Abstract:
This project addresses the recurring issue of accidental falls into uncovered borewells by developing a smart rescue system based on the ESP32 microcontroller. The system is equipped with wireless communication, robotic control, and real-time monitoring capabilities to ensure safe and efficient victim retrieval. It integrates essential components such as a live video camera, environmental sensors, and a robotic arm mechanism. The ESP32’s computational efficiency and connectivity features enable low-latency control and feedback. The proposed system enhances rescue operation reliability while minimizing human intervention and risk. This solution presents a cost-effective and scalable approach to improve emergency response.
INTRODUCTION:
Incidents involving children inadvertently falling into borewells have emerged as a significant public safety concern, particularly in rural regions of India. Numerous documented cases underscore the persistence of this issue, highlighting the urgent need for preventive infrastructure and regulatory oversight. One of the primary contributing factors is the wider diameter of borewells commonly found in rural areas, as opposed to the narrower, domestic variants prevalent in urban environments. These larger borewells are often constructed by agricultural or industrial stakeholders to fulfill substantial water extraction requirements, thereby increasing the likelihood of accidental falls.
However, the problem is not solely attributable to borewell dimensions. In rural contexts, the intensive pursuit of groundwater resources—necessitated by the infeasibility of open wells in areas with deeper aquifers—drives individuals and organizations to drill deep borewells. Open wells are only viable in regions where groundwater exists at shallow depths, a condition that is increasingly rare. Consequently, borewells become essential, especially for agricultural and commercial applications with high water demand. This dependency, when compounded by the absence of adequate safety protocols, significantly contributes to the recurrence of such fatal incidents.
Borewell-related accidents, particularly involving children, pose serious safety concerns due to delayed and complex rescue operations. Traditional manual methods often lack precision and increase the risk to rescuers. To overcome these limitations, this project introduces a technologically advanced rescue system employing the ESP32 microcontroller. The system offers wireless control, real-time feedback, and environmental monitoring to optimize rescue efficiency. The ESP32's integrated Wi-Fi and high processing speed make it ideal for time-sensitive operations in confined environments. The objective is to develop an accessible and reliable solution that supports rapid deployment in critical situations.
Objective:
To design and construct a portable bore well rescue system that is cost-effective, quick in action, and accurate. To avoid the lack of rescue operations by monitoring them regularly and saving the lives of children. To monitor the oxygen level using the oxygen sensor. To provide live video streaming of the bore well interior by using an ESP32 camera.
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Specifications
• Processor: Dual-core 32-bit Xtensa LX6 microprocessor
• Clock Speed: Up to 240 MHz
• RAM: 520 KB SRAM
• Flash Memory: 4 MB (expandable depending on module)
• Connectivity: Wi-Fi (802.11 b/g/n), Bluetooth 4.2 (Classic and BLE)
• GPIO: 34 programmable pins
• ADC: 12-bit SAR ADC (up to 18 channels)
• DAC: 2 × 8-bit DAC channels
• PWM: Multiple channels for motor and LED control
• Communication Interfaces: SPI, I²C, I²S, UART, CAN, Ethernet MAC, SD/SDIO
• Operating Voltage: 2.2 V to 3.6 V (typically 3.3 V)
• Power Consumption: Ultra-low power modes with deep sleep feature
• Package: Compact modules (ESP32-WROOM, ESP32-WROVER)
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1. Synopsis
2. Rough Report
3. Software code
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