Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides
Abstract & Details
Research Area
Electrical and Electronics Engineering
Keywords
IoT
ESP32
Ultrasonic sensor
Gyro sensor
GPS
Sound sensor
Gas sensor
DC Motor
life detection
landslide rescue
human presence detection
vital sign monitoring
embedded systems
disaster management
wireless sensor networks
real-time monitoring.
Abstract
Landslides pose a significant threat to human life, especially in mountainous and rain-prone regions. Timely detection and rescue of buried victims remain a critical challenge due to the lack of effective real-time monitoring systems. This project presents the design and implementation of an IoT-based Life Detector System aimed at enhancing the accuracy and efficiency of human presence detection beneath soil during landslide disasters. The system integrates advanced sensors such as heartbeat and respiration sensors, seismic vibration detectors, and thermal infrared modules to identify biological signals indicative of human life. These sensory data are processed using a microcontroller unit and transmitted via IoT protocols to a cloud-based platform for real-time monitoring and alert generation. The system is designed for deployment in post-landslide zones to assist rescue operations by accurately pinpointing the location of trapped individuals. Preliminary tests in controlled environments demonstrate the system's potential for high sensitivity and low false positives. This research aims to contribute a scalable, cost-effective, and reliable solution to augment disaster response efforts and reduce casualties in landslide-prone regions.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | DEEKSHITHA C | Er. Perumal Manimekalai College of Engineering |
| 2 | CHITHRA M | Er. Perumal Manimekalai College of Engineering |
| 3 | Dr. A. GNANA SARAVANAN, M.E, PhD., | Er. Perumal Manimekalai College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
C, DEEKSHITHA, M, CHITHRA, & PhD.,, Dr. A. GNANA SARAVANAN, M.E, (2025). Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 764-770.
MLA Style
C, DEEKSHITHA, et al. "Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 764-770.
IEEE Style
DEEKSHITHA C, CHITHRA M, and Dr. A. GNANA SARAVANAN, M.E, PhD.,, "Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 764-770, 2025.
Vancouver Style
C DEEKSHITHA, M CHITHRA, PhD., Dr. A. GNANA SARAVANAN, M.E,. Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):764-770.
Harvard Style
C, DEEKSHITHA, M, CHITHRA, & PhD.,, Dr. A. GNANA SARAVANAN, M.E, (2025) 'Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 764-770.
Chicago Style
C, DEEKSHITHA, CHITHRA M, and Dr. A. GNANA SARAVANAN, M.E, PhD.,. "Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 764-770.
Turabian Style
C, DEEKSHITHA, CHITHRA M, and Dr. A. GNANA SARAVANAN, M.E, PhD.,. "Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 764-770.
Related Research
ROBUST BALANCE CONTROL OF TWO-WHEELED BICYCLES A COMPARATIVE STUDY OF H∞ LOOP SHAPING AND PID APPROACHES
PDF Unavailable
USING NEURAL NETWORKS TO PREDICT THREE-PHASE TRANSFORMER FAILURES BASED ON ELECTRICAL SIGNALS AND MECHANICAL VIBRATIONS
PDF Unavailable
APPLICATION OF VARIATIONAL QUANTUM CLASSIFIER IN FAULT CLASSIFICATION ON THREE-PHASE POWER TRANSMISSION LINE
PDF Unavailable
Review of Recent Advances in Solar Energy Technology
PDF Unavailable
Analytical Sizing and Layout of a High-Gain CMOS Comparator for Mixed-Signal Applications
PDF Unavailable
Daul power generation by using solar and windmill generator
PDF Unavailable