Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2761
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dc.contributor.authorFathima Nihla, M.I.-
dc.contributor.authorWicrama Arachchi, W. A. D. A-
dc.contributor.authorDilini Subhani, K. G-
dc.contributor.authorDissanayaka, D. M. I. K-
dc.contributor.authorSanduni, W. T-
dc.contributor.authorRankothge, W. H-
dc.contributor.authorWariyapperuma, P. N-
dc.contributor.authorKehelella, P. H-
dc.date.accessioned2022-07-14T05:11:38Z-
dc.date.available2022-07-14T05:11:38Z-
dc.date.issued2022-06-21-
dc.identifier.citationM. I. F. Nihla et al., "ANDTi Virtual Assistant," 2022 2nd International Conference on Image Processing and Robotics (ICIPRob), 2022, pp. 1-6, doi: 10.1109/ICIPRob54042.2022.9798736.en_US
dc.identifier.isbn978-1-6654-0771-7-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2761-
dc.description.abstractDue of the current COVID-19 pandemic crises, there is a worldwide need for quick medical findings. Furthermore, due to a lack of medical facilities and medical practitioners’ hectic schedules, several examinations must now be performed by the general public. Also because of the high rate of transmissibility of COVID-19, even asymptomatic patients can readily transfer the virus to others, faster detection is critical during the initial phase of COVID-19, which is early identification. The earlier a patient is detected; the better the virus’s spread may be stopped and the patient can undergo proper treatment. As the nationwide vaccination process is in its later part, it is obvious that the government will uplift its regulations and the employees will have to return to their workplaces or offices. As a solution to this upcoming urgency the authors would like to propose a solution to identify COVID- 19 patients in advance at corporate level. As an IoT based solution a device is supposed to be setup on top of each employee’s desk, which in return will be used to monitor the oxygen level, temperature, and heartbeat rate of the employees.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2022 2nd International Conference on Image Processing and Robotics (ICIPRob);-
dc.subjectANDTien_US
dc.subjectVirtual Assistanten_US
dc.titleANDTi Virtual Assistanten_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIPRob54042.2022.9798736en_US
Appears in Collections:Research Papers
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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