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.
Authors
- T A Mohanaprakash
- Mythili Nagalingam
- V. Nirmalrani
- E. Venitha
- S. Ananthi (ORCID: https://orcid.org/0000-0003-0546-2354)
- Preena Jacinth Shalom
Institutions
- GS Engineering (United States) (US)
- St. Joseph's Institute of Technology (IN)
- CMR University (IN)
- Sathyabama Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/icict64420.2025.11004910
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00