Scholarlink

In disaster zones, the efficiency of rescue efforts is hindered by slow response times, unsafe conditions, and limited availability of affordable technology. This paper introduces the design and implementation of a low-cost, modular rescue system consisting of an ESP32 microcontroller coupled with a combination of sensors such as GPS, LoRa, ultrasonic, IR, gas, and humidity sensors. Built for versatility, the system is mountable on a range of platforms boats, drones, or mobile robots to deploy quickly and provide real-time situational awareness in disaster-struck areas. A prototype was built and tested to validate the system’s real-time performance using Bluetooth-based telemetry. Trials confirmed successful real-time monitoring of multiple sensors with Bluetooth connectivity. The original plan of using LoRa and ESP 32 CAM streaming are under development and are identified as future scope. The modular framework suggested presents a promising step towards affordable, efficient, and safer disaster management systems

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Smart Rescue: Prototype of a Low-Cost Modular IoT System for Disaster Response

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Rupali Deshpande,
  • Arnav Borde,
  • Arjun Ghadge,
  • Arnav Mahajan,
  • Archit Boraste,
  • Vastav Araj,
  • Arka Barat

摘要

In disaster zones, the efficiency of rescue efforts is hindered by slow response times, unsafe conditions, and limited availability of affordable technology. This paper introduces the design and implementation of a low-cost, modular rescue system consisting of an ESP32 microcontroller coupled with a combination of sensors such as GPS, LoRa, ultrasonic, IR, gas, and humidity sensors. Built for versatility, the system is mountable on a range of platforms boats, drones, or mobile robots to deploy quickly and provide real-time situational awareness in disaster-struck areas. A prototype was built and tested to validate the system’s real-time performance using Bluetooth-based telemetry. Trials confirmed successful real-time monitoring of multiple sensors with Bluetooth connectivity. The original plan of using LoRa and ESP 32 CAM streaming are under development and are identified as future scope. The modular framework suggested presents a promising step towards affordable, efficient, and safer disaster management systems