Mining is recognized as one of the most hazardous occupations globally. The death rate of mining workers at mining sites is increasing day by day. Considering this, we cannot simply avoid mining because it plays a vital role. Instead, an alternative solution is to implement safety measures and continue operations in mines. To ensure the well-being of workers and protect them from potential health hazards, we propose a smart and adaptable helmet for workers. This advanced helmet incorporates a range of specialized sensors to monitor both environmental conditions and workers health. Environmental monitoring is facilitated by Gas sensor, Temperature and Humidity sensor, ensuring that workers are protected from hazardous conditions. Simultaneously, the helmet employs Accelerometer and Gyroscope sensors, IR sensor, Heart Rate sensor to monitor worker’s conditions. Furthermore, an integrated emergency button enables miners to request help swiftly, triggering alerts that pinpoint their exact location. Instead of relying on traditional loud alarms, the helmet communicates crucial information to the miner through a voice interface, offering real-time updates and guidance during emergency situations. The developed helmet system is primarily intended to improve the working environment in mines and ensure worker safety.
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28 February 2025
INTERNATIONAL CONFERENCE ON INNOVATIVE APPROACHES IN ENGINEERING & TECHNOLOGY: ICIAET-24
5–6 April 2024
Proddatur, India
Research Article|
February 28 2025
Mine safe: IOT based smart helmet for mining workers
Praneel Kumar Peruru;
Praneel Kumar Peruru
a)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
a)Corresponding author: [email protected]
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Yashaswini Jawalkar;
Yashaswini Jawalkar
b)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
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Pavan Peddinti;
Pavan Peddinti
c)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
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Tufel Basha Mogal;
Tufel Basha Mogal
d)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
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Divya Pommala
Divya Pommala
e)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
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Praneel Kumar Peruru
a)
Yashaswini Jawalkar
b)
Pavan Peddinti
c)
Tufel Basha Mogal
d)
Divya Pommala
e)
Computer Science Engineering (AIML), G. Pulla Reddy Engineering College
, Kurnool, Andhra Pradesh, India
a)Corresponding author: [email protected]
AIP Conf. Proc. 3237, 060035 (2025)
Citation
Praneel Kumar Peruru, Yashaswini Jawalkar, Pavan Peddinti, Tufel Basha Mogal, Divya Pommala; Mine safe: IOT based smart helmet for mining workers. AIP Conf. Proc. 28 February 2025; 3237 (1): 060035. https://doi.org/10.1063/5.0247061
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