ENHANCING MINING WORKER SAFETY WITH AN INTERNET OF THINGS (IOT)-ENABLED SMART HELMET

Authors

  • P. Michael Cholines Associate Professor, Dept. of Electronics & Communication Engineering, A.M Reddy Memorial College of Engineering and Technology, Andhra Pradesh. Author

Keywords:

Arduino, IOT, Border Security System, Temperature sensor.

Abstract

The mining industry now has access to a protective cap that uses artificial intelligence to warn workers
when danger is present. We have taken into account air quality, head protector evacuation, and crash hazards in the
development of protective caps (excavators are struck by a question). The concentration of potentially harmful gases
such as carbon monoxide, sulfur dioxide, nitrogen oxide, and particles is the first problem. An excavator was used to
check for fires in the mines, which led to the second dangerous occurrence. The fire was then effectively
investigated with the help of a fire sensor. The third precarious occurrence is when excavators are hit by a protest
against the head with power exceeding a 1000 HIC estimation (Head Injury Criteria).

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Published

2019-10-18

How to Cite

ENHANCING MINING WORKER SAFETY WITH AN INTERNET OF THINGS (IOT)-ENABLED SMART HELMET. (2019). International Journal of Engineering and Science Research, 9(4), 31-37. https://ijesr.org/index.php/ijesr/article/view/1253

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