Design and Construction of An Integrated Smart Surveillance Network Using Perimeter Intrution Dictation (PID) and AI Cameras

Authors

  • Amadi Christopher Chidi Michael Okpara University of Agriculture Umudike, Nigeria
  • Opara Felix Kelechi University of Technology Owerri, Nigeria
  • Nkwachukwu Chukwuchekwa University of Technology Owerri, Nigeria
  • Anyalewechi Chika University of Technology Owerri, Nigeria
  • Nnamdi Henry Ifeanyi Michael Okpara University of Agriculture Umudike, Nigeria

DOI:

https://doi.org/10.31004/green.v3i1.96

Keywords:

Smart Surveillance, Perimeter Intrusion Detection (PID), AI Cameras, Surveillance Network Design

Abstract

This paper discusses the design and construction of a smart surveillance network that integrates perimeter intrusion detection (PID) with AI cameras. The setup includes a motion detection system, an authentication platform, an alert system, and a web application control panel. At the heart of this design is a Raspberry Pi, programmed with Python, which works alongside a PIR sensor and a camera for detecting motion and capturing images. Additionally, there's an RFID reader/card for authentication, a USB modem for making phone calls, and connecting the device to the internet, allowing it to send images of any intruder directly to the owner's email. An alarm buzzer is also part of the system, and the web application control panel can be accessed via the Raspberry Pi’s Wi-Fi for easy management. The system was tested under various scenarios, including user authentication and intruder detection, and it performed as expected.

References

Anas, A., Bagiwa, M. A., Roko, A., Buda, S., Yaldu, Z. Y., Bello, A. M. & Ainu, H. A. (2022). An inter-frame forgery detection technique for surveillance videos based on analysis of similarities. SLU journal of science and technology, 4(1&2), 15-26

Aljanabi M., Ismail M.A., & Ali A.H.(2021). Intrusion Detection Systems, Issues, Challenges, and Needs. International Journal of Computational Intelligence Systems. 2021

Ismail, L.; & Materwala, H. (2019). A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions. Symmetry 2019, 11, 1198.

Mesnik, B. (2016). The History of Video Surveillance. Retrieved from https://kintronics.com/the-history-ofvideo-surveillance

Nalini M., Kiran G.V (2017). Automatic Surveillance System Using Raspberry Pi and Arduino, International Journal of Engineering Sciences & Research Technology, 6(5), 635-640.

Nasimuzzaman C., Shiblee, N., Sarker S., (2013), Access Control of Door and Home Security by Raspberry Pi through Internet. International Journal of Scientific and Engineering Research, 4(11), 550-558.

Nosiri O.C., Akwiwu-Uzoma C.C., Nmaju U.A., Elumeziem C.H. (2018). Motion Detector Security System

Niksefat S., Kaghazgaran P., & Sadeghiyan B.(2017). Privacy issues in intrusion detection systems: A taxonomy, survey and future directions. Computer Science Review. Aug;25:69–78.

Ovseník, L., Kolesárová A., Turán J. (2010). Video Surveillance Systems, Acta Electrotechnica et Informatica, 10 (4), 46–53.

Rashmi, M., Ashwin, T. S., & Guddeti, R. M. R. (2021). Surveillance video analysis for student action recognition and localization inside computer laboratories of a smart campus. Multimedia Tools and Applications, 80(2), 2907–2929.

Sheshai.S.S (2016), Raspberry PI Based Security System, University of Nairobi, Kenya.

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Published

2025-03-17

How to Cite

Chidi, A. C., Kelechi, O. F., Chukwuchekwa, N., Chika, A., & Ifeanyi, N. H. (2025). Design and Construction of An Integrated Smart Surveillance Network Using Perimeter Intrution Dictation (PID) and AI Cameras. Indo Green Journal , 3(1), 35 – 41. https://doi.org/10.31004/green.v3i1.96

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