04/2025
Accepted 27/04/2025
Published 10/05/2025
Publication Time 35 Days

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