Internet of Things (IoT) Powered Child Rescue System from Open Borewells by Using WiFi Integrated ESP32 Controller and Smart Sensors Association
Currently, the negligence of individuals in society is the reason why children are falling into the Bore well. The current systems available to protect the child are both less effective and more expensive. Consequently, the society requires a novel approach that is both more effective and efficient. In the majority of cases that have been reported thus far, a parallel opening is excavated, and subsequently a horizontal path is established to access the infant. Not only is it a time-consuming procedure, but it also carries a variety of risks. The Borewells rescue system is capable of performing a variety of actions to rescue the child by moving within the same Borewells where the child has been confined. The purpose of this paper is to rescue children who have fallen into a bore well. It appears that abandoned bore wells are mortality traps for minors. The primary water framework requirements of cultivators in India are met by groundwater, as the country is primarily known for agriculture. The very significant requirement of bore wells is typically tunneled for the groundwater exploration requirement due to the increasing population, diminishing land assets, and the advancement of urbanization. In turn, these borewell have begun to claim the lives of numerous innocent individuals. The Dynamic Child Rescue Model (DCRM) is a novel rescue system that has been developed in this research. It is designed to easily protect children from the borewell and is cross-validated with the conventional approach, the Pipeline Navigation Model (PNM), to assess the efficacy of the proposed scheme. The system is supported by the Internet of Things (IoT). This work suggests a novel design that incorporates a sensor located at the top of the borewell opening to detect the presence of a child if they fall inside.
Authors
- G. Divya
- Nandimandalam Venkata Vani
- Sarala Mary
- Mohammad Omar Sabri (ORCID: https://orcid.org/0000-0002-3034-4694)
- P. Vijayakumari
- Alok Narkhede
Institutions
- Albert Einstein College of Medicine (US)
- SRM Institute of Science and Technology (IN)
- Zarqa University (JO)
Publication Details
- Published
- 2024-12-12
- DOI
- https://doi.org/10.1109/icses63760.2024.10910545
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00