Design And Implementation of An IoT-Based Life Detector System For Accurate Human Presence Detection Under Soil During Landslides

May 2025
Vol-11, Issue-3
Paper ID: 26536
ISSN: 2395-4396
Downloads: 0

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.

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.

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