Borewell accidents have emerged as a serious safety concern in India, particularly in rural regions where many borewells are left uncovered or abandoned. Children are the most affected victims due to accidental falls into these narrow and deep structures. Rescue operations in borewells are extremely challenging because of limited space, poor visibility, and increasing depth. The lack of sufficient oxygen and the possible presence of harmful gases further increase the risk to the trapped individual. Conventional rescue techniques are often slow, unsafe, and highly dependent on manual labour. To overcome these limitations, this work presents an IoT-enabled robotic borewell rescue system designed to enhance rescue efficiency and safety. The proposed system uses an ESP8266 microcontroller for real-time data collection and communication. Environmental parameters such as temperature, humidity, and oxygen concentration are continuously monitored using appropriate sensors, while an MQ2 sensor is employed to detect hazardous gases. An ESP32-CAM module provides live video streaming from inside the borewell, allowing rescue teams to assess the victim’s position and condition accurately. An IPID web interface displays real time sensor data and display the live video streaming facilitating informed decision-making. A motor- driven robotic arm mechanism is integrated to safely grip and lift the trapped individual. By combining real-time sensor monitoring, live visual feedback, and remote-controlled actuation, the proposed system reduces rescue time, minimizes risk to rescue personnel, and improves the success rate of borewell rescue operations.

In conclusion, the IoT-based borewell rescue system using ESP32 and ESP8266 provides an efficient, automated solution for addressing borewell accidents. The system leverages sensor technologies to monitor oxygen, temperature, and humidity in real time, while the ESP32 camera delivers live video streaming for situational awareness. By integrating motorized robotic arms, the system enables safe and precise rescue operations without requiring human entry into the borewell. The use of affordable components such as ESP32, ESP8266, MQ2, and DHT11 makes the solution cost-effective and practical for deployment in rural areas where borewell accidents are most common. Real-time monitoring, remote control, and centralized dashboards enhance operational efficiency, ensuring rescuers can act quickly and effectively. This project not only automates the rescue process but also offers scalability, safety assurance, and adaptability for future enhancements. Ultimately, the system reduces manual effort, minimizes risks to rescuers, and increases the chances of survival for trapped individuals. By combining IoT, robotics, and sensor technologies, the borewell rescue system exemplifies how modern innovations can be harnessed to solve life-critical challenges, contributing to safer communities and more effective disaster management.

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