This project presents an advanced safety monitoring system for mining operations, using Atmega 328 as the controller and ESP8266 for cloud integration. It aims to enhance the safety of mining employees by continuously monitoring environmental and physiological conditions. Key features include detecting toxic gases in the mining area, tracking employees’ body temperature and heart rate in real-time, and providing an emergency button for immediate assistance, sending alerts with precise GPS locations. Additionally, an AI model verifies compliance with safety protocols by analysing real-time camera feeds to check if workers are wearing helmets and safety jackets. Non-compliance triggers an update to the cloud server for timely intervention. By combining environmental monitoring, health tracking, and AI-based safety compliance, the system ensures rapid emergency response and helps reduce accident risks, improving overall safety standards in mining environments.

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 Mining Helmet: Integrating AI for Enhanced Safety and Efficiency in Underground Mining

  • P. Prannav,
  • Ompirakash,
  • P. Mahalakshmi,
  • A. Arockia Abins

摘要

This project presents an advanced safety monitoring system for mining operations, using Atmega 328 as the controller and ESP8266 for cloud integration. It aims to enhance the safety of mining employees by continuously monitoring environmental and physiological conditions. Key features include detecting toxic gases in the mining area, tracking employees’ body temperature and heart rate in real-time, and providing an emergency button for immediate assistance, sending alerts with precise GPS locations. Additionally, an AI model verifies compliance with safety protocols by analysing real-time camera feeds to check if workers are wearing helmets and safety jackets. Non-compliance triggers an update to the cloud server for timely intervention. By combining environmental monitoring, health tracking, and AI-based safety compliance, the system ensures rapid emergency response and helps reduce accident risks, improving overall safety standards in mining environments.