Paper Title
Comparative Analysis of Bore Well Rescue
Article Identifiers
Authors
DARSHAN S , HEMANTH G N , HRUDAY V B , CHARAN S , B.S SATHISH
Keywords
Ergonomic, Anchorage, Rack & Pinion Geared mechanism, Teleconferencing, Installation.
Abstract
At times there have been incidents, in India where children have fallen into open bore wells leading to complex and risky rescue operations. The conventional methods used for these rescues, which involve digging holes are both timeconsuming and often ineffective. This paper introduces a solution that presents a real-time child rescue system supported by AI technology and implemented in three stages. The first stage focuses on prevention by identifying risks before a child falls into a bore well. This is achieved through Raspberry Pi and VGGNET algorithms that analyze expressions to detect signs of danger. Additionally, sound stimuli are employed to keep children calm during situations while a web application built with React JS monitors the child's condition. The second stage detects when a child has fallen into the bore well. A live detection camera observes the child's depth and posture, providing information that aids in planning the rescue operation. Finally, the third stage concentrates on retrieving the child from the bore. A proposed robotic system equipped with arms and a teleconferencing system for communication is controlled by Arduino. This mechanical setup navigates through the bore well to attach a harness, to the child ensuring an efficient and timely rescue operation. This comprehensive approach seeks to address the shortcomings of methods providing a more effective and prompt resolution, for rescuing children trapped in bore wells.
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How To Cite (APA)
DARSHAN S, HEMANTH G N, HRUDAY V B, CHARAN S, & B.S SATHISH (July-2024). Comparative Analysis of Bore Well Rescue. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(7), g215-g220. https://ijnrd.org/papers/IJNRD2407524.pdf
Issue
Volume 9 Issue 7, July-2024
Pages : g215-g220
Other Publication Details
Paper Reg. ID: IJNRD_225359
Published Paper Id: IJNRD2407524
Downloads: 000121983
Research Area: Computer EngineeringÂ
Country: Bangalore, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2407524.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2407524
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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