Proceedings of International Conference on Applied Innovation in IT
2026/03/31, Volume 14, Issue 1, pp.661-667

Real-Time Smart Monitoring System Based-IoT Applications


Laith Farhan, Ali Abbood Khaleel, Waled Gheth, Waqas Saad, Wurood Kadhim Yas, Ahmed Hussein Dawwd and Sajjad Khalaf Hussein Ali


Abstract: In recent years, crime rates in the world are increasing at an alarming rate due to theft cases based on the police reports. Usually, thieves run away because of delay in action which increases the risk of being caught. Thus, this paper introduces smart IoT-based security system to detect and deter thieves. The system includes microwave motion sensors and other sensors, all connected to the microcontroller (e.g. ESP32). The microcontroller is responsible for processing and transmitting the data to the cloud infrastructure via Wi-Fi technology. The user then can remotely control and monitor the proposed system through a devoted mobile application. The proposed system is also provided with real-time alert notifications. When a sensor motion is triggered, then the control unit is active and sent an instant notification to the user on the smartphone. Furthermore, the device can also be programmed to activate a loud alarm, switch on lights thus effectively scaring away potential thieves. The proposed system allows for flexible customization, remote arming/disarming, and also integration with other smart home devices. This device is designed to be energy-efficient, plug and play, and low-cost, providing accessibility for diverse users looking for a modern and effective security solution. The comparative evaluation confirms the positive impact of the present work as compared to other related techniques existing in the previous works. We reveal that the proposed system achieves less energy consumption, latency, and cost. This successfully enhances the performance of the overall system and product success.

Keywords: Smart Device, IoT Technology, Security System, Microwave Sensor, Reduced Crime Rates.

DOI: Under indexing

Download: PDF

References:

  1. C. E. Chinaemerem and A. G. B. Akwuru, "An Intelligent Crime System Using Internet of Things (IoT) and Web Technological Tools for Instance Crime Reporting and Notification," IRE Journals, vol. 6, no. 9, pp. 165–174, Mar. 2023.
  2. R. Mishra and A. Mishra, “Current research on Internet of Things (IoT) security protocols: A survey,” Computers & Security, p. 104310.
  3. Q. A. Al-Haija and A. Droos, “A comprehensive survey on deep learning-based intrusion detection systems in Internet of Things (IoT),” Expert Systems, vol. 42, no. 2, p. e13726.
  4. A. Ashok and R. Subhashini, “IoT based system for real-time electricity theft detection,” in AIP Conference Proceedings, vol. 3257, no. 1, p. 020159, AIP Publishing LLC.
  5. G. Shanmugam and D. Balusamy, “Intelligent Anti-Theft System with Automated Spray Control using ESP32 WROOM,” in 2025 IEEE 14th International Conference on Communication Systems and Network Technologies (CSNT), pp. 409-413, IEEE.
  6. L. Farhan, “Towards green IoT: Key challenges and energy solutions,” LAP LAMBERT Academic Publishing.
  7. A. P. S. Anju, M. Subart, N. Y. Salim, and V. Paul, “IoT Based Home Security System,” International Journal of Advanced Research in Computer and Communication Engineering, [Online]. Available: https://doi.org/10.17148/IJARCCE.2019.8430.
  8. A. Fikri, “Simple IoT-Based Home Security System Using ESP32 and Blynk,” Data Science: Journal of Computing and Applied Informatics, vol. 9, no. 2, pp. 46-50.
  9. P. N. Saranu, G. Abirami, S. Sivakumar, K. M. Ramesh, U. Arul, and J. Seetha, “Theft Detection System using PIR Sensor,” in 2018 4th International Conference on Electrical Energy Systems (ICEES), Chennai, India, 2018, pp. 656-660, [Online]. Available: https://doi.org/10.1109/ICEES.2018.8443215.
  10. R. Bolimera, M. Rachana, S. Kaveri, K. R. Kiran, C. Venkanna, and G. V. Krishna, “IoT Based Fire and Motion Detection System,” in 2025 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2025, pp. 1-5, [Online]. Available: https://doi.org/10.1109/SCEECS64059.2025.10940974.
  11. Y.-H. Chang, F.-C. Wu, and H.-W. Lin, “Design and Implementation of ESP32-Based Edge Computing for Object Detection,” Sensors, vol. 25, no. 6, p. 1656, [Online]. Available: https://doi.org/10.3390/s25061656.
  12. G. Boubakr, F. Gu, L. Farhan, and A. Ball, “Enhancing virtual real-time monitoring of photovoltaic power systems based on the internet of things,” Electronics, vol. 11, no. 15, p. 2469.
  13. J. Baek, “ESP32 Light Sleep Mode and Wake-Up Sources (Arduino IDE),” Mar. 21, 2025, [Online]. Available: https://randomnerdtutorials.com/esp32-light-sleep-arduino, [Accessed: Sep. 9, 2025].
  14. L. Farhan, M. Abdulsattar, L. Alzubaidi, M. A. Fadhel, B. ÇalışUslu, and M. Al-Amidie, “Efficient Data Transmission and Remote Monitoring System for IoT Applications,” in Smart Healthcare System Design: Security and Privacy Aspects, pp. 235-263, 2022.
  15. A. Herrera-Angulo and E. Zenteno-Bolanos, “A Low-Cost Microwave System for Pedestrian Speed Estimation,” in 2018 IEEE MTT-S Latin America Microwave Conference (LAMC), Arequipa, Peru, 2018, pp. 1-3, [Online]. Available: https://doi.org/10.1109/LAMC.2018.8699061.
  16. “ HFS-DC06 Microwave Sensor Switch Module DC 5V,” Apr. 2, 2025, [Online]. Available: https://www.amazon.com/Microwave-Interference-Electronic-Component-Performance/dp/B0F3DLF5S1, [Accessed: Sep. 25, 2025].
  17. A. Marathe, J. Ughade, T. Jungade, K. Kalamkar, P. Katepallewar, and A. Kamble, “Enhancing Agriculture with Smart Sprinkler Systems,” in 2024 8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), Kirtipur, Nepal, 2024, pp. 269-272, [Online]. Available: https://doi.org/10.1109/I-SMAC61858.2024.10714876.
  18. “DC9 to 12V Wired Strobe Siren Red Light Sound Flash Buzzer Siren Home Security,” Feb. 4, 2018, [Online]. Available: https://www.amazon.com/Wired-Strobe-Siren-Light-Sound/dp/B079KZNFF2, [Accessed: Sep. 25, 2025].
  19. N. A. Jaafar, R. J. Mohammed, S. T. Ahmed, Q. K. Kadhim, and R. M. Abdulkader, “Artificial intelligence methods for identification of ADHD in children based on EEG signals,” vol. 12, no. 2, pp. 80-93, May 2025.

    HOME

       - Conference
       - Journal
       - Paper Submission to Conference
       - Paper Submission to Journal
       - Fee Payment
       - For Authors
       - For Reviewers
       - Important Dates
       - Conference Committee
       - Editorial Board
       - Reviewers
       - Last Proceeding


    PROCEEDINGS

       - Volume 14, Issue 1 (ICAIIT 2026)
       - Volume 13, Issue 5 (ICAIIT 2025)
       - Volume 13, Issue 4 (ICAIIT 2025)
       - Volume 13, Issue 3 (ICAIIT 2025)
       - Volume 13, Issue 2 (ICAIIT 2025)
       - Volume 13, Issue 1 (ICAIIT 2025)
       - Volume 12, Issue 2 (ICAIIT 2024)
       - Volume 12, Issue 1 (ICAIIT 2024)
       - Volume 11, Issue 2 (ICAIIT 2023)
       - Volume 11, Issue 1 (ICAIIT 2023)
       - Volume 10, Issue 1 (ICAIIT 2022)
       - Volume 9, Issue 1 (ICAIIT 2021)
       - Volume 8, Issue 1 (ICAIIT 2020)
       - Volume 7, Issue 1 (ICAIIT 2019)
       - Volume 7, Issue 2 (ICAIIT 2019)
       - Volume 6, Issue 1 (ICAIIT 2018)
       - Volume 5, Issue 1 (ICAIIT 2017)
       - Volume 4, Issue 1 (ICAIIT 2016)
       - Volume 3, Issue 1 (ICAIIT 2015)
       - Volume 2, Issue 1 (ICAIIT 2014)
       - Volume 1, Issue 1 (ICAIIT 2013)


    LAST CONFERENCE

       ICAIIT 2026
         - Photos
         - Reports

    PAST CONFERENCES

    ETHICS IN PUBLICATIONS

    ACCOMODATION

    CONTACT US

 

        

         Proceedings of the International Conference on Applied Innovations in IT by Anhalt University of Applied Sciences is licensed under CC BY-SA 4.0


                                                   This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License


           ISSN 2199-8876
           Publisher: Edition Hochschule Anhalt
           Location: Anhalt University of Applied Sciences
           Email: leiterin.hsb@hs-anhalt.de
           Phone: +49 (0) 3496 67 5611
           Address: Building 01 - Red Building, Top floor, Room 425, Bernburger Str. 55, D-06366 Köthen, Germany

        site traffic counter

Creative Commons License
Except where otherwise noted, all works and proceedings on this site is licensed under Creative Commons Attribution-ShareAlike 4.0 International License.