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@article{177453,
        author = {S.Akhila and Dr.SK.Umar Faruq and P.Lavanya and S.Pavithra and S.Yashwanth},
        title = {Iot-Based Child rescue System From Borewell},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1530-1536},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177453},
        abstract = {Borewell accidents, particularly involving children falling into uncovered or abandoned narrow shafts, have emerged as a pressing concern in rural areas of many developing countries. These incidents often result in fatalities due to the lack of oxygen, limited space, darkness, and the difficulty of accessing the trapped victim. Traditional rescue efforts are time-consuming and frequently constrained by technical and logistical challenges. To address this critical issue, we present an IoT-based Child Rescue System from Borewell, a smart, real-time solution leveraging embedded systems, sensors, robotics, and cloud-based applications to assist in rapid and safe rescue operations.The proposed system integrates a robotic unit equipped with a grappling mechanism for securely lifting the child, ESP32 microcontroller for processing and communication, ESP32-CAM for live video streaming, and BMP180 sensor to continuously monitor environmental parameters such as temperature, pressure, and altitude inside the borewell. Real-time data including live video and environmental metrics are transmitted to rescuers via the Blynk IoT mobile application, enabling remote monitoring and control of all operations.},
        keywords = {Child rescue, Borewell accident, IoT, ESP32, ESP32-CAM, BMP180 sensor, Robotic grappler, Blynk app, Real-time monitoring, Oxygen supply, Live video streaming, Smart rescue system, Remote control.},
        month = {May},
        }