Fall Detection and Rescue System from Borewell

Volume: 10 | Issue: 01 | Year 2024 | Subscription
International Journal of Power Electronics Controllers and Converters
Received Date: 05/02/2024
Acceptance Date: 05/13/2024
Published On: 2024-06-10
First Page: 7
Last Page: 13

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By: Ashish Shantaram Bhagat, Ashitosh Dayanand Swami, Rohit Sachin Kekan, and S.A. Shirsat

1,2,3-Students ,Department of Electronics and Electrical Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India

4-Professor, Department of Electronics and Electrical Engineering, Sinhgad College of Engineering, Pune, Maharashtra, India

Abstract

The way the plates are arranged within the bore well prevents the youngster from entering very far, hence the offered remedy will ensure the child’s survival. Unintentionally falling into a borewell can be extremely hazardous, especially for children and animals, as it could endanger their lives. In order to solve this issue, the suggested system has developed a unique robot system that can swiftly identify and handle such situations. The conventional methods of extracting persons or animals from borewells are dangerous and take a long time. In India, recent incidents have seen children and animals getting stuck in open bore wells, leading to complex and risky rescue operations. The current methods take more than a day and involve complex processes, including digging a parallel hole.  This paper suggests using a remote-controlled Gripper to pick up and relocate trapped individuals without the need of digging a lot. This innovative approach aims to make rescues quicker and more efficient. While current rescue methods use advanced technologies like video surveillance. The Gripper system aims to overcome these issues, providing a faster response and reducing the dangers associated with lengthy rescue operations.  

KeywordsRaspberry Pi, Open-cv, Robotic Arm, Image Processing, Internet of Things (IoT).

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Citation:

How to cite this article: Ashish Shantaram Bhagat, Ashitosh Dayanand Swami, Rohit Sachin Kekan, and S.A. Shirsat, Fall Detection and Rescue System from Borewell. International Journal of Power Electronics Controllers and Converters. 2024; 10(01): 7-13p.

How to cite this URL: Ashish Shantaram Bhagat, Ashitosh Dayanand Swami, Rohit Sachin Kekan, and S.A. Shirsat, Fall Detection and Rescue System from Borewell. International Journal of Power Electronics Controllers and Converters. 2024; 10(01): 7-13p. Available from:https://journalspub.com/publication/fall-detection-and-rescue-system-from-borewell/

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