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Accuracy Performance Analysis of Safety Sensors Based NETPIE-Intruder Detection System on Internet of Things Platform

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Abstract

The Internet of Things (IoT) has become an addition of humans. IoT assists in the security work to increase the quality of people life. This paper presents an intruder alert system using IoT-sensing through cloud service network. The proposed intruder alert system is divided into 4 sections, which are (1) intruder monitoring section, (2) communication network, (3) data processing unit and (4) user interface. Each composition works according to its function effectively. The intruder monitoring device was contained Ultrasonic and Passive Infrared (PIR) Sensors to analyze its performance. NETPIE work as graphic user interface (GUI) on cloud server was serviced to act as an intermediary to distribute information to other devices through internet network. Both sensors were evaluated the detection sensing test according to various distances. The obtained results based on individual test were analyzed in terms of percentage form, which showed that the Ultrasonic and PIR sensors show its different responses. The Ultrasonic stables in the distance test of 5–55 cm and after 55 cm distance it reacts unstable for detection. While, the PIR sensor swings in the distance of 5–30 cm and more stable after distance of 35 to 100 cm. Accordance the graph visually, it was found that the both sensors work in the opposite way. Therefore, the results of the experiment were again analyzed by statistical program. The finding presented that the Ultrasonic and PIR sensors accurately detected intruder at 99.94% and 99.56% respectively, with at statistically significant level of 95%.

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Acknowledgements

The authors are grateful to Rajamangala University of Technology Srivijaya Songkhla, Thailand for the research grant for sponsoring the development of the in-house built-in devices in the fiscal year 2019 (Grant No. 669).

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Authors and Affiliations

  1. Department of Electronic and Telecommunication Engineering, Faculty of Industrial Education and Technology, Rajamangala University of Technology Srivijaya, Songkhla, 90000, Thailand

    Wasana Boonsong

  2. Department of Electronic and Electrical Engineering, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

    Oluseye Adeleke

  3. Auto-ID Laboratory, School of Electrical and Electronic Engineering, Universiti Sains Malaysia, Engineering Campus, Nibong Tebal, Penang, Malaysia

    Widad Ismail

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  1. Wasana Boonsong
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  2. Oluseye Adeleke
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  3. Widad Ismail
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Correspondence to Wasana Boonsong.

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Boonsong, W., Adeleke, O. & Ismail, W. Accuracy Performance Analysis of Safety Sensors Based NETPIE-Intruder Detection System on Internet of Things Platform. Wireless Pers Commun 119, 2109–2122 (2021). https://doi.org/10.1007/s11277-021-08321-6

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  • DOI: https://doi.org/10.1007/s11277-021-08321-6

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