From Sensors to Safety: IoT-Enabled Smart Helmets as a Game-Changer for Worker Protection in High-Risk Industries
DOI:
https://doi.org/10.62255/mjhp.v3i1.164Abstract
The integration of wearable technology into workplace safety systems has emerged as a transformative solution for mitigating risks in hazardous environments. This study evaluates the effectiveness of IoT-enabled smart helmets equipped with real-time monitoring and early warning systems to enhance worker safety in industries such as mining, construction, and chemical processing. The smart helmet system integrates multiple sensors, including GPS modules for location tracking, gas detectors for environmental monitoring, temperature and humidity sensors for ambient condition assessment, and health monitoring sensors such as heart rate monitors and concussion detectors. Advanced edge AI algorithms are embedded to enable local data processing, ensuring low latency and rapid decision-making. The performance of the system was rigorously evaluated under controlled and simulated hazardous conditions, demonstrating high accuracy in location tracking (mean absolute error of 2.3 meters), gas detection (thresholds of 5 ppm for methane and 5,000 ppm for CO2), and health monitoring (97% accuracy for heart rate sensors). Battery efficiency was optimized through low-power hardware design and energy-saving strategies, achieving a continuous operational lifespan of up to 10 hours. Robust privacy and security measures, including AES-256 encryption and multi-factor authentication, ensured the protection of sensitive data. Despite these advancements, challenges such as scalability, adaptability to dynamic scenarios, and emerging cybersecurity threats remain areas for further exploration.
Downloads
Keywords:
IoT-enabled smart helmets, worker safety, hazardous environments, wearable technology, workplace safety standards.References
Alrawad, M., Lutfi, A., Alyatama, S., Elshaer, I. A., & Almaiah, M. A. (2022). Perception of Occupational and Environmental Risks and Hazards among Mineworkers: A Psychometric Paradigm Approach. International Journal of Environmental Research and Public Health, 19(6). https://doi.org/10.3390/ijerph19063371.
Bai, Y., Chen, L., & Xu, J. (2023). NeuE: Automated Neural Network Ensembles for Edge Intelligence. IEEE Transactions on Emerging Topics in Computing, 11, 485-496. https://doi.org/10.1109/TETC.2022.3214931
Bondre, V., Telrandhe, S., Ukey, D., Silare, S., Ukey, P., & Mande, P. (2023). Smart Helmet for Coal Mine Worker Safety through Live Data Tracking. 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–6. https://doi.org/10.1109/ICCCNT56998.2023.10308286
Campero-Jurado, I., Márquez-Sánchez, S., Quintanar-Gómez, J., Rodríguez, S., & Corchado, J. M. (2020). Smart helmet 5.0 for industrial internet of things using artificial intelligence. Sensors (Switzerland), 20(21), 1–27. https://doi.org/10.3390/s20216241
Chandra, R., Ashritha, Y., Akshaya, M., , B., & , B. (2023). Internet of Things (IoT) based Digital Helmet Design and Deployment. 2023 7th International Conference on Trends in Electronics and Informatics (ICOEI), 397-404. https://doi.org/10.1109/ICOEI56765.2023.10125847.
Chandrakala, G. (2024). IoT-Enabled Smart Helmet for Enhanced Safety in Riding and Mining Environments. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets48689
Chandrakala, G. (2024). IoT-Enabled Smart Helmet for Enhanced Safety in Riding and Mining Environments. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets48689.
Chen, X., He, Y., Tian, M., Qu, L., Fan, T., & Miao, J. (2023). Core-Sheath Heterogeneous Interlocked Conductive Fiber Enables Smart Textile for Personalized Healthcare and Thermal Management. Small. https://doi.org/10.1002/smll.202308404
Choi, Y., & Kim, Y. (2021). Applications of smart helmet in applied sciences: A systematic review. Applied Sciences (Switzerland), 11(11). https://doi.org/10.3390/app11115039
Dhinakaran, D., Sankar, S. M. U., Selvaraj, D., & Raja, S. E. (2024). Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration. http://arxiv.org/abs/2401.00794
Director Richard Samans. (2022). Chemical hazards in the mining sector: An industry case study.
Devi, K., Mahajan, R., & Bagai, D. (2022). Long range?based low?power wireless sensor node. ETRI Journal, 45, 570 - 580. https://doi.org/10.4218/etrij.2022-0130.
Devineni, S. K. (2024). Cite this Article: Siva Karthik Devineni, AI in Data Privacy and Security. International Journal of Artificial Intelligence & Machine Learning (IJAIML), 3(1), 35–49. https://iaeme.com/Home/journal/IJAIML35editor@iaeme.comAvailableonlineathttps://iaeme.com/Home/issue/
Dubey, A., Singh, S., & Sahu, D. (2024). Coal mine safety monitoring and altering system with smart helmet. Spectrum of Emerging Sciences. https://doi.org/10.55878/ses2024-4-1-6
Jayasree, V., & Kumari, M. N. (2020). IOT based smart helmet for construction workers. 2020 7th International Conference on Smart Structures and Systems, ICSSS 2020, 10(3), 6–10. https://doi.org/10.1109/ICSSS49621.2020.9202138
Kawale, S., Mallikarjun, S., Gowda, D., Prasad, K., R, S., & N, A. (2024). Design and Implementation of an AI and IoT-Enabled Smart Safety Helmet for Real-Time Environmental and Health Monitoring. 2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), 1-7. https://doi.org/10.1109/ICITEICS61368.2024.10625126
Khamis, Y., Alawi, M., Athumani, R., & Sanya, W. (2022). An IoT Based Worker Safety Helmet Using Cloud Computing Technology. Tanzania Journal of Engineering and Technology. https://doi.org/10.52339/tjet.vi.769
Khan, M. Z., Alhazmi, O. H., Javed, M. A., Ghandorh, H., & Aloufi, K. S. (2021). Reliable internet of things: Challenges and future trends. Electronics (Switzerland), 10(19), 1–22. https://doi.org/10.3390/electronics10192377
Krishnamurthi, R., Kumar, A., Gopinathan, D., Nayyar, A., & Qureshi, B. (2020). An overview of iot sensor data processing, fusion, and analysis techniques. Sensors (Switzerland), 20(21), 1–23. https://doi.org/10.3390/s20216076
Kumar, T. S., P, P., M, R., S, R., & A., S. (2024). Smart Helmet for Mining Industries. 2024 International Conference on Science Technology Engineering and Management (ICSTEM), 1–5. https://doi.org/10.1109/ICSTEM61137.2024.10561018
Lakshmi, S., Dagar, A., Gupta, N., Kaur, M., & Gupta, R. (2021). A TECHNICAL REVIEW ON IOT BASED MINING TRACKING AND SAFETY HELMET. International Journal of Innovative Research in Computer Science & Technology. https://doi.org/10.21276/ijircst.2021.9.4.11.
Lin, N. W., Ramirez-Cardenas, A., Wingate, K. C., King, B. S., Scott, K., & Hagan-Haynes, K. (2024). Risk factors for heat-related illness resulting in death or hospitalization in the oil and gas extraction industry. Journal of Occupational and Environmental Hygiene, 21(1), 58–67. https://doi.org/10.1080/15459624.2023.2268142
Li, D., Zhou, J., Zhao, Z., Huang, X., Li, H., Qu, Q., Zhou, C., Yao, K., Liu, Y., Wu, M., Su, J., Shi, R., Huang, Y., Wang, J., Zhang, Z., Liu, Y., Gao, Z., Park, W., Jia, H., … Yu, X. (2024). Battery-free, wireless, and electricity-driven soft swimmer for water quality and virus monitoring. Science Advances, 10. https://doi.org/10.1126/sciadv.adk6301
Lee, G., Moon, S., Hwang, J., Chi, S., & Rim, D. (2022). Real-Time Noise Sensing at Construction Sitesbased on Spatial Interpolation for Effective Reduction Measures. Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering. https://doi.org/10.7146/aul.455.c199.
Lee, P., Kim, H., Zitouni, M. S., Khandoker, A., Jelinek, H. F., Hadjileontiadis, L., Lee, U., & Jeong, Y. (2022). Trends in Smart Helmets With Multimodal Sensing for Health and Safety: Scoping Review. JMIR mHealth and uHealth, 10(11), e40797. https://doi.org/10.2196/4079
Mrs.Ashwini, K., Muddalagundi, G. K., Setty, P., Shirisha, S., & Bandri, S. (2022). A Smart Helmet for Improving Safety in Mining Industry. https://consensus.app/papers/a-smart-helmet-for-improving-safety-in-mining-industry-mrsashwini-muddalagundi/1cb10425855b583f8ba2846d8840ee9f/
Natale, C., Ferrante, R., Boccuni, F., Tombolini, F., Sarto, M. S., & Iavicoli, S. (2022). Occupational Exposure to Silica Nanoparticles: Evaluation of Emission Fingerprints by Laboratory Simulations. Sustainability, 14(16), 10251. https://doi.org/10.3390/su141610251
Nandhini, M. V, & Priya, P. G. (2018). IoT based Smart Helmet for Ensuring Safety in Industries. International Journal of Engineering Research & Technology (IJERT), 6(4), 4–7. www.ijert.org
Nayanasitachowdary, K., & Padmaja, M., 2021. A Real and Accurate GPS based Environmental Monitoring Robotic System using IoT. 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), pp. 242-247.https://doi.org/10.1109/I-SMAC52330.2021.9640769.
Parri, L., Tani, M., Baldo, D., Parrino, S., Landi, E., Mugnaini, M., & Fort, A. (2023). A Distributed IoT Air Quality Measurement System for High-Risk Workplace Safety Enhancement. Sensors (Basel, Switzerland), 23. https://doi.org/10.3390/s23115060.
Priya, C., Arjun, R., Manimaran, K., Vadivel, M., Sandeep, R., & Balachander, K. (2024). Smart Helmet Proximity Alerts for Enhanced Safety in Underground Mines. 2024 International Conference on Science Technology Engineering and Management (ICSTEM), 1–4. https://doi.org/10.1109/ICSTEM61137.2024.10561097
Sayago, I., Santos, J. P., & Sánchez-Vicente, C. (2022). The Effect of Rare Earths on the Response of Photo UV-Activate ZnO Gas Sensors. Sensors (Basel, Switzerland), 22. https://doi.org/10.3390/s22218150
Sg, I., Hc, I., Impana, H., & Sm, R. (2023). Smart Helmet Using IOT EAI Endorsed Transactions on Internet of Things. 8(6), 3427–3430.
Yang, L., Birhane, G. E., Zhu, J., & Geng, J. (2021). Mining Employees Safety and the Application of Information Technology in Coal Mining: Review. Frontiers in Public Health, 9(August), 1–12.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Christiano Evan Budiono, Hendri Lukman Nul Arif, Sekar Galih Kencana Efendi, Nadia Ayu Ramadani, Nailyaa Faza Hendrawan, Nabila Levi Mirachel Prakusya, Qoridhatul Zannah, M. Zuhair En Nabhan, Aigies Siska Dwianti
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
