IoT-Based Health Monitoring Jacket for Mine Workers

  • Unique Paper ID: 200502
  • Volume: 12
  • Issue: 12
  • PageNo: 2722-2727
  • Abstract:
  • Mining is one of the most dangerous working environments, where laborers are exposed to risks such as toxic gas leakage, fire accidents, high temperatures, and sudden health issues. Ensuring their safety in real time is a major challenge with traditional monitoring systems. To address this problem, this paper presents an IoT-based smart safety jacket designed to continuously monitor both environmental and health conditions of mine workers. The proposed system integrates multiple sensors, including gas sensors for detecting harmful gases, a temperature sensor for monitoring body and surrounding conditions, a heart rate sensor for tracking the worker’s health, and a flame detection sensor for identifying fire hazards. These sensors are connected to a microcontroller, which collects and processes the data and sends it to a mobile application using IoT technology. A user-friendly interface developed using Blynk allows supervisors to monitor real-time data such as gas levels, temperature, heart rate, and GPS location of workers. Whenever any abnormal condition is detected, such as increased gas concentration, presence of flame, or irregular heart rate, the system immediately triggers alerts through a buzzer as well as mobile notifications. This helps in taking quick action and reducing thechances of serious accidents. The system is designed to be lightweight, cost-effective, and easy to use, making it suitable for practical deployment. Overall, the proposed smart jacket improves worker safety by providing continuous monitoring and faster emergency response in hazardous environments. In addition to real-time monitoring, the system also enables continuous data logging, which can be useful for analyzing worker safety trends over time. The collected data can help supervisors identify risky patterns, improve safety protocols, and take preventive measures before accidents occur. This makes the system not only reactive but also proactive in ensuring workplace safety. Furthermore, the proposed design is flexible and can be adapted to other hazardous environments such as construction sites, chemical industries, and industrial plants. With the integration of IoT and wearable technology, the smart jacket contributes to the development of safer and smarter workplaces. Its simplicity, affordability, and effectiveness make it a practical solution for enhancing worker protection and reducing risks in real-world applications.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{200502,
        author = {Shoyab Mahamad Shaikh and Prof. Mrs. R. S. Hore and Akshay Bajrang Talwekar and Ashraf Ajij Ansari and Rohan Deepak Chavan and Mohammadkaif Rafique Pendhari},
        title = {IoT-Based Health Monitoring Jacket for Mine Workers},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {2722-2727},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=200502},
        abstract = {Mining is one of the most dangerous working environments, where laborers are exposed to risks such as toxic gas leakage, fire accidents, high temperatures, and sudden health issues. Ensuring their safety in real time is a major challenge with traditional monitoring systems. To address this problem, this paper presents an IoT-based smart safety jacket designed to continuously monitor both environmental and health conditions of mine workers.
The proposed system integrates multiple sensors, including gas sensors for detecting harmful gases, a temperature sensor for monitoring body and surrounding conditions, a heart rate sensor for tracking the worker’s health, and a flame detection sensor for identifying fire hazards. These sensors are connected to a microcontroller, which collects and processes the data and sends it to a mobile application using IoT technology. A user-friendly interface developed using Blynk allows supervisors to monitor real-time data such as gas levels, temperature, heart rate, and GPS location of workers.
Whenever any abnormal condition is detected, such as increased gas concentration, presence of flame, or irregular heart rate, the system immediately triggers alerts through a buzzer as well as mobile notifications. This helps in taking quick action and reducing thechances of serious accidents. The system is designed to be lightweight, cost-effective, 
and easy to use, making it suitable for practical deployment. Overall, the proposed smart jacket improves worker safety by providing continuous monitoring and faster emergency response in hazardous environments.
In addition to real-time monitoring, the system also enables continuous data logging, which can be  useful for analyzing worker safety trends over time. The collected data can help supervisors identify risky patterns, improve safety protocols, and take preventive measures before accidents occur. This makes the system not only reactive but also proactive in ensuring workplace safety.
Furthermore, the proposed design is flexible and can be adapted to other hazardous environments such as construction sites, chemical industries, and industrial plants. With the integration of IoT and wearable technology, the smart jacket contributes to the development of safer and smarter workplaces. Its simplicity, affordability, and effectiveness make it a practical solution for enhancing worker protection and reducing risks in real-world applications.},
        keywords = {},
        month = {May},
        }

Cite This Article

Shaikh, S. M., & Hore, P. M. R. S., & Talwekar, A. B., & Ansari, A. A., & Chavan, R. D., & Pendhari, M. R. (2026). IoT-Based Health Monitoring Jacket for Mine Workers. International Journal of Innovative Research in Technology (IJIRT), 12(12), 2722–2727.

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