AI Powered Smart IoT Helmet for the Early Detection of COVID-19 and its Variants

The most serious threat for the year 2019 has been named as COVID-19, and it has already had a big effect on people's lives and the world economy. The world has been terrified by this virus' horrifying repercussions. Both rich and developing nations around the world have been devastated by this deadly virus. The health industry is also subject to a significant burden and expense due to COVID-19. With today's technology, continuous monitoring could save health care expenditures while also improving control over people's healthy behaviours, epidemic management, and prevention. Furthermore, the majority of monitoring studies that have been conducted so far have concentrated on the patch and have few instruments for detecting COVID-19 and its modifications, such as the propagation of the Omicron virus. Since a thermal and pi module camera with occluded sensors can continually monitor certain measuring parameters, the main goal of this research is to develop an adaptive monitoring system and model for a smart artificial intelligence (AI) helmet. Real-time calibration and incorporation of body temperature and facial identifying features. Additionally, an AI system would be used to support the proposed functionalities.

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Published
2025-04-23
DOI
https://doi.org/10.1109/icict64420.2025.11004910
Primary Topic
COVID-19 diagnosis using AI
Type
article
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article

AI Powered Smart IoT Helmet for the Early Detection of COVID-19 and its Variants

T A Mohanaprakash, Mythili Nagalingam, V. Nirmalrani, E. Venitha et al.
COVID-19 diagnosis using AI
article

AI Powered Smart IoT Helmet for the Early Detection of COVID-19 and its Variants

T A Mohanaprakash, Mythili Nagalingam, V. Nirmalrani, E. Venitha, S. Ananthi, Preena Jacinth Shalom
article en

Abstract

The most serious threat for the year 2019 has been named as COVID-19, and it has already had a big effect on people's lives and the world economy. The world has been terrified by this virus' horrifying repercussions. Both rich and developing nations around the world have been devastated by this deadly virus. The health industry is also subject to a significant burden and expense due to COVID-19. With today's technology, continuous monitoring could save health care expenditures while also improving control over people's healthy behaviours, epidemic management, and prevention. Furthermore, the majority of monitoring studies that have been conducted so far have concentrated on the patch and have few instruments for detecting COVID-19 and its modifications, such as the propagation of the Omicron virus. Since a thermal and pi module camera with occluded sensors can continually monitor certain measuring parameters, the main goal of this research is to develop an adaptive monitoring system and model for a smart artificial intelligence (AI) helmet. Real-time calibration and incorporation of body temperature and facial identifying features. Additionally, an AI system would be used to support the proposed functionalities.

GS Engineering (United States) (US), St. Joseph's Institute of Technology (IN), CMR University (IN), Sathyabama Institute of Science and Technology (IN)
Affordable and clean energy
Openalex Percentile: Top 82%
COVID-19 diagnosis using AI
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AI Powered Smart IoT Helmet for the Early Detection of COVID-19 and its Variants — T A Mohanaprakash, Mythili Nagalingam, et al. · (2025) | TGRS Research Map | TGRS