Paper Contents
Abstract
Borewell accidents, where children fall into open or abandoned borewells, pose significant rescue challenges. Traditional rescue methods, such as manual digging, are time-consuming, labor-intensive, and often inefficient, leading to delayed and sometimes unsuccessful rescue operations. The risk of injury or fatality increases with prolonged entrapment due to factors like restricted oxygen levels, exposure to harmful gases, and unstable borewell walls. This project introduces a smart borewell rescue system incorporating real-time video streaming, environmental monitoring, and robotic gripping mechanisms to enhance rescue efficiency and ensure safety.The system employs an ESP32 camera to provide live video streaming, allowing rescuers to assess the trapped child's condition remotely. Various sensors, including a PIR motion sensor, gas sensor (MQ Series), and DHT11 sensor, continuously monitor movement, hazardous gas levels, temperature, and humidity inside the borewell. A robotic gripper controlled by a DC motor and pulley mechanism is used to secure and lift the child safely. The entire system is remotely operated via switches, reducing human intervention and minimizing associated risks. Additionally, ThingSpeak cloud integration enables real-time data transmission, allowing authorities to monitor rescue parameters and make informed decisions.This innovative approach ensures faster, safer, and more precise borewell rescues compared to traditional methods. The automation reduces response time, while IoT-based monitoring enhances situational awareness. The proposed system's adaptability makes it suitable for various confined-space rescues, disaster response operations, and hazardous environment monitoring. Future enhancements may include AI-driven gripping optimization, thermal imaging for low-light conditions, and extended battery backup for prolonged rescue efforts.This project highlights the transformative potential of IoT and robotics in life-saving operations, making borewell rescues more efficient, reliable, and scalable.Keywords: Borewell Rescue, IoT, ESP32, Robotic Gripper, ThingSpeak, Environmental Monitoring
Copyright
Copyright © 2025 KAGITHA NAGA JYOTHSNA. This is an open access article distributed under the Creative Commons Attribution License.
