A Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation

A Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation

Authors

  • Mohd Nizam Osman Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Muhammad Haika Faeq Ismail Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Khairul Anwar Sedek Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Nor Arzami Othman Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Perlis Branch
  • Mushahadah Maghribi Department of Information Technology, Politeknik Tuanku Syed Sirajuddin

DOI:

https://doi.org/10.24191/jcrinn.v7i2.325

Keywords:

Telegram Bot, Raspberry Pi, IoT, Internet of Things, Home Security, Home Automation

Abstract

Home security is a critical issue, especially for the civilians to protect their property from harm. Currently, the increase in home breaking usually occurs during school holidays and public holiday seasons. Therefore, to overcome the problem and the main objective is to design and develop a low-cost home security notification system using PIR sensor to detect movement of intruders, Raspberry Pi Camera, GPS module integrated with Raspberry Pi Zero WH to send an alert notification message with image, date, location, and time via Telegram Bot to the house owner’s and people nearby through a smart phone. The system utilizes the System Development Life Cycle (SDLC) by implementing the waterfall model as the methodology. Three experiments were conducted to examine the effectiveness of the system which is sensor detection range, response time and user acceptance test (UAT). The finding indicates that the home security notification system was efficient, effective, low-cost, and easy to use. Besides, the system can detect the presence of the intruder and send the notification message in a reasonable time. Meanwhile, the result from the UAT indicates that the proposed system has a positive impact and to be well accepted by the majority of the users. Hence, the system can help the house owners to take immediate action such as calling the neighbourhood association or police department authority when the system detects an intruder in the house. 

Downloads

Download data is not yet available.

References

Abd Kadir, M. M., Osman, M. N., Othman, N. A., & Sedek, K. A. (2020). IoT Based Car Parking Management System Using IR Sensor. Journal of Computing Research and Innovation (JCRINN), 5(2), 75–84.

Bassil, Y. (2012). A Simulation Model for the Waterfall Software Development Life Cycle. International Journal of Engineering and Technology, 2(5), 1–3.

Bhavya, J., Sakshi, S., Varun, K., & Debarshi, G. (2016). Home Monitoring and Security System. 2016 International Conference on ICT in Business Industry & Government (ICTBIG), 1–5.

Department of Statistics Malaysia Official Portal. (2021, November 25). https://www.dosm.gov.my/v1/index.php?r=column/cthemeByCat&cat=455&bul_id=eHE0eGZWSmNROG1BbHR2TzFvZzZxQT09&menu_id=U3VPMldoYUxzVzFaYmNkWXZteGduZz09

Filho, I. de M. B., Aquino, G., Malaquias, R. S., Girão, G., & Melo, S. R. M. (2021). An IoT-Based Healthcare Platform for Patients in ICU Beds During the COVID-19 Outbreak. IEEE Access, 9, 27262–27277.

Kazim, A. (2017). A Study of Software Development Life Cycle Process Models. 8(1), 15–23.

Khan, S. R., Mansur, A. A., Kabir, A., Jaman, S., & Chowdhury, N. (2012). Design and Implementation of Low Cost Home Security System using GSM Network. 3(3), 6.

Kumar, G. D. (2017). Realization of a Low Cost Smart Home System using Telegram Messenger and Voice. Int. J. Pure Appl. Math, 116(5), 85–90.

Made, N., Piarsa, N., & Sasmita, A. (2018). Telegram Bot Integration with Face Recognition as Smart Home Features. International Journal of Computer Applications, 182, 42–47.

Morsalin, S., Islam, A. M. J., Rahat, G. R., Pidim, S. R. H., Rahman, A., & Siddiqe, M. A. B. (2016). Machine-to-Machine Communication Based Smart Home Security System by NFC, Fingerprint, and PIR Sensor with Mobile Android Application. 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), 1–6.

Parab, A. S., & Joglekar, A. (2015). Implementation of Home Security System using GSM Module and Microcontroller. 6, 4.

Phasinam, K., Kassanuk, T., Shinde, P. P., Thakar, C. M., Sharma, D. K., Mohiddin, M. K., & Rahmani, A. W. (2022). Application of IoT and Cloud Computing in Automation of Agriculture Irrigation. Journal of Food Quality, 2022, e8285969.

Tanwar, S., Patel, P., Patel, K., Tyagi, S., Kumar, N., & Obaidat, M. S. (2017). An Advanced Internet of Thing Based Security Alert System for Smart Home. 2017 International Conference on Computer, Information and Telecommunication Systems (CITS), 25–29.

Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315.

Vigneswari, P., Indhu, V., Narmatha, R. R., Sathinisha, A., & Subashini, J. M. (2015). Automated Security System using Surveillance. International Journal of Current Engineering and Technology, 5(2), 882–884.

Zhao, Y., & Ye, Z. (2008). A Low Cost GSM/GPRS Based Wireless Home Security System. IEEE Transactions on Consumer Electronics, 54(2), 567–572.

Downloads

Published

2022-09-01

How to Cite

Osman, M. N., Ismail, M. H. F., Sedek, K. A., Othman, N. A., & Maghribi, M. (2022). A Low-Cost Home Security Notification System Using IoT and Telegram Bot: A Design and Implementation. Journal of Computing Research and Innovation, 7(2), 327–337. https://doi.org/10.24191/jcrinn.v7i2.325

Issue

Section

General Computing

Most read articles by the same author(s)

1 2 > >> 
Loading...