Earthquake Detection and Monitoring System

Notice

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 : 2026 | Volume : 16 | 02 | Page :
    By

    Shevale Sakshi,

  • More Namrata,

  • Gadhave Madhavi,

  • M. V. Naiknavare,

  1. UG Students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  2. UG Students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  3. UG Students, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India
  4. Assistant Professor, Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Pandharpur, Maharashtra, India

Abstract

Earthquakes continue to be one of the major natural hazards affecting human life and infrastructure. The development of affordable monitoring systems is essential for increasing preparedness and reducing the impact of such disasters. This work presents an Earthquake Detection and Monitoring System based on a vibration sensor and Arduino controller. The system continuously observes ground movements and evaluates the detected vibration levels against a predefined threshold. Whenever unusual vibrations are identified, an alert is generated through a buzzer and a warning message is displayed on an LCD module. The proposed design focuses on simplicity, low implementation cost, and ease of deployment. To evaluate the system’s behavior, experimental testing was conducted under various vibration situations. The observations indicate that the prototype is capable of identifying significant vibration events and generating timely alerts. The system can be further extended by incorporating wireless communication technologies for remote monitoring and notification. Although the proposed setup is not intended to replace professional seismic monitoring stations, it provides a practical and educational platform for understanding earthquake detection techniques. The design may be useful for academic laboratories, residential environments, and small-scale monitoring applications where low-cost solutions are required. Future enhancements can improve detection accuracy, communication capability, and overall system reliability.

Keywords: Arduino, Earthquake Detection, Vibration Sensor, Seismic Monitoring, Early Warning

How to cite this article:
Shevale Sakshi, More Namrata, Gadhave Madhavi, M. V. Naiknavare. Earthquake Detection and Monitoring System. Journal of Instrumentation Technology & Innovations. 2026; 16(02):-.
How to cite this URL:
Shevale Sakshi, More Namrata, Gadhave Madhavi, M. V. Naiknavare. Earthquake Detection and Monitoring System. Journal of Instrumentation Technology & Innovations. 2026; 16(02):-. Available from: https://journals.stmjournals.com/joiti/article=2026/view=248067


References

  1. Ashwin P. Arduino made simple. BPB Publications; 2019 Sep 20.
  2. Gurusamy S, Mengistie M, Kangi AS, Mohideen KA, Perumal DG. Embedded Remote Condition Monitoring System for Industrial Machinery. InRecent Advances in Materials and Modern Manufacturing: Select Proceedings of ICAMMM 2021 2022 May 27 (pp. 577-589). Singapore: Springer Nature Singapore.
  3. Koushik V, Sasipreetham NV, Nithya M. Early detection and warning system for earthquakes using internet of things. In2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL) 2024 Mar 13 (pp. 529-533). IEEE.
  4. Abdalzaher MS, Krichen M, Yiltas-Kaplan D, Ben Dhaou I, Adoni WY. Early detection of earthquakes using iot and cloud infrastructure: A survey. Sustainability. 2023 Jul 28;15(15):11713.
  5. Karacı A. IoT-based earthquake warning system development and evaluation. Mugla Journal of Science and Technology. 2018 Dec 12;4(2):156-61.
  6. Buonocore D, Abrishambaf R, da Rocha H, Paciello V, Espirito-Santo A. Earthquake detection system using iec 61499 & ieee 1451 standards. In2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) 2024 May 20 (pp. 1-6). IEEE.
  7. Boccadoro P, Montaruli B, Grieco LA. Quakesense, a LoRa-compliant earthquake monitoring open system. In2019 IEEE/ACM 23rd International Symposium on Distributed Simulation and Real Time Applications (DS- RT) 2019 Oct 7 (pp. 1-8). IEEE.
  8. Singh R, Sharma R, Kumar K, Singh M, Vajpayee P. Securing lives and assets: IoT-Based earthquake and fire detection for Real-Time monitoring and safety. InInternational Advanced Computing Conference 2023 Dec 15 (pp. 15-25). Cham: Springer Nature Switzerland.
  9. Maduranga MW, Abeysekera R. Machine learning applications in IoT based agriculture and smart farming: A review. Int. J. Eng. Appl. Sci. Technol. 2020 May 10;4(12):24-7
  10. Mane PB, Mulani AO. High speed area efficient FPGA implementation of AES algorithm. International Journal of Reconfigurable and Embedded Systems. 2018 Nov;7(3):157-65.
  11. Kashid MM, Karande KJ, Mulani AO. IoT-based environmental parameter monitoring using machine learning approach. InProceedings of the International Conference on Cognitive and Intelligent Computing: ICCIC 2021, Volume 1 2022 Nov 1 (pp. 43-51). Singapore: Springer Nature Singapore.
  12. Ghodake MR, Mulani MA. Sensor based automatic drip irrigation system. Journal for Research. 2016 Apr;2(02).
  13. Mane DP, Mulani AO. High throughput and area efficient FPGA implementation of AES algorithm. International Journal of Engineering and Advanced Technology. 2019 Apr;8(4):519-23.

Ahead of Print Subscription Review Article
Volume 16
02
Received 24/06/2026
Accepted 29/06/2026
Published 30/06/2026
Publication Time 6 Days


Login


My IP

PlumX Metrics