IOT-Based Crack Detection in Civil Engineering Structures

Authors

  • Annmary Benny Federal Institute of Science and Technology
  • Honey Devassy Federal Institute of Science and Technology, Angamaly, India
  • George Thomas Federal Institute of Science and Technology, Angamaly, India
  • Abhinav Sabu Federal Institute of Science and Technology, Angamaly, India
  • Roel Renju Federal Institute of Science and Technology, Angamaly, India

DOI:

https://doi.org/10.61779/jasetm.v3i1.5

Keywords:

Crack Detection, Anomaly Detection, Blynk, Real-time Monitoring, ADXL335, IoT (Internet of Things)

Abstract

Structural health monitoring is essential for ensuring the safety and durability of infrastructure such as bridges and buildings. Traditional crack detection methods rely on manual inspections, which are time-consuming, labour-intensive, and prone to human error, often delaying the identification of potential structural failures. This paper presents an IoT-based crack detection system using an ESP8266 microcontroller and an ADXL335 accelerometer, programmed via the Arduino IDE and integrated with the Blynk platform for real-time monitoring. The ADXL335 measures acceleration along three axes to capture subtle vibrations, which are processed by the ESP8266 and transmitted wirelessly to Blynk, where the data is displayed as a live graph. Frequency analysis is used to detect abnormal vibration spikes that may indicate cracks. When vibrations exceed a threshold, alerts are sent to engineers via the Blynk dashboard. This low-cost, wireless system provides a reliable, scalable alternative to manual inspection, enabling early detection and timely maintenance interventions.

References

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Published

11-07-2025

How to Cite

Annmary Benny, Honey Devassy, George Thomas, Abhinav Sabu, & Roel Renju. (2025). IOT-Based Crack Detection in Civil Engineering Structures . Journal of Applied Science, Engineering, Technology and Management, 3(1), 23–26. https://doi.org/10.61779/jasetm.v3i1.5

Issue

Vol. 3 No. 1 (2025): Journal of Applied Science, Engineering, Technology and Management

Section

Articles

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Copyright (c) 2025 Annmary Benny , Honey Devassy, George Thomas, Abhinav Sabu, Roel Renju

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