Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16496
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dc.contributor.authorDankan Gowda, V-
dc.contributor.authorPonnambalam, Nisha-
dc.contributor.authorSheela, S K-
dc.contributor.authorReddy, H G Govardhana-
dc.contributor.authorSajjanara, Veeresha A-
dc.contributor.authorRaghavendra, K-
dc.date.accessioned2024-08-29T05:41:20Z-
dc.date.available2024-08-29T05:41:20Z-
dc.date.issued2024-
dc.identifier.citationpp. 1-6en_US
dc.identifier.isbn9798350349221-
dc.identifier.urihttps://doi.org/10.1109/AIMLA59606.2024.10531358-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16496-
dc.description.abstractThis study a new system of real-time monitoring and analysing UV radiation using an integrated method is explored. It combines Arduino and MATLAB technologies for data collection and subsequent data analysis respectively. The main purpose of this work is to summarize the roles of UV radiation levels, their changes in space and time, and the efficiency of different sunscreen methods. By developing a UV sensor network along with a MATLAB algorithm, the following work is able to provide holistic views of any given area's UV radiation levels and possible health effects of UV exposure. The research methodology we adopted includes the acquisition of UV radiation information from various time and location frames, which is next followed by an analytical phase in which we evaluate the effectiveness of photoprotection tools including sunscreen, clothing, and shade. In other words, the research examines the association between the exposure of UV and the possibility of obtaining skin damage, insisting on the use of protective measures. Integration of a UV radiation monitoring and alerting system into the app by providing the users with real-time information on UV levels and dispatching notifications accordingly is undoubtedly one of the crucial aspects of this research. These alerts are aimed at reminding the users to apply protective measures that they deem suitable. The outcomes of the research unveils a significant daily and geographical variance in UV exposure, identifying the peak time and places of major risk. On the one hand, comparative analysis highlights practical benefits obtained after photoprotection methods application; on the other hand, data show explicitly that risk of increased damage skin damage increases with exposure of the skin to UV. The reaction of the users is the next important indicator of the alert system which strengthens its purpose in informing the public and guide them write the right actions to do to avoid this danger. © 2024 IEEE.en_US
dc.language.isoenen_US
dc.publisher2nd International Conference on Artificial Intelligence and Machine Learning Applications: Healthcare and Internet of Things, AIMLA 2024en_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectArduinoen_US
dc.subjectData Visualizationen_US
dc.subjectMatlaben_US
dc.subjectReal-Time Monitoringen_US
dc.subjectSkin Damage Risken_US
dc.subjectUltraviolet (Uv) Radiationen_US
dc.subjectUv Exposure Analysisen_US
dc.subjectUvindex Alertsen_US
dc.titleReal-Time Uv Radiation Monitoring and Analysis with Arduino and Matlab for Enhanced Exposure Trackingen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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