IoT-Based Borewell Rescue Mechanism with Real- Time Monitoring Using ESP32

ABSTRACTThis project addresses the recurring issue ofaccidental falls into uncovered borewells bydeveloping a smart rescue system based onthe ESP32 microcontroller. The system isequipped with wireless communication,robotic control, and real-time monitoringcapabilities to ensure safe and efficientvictim retrieval. It integrates essentialcomponents such as a live video camera,environmental sensors, and a robotic armmechanism. The ESP32’s computationalefficiency and connectivity features enablelow-latency control and feedback. Theproposed system enhances rescue operationreliability while minimizing humanintervention and risk. This solution presentsa cost-effective and scalable approach toimprove emergency response.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-10-09
DOI
https://doi.org/10.5281/zenodo.17303872
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
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article

IoT-Based Borewell Rescue Mechanism with Real- Time Monitoring Using ESP32

Zenodo (CERN European Organization for Nuclear Research)
Frailty in Older Adults
article

IoT-Based Borewell Rescue Mechanism with Real- Time Monitoring Using ESP32

article en

Abstract

ABSTRACTThis project addresses the recurring issue ofaccidental falls into uncovered borewells bydeveloping a smart rescue system based onthe ESP32 microcontroller. The system isequipped with wireless communication,robotic control, and real-time monitoringcapabilities to ensure safe and efficientvictim retrieval. It integrates essentialcomponents such as a live video camera,environmental sensors, and a robotic armmechanism. The ESP32’s computationalefficiency and connectivity features enablelow-latency control and feedback. Theproposed system enhances rescue operationreliability while minimizing humanintervention and risk. This solution presentsa cost-effective and scalable approach toimprove emergency response.

Zenodo (CERN European Organization for Nuclear Research)
Department of Information Technology, Biotechnology and Science and Technology (IN)
Openalex Percentile: Top 42%
Frailty in Older Adults
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