Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2761
Title: ANDTi Virtual Assistant
Authors: Fathima Nihla, M.I.
Wicrama Arachchi, W. A. D. A
Dilini Subhani, K. G
Dissanayaka, D. M. I. K
Sanduni, W. T
Rankothge, W. H
Wariyapperuma, P. N
Kehelella, P. H
Keywords: ANDTi
Virtual Assistant
Issue Date: 21-Jun-2022
Publisher: IEEE
Citation: M. 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.
Series/Report no.: 2022 2nd International Conference on Image Processing and Robotics (ICIPRob);
Abstract: Due 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.
URI: http://rda.sliit.lk/handle/123456789/2761
ISBN: 978-1-6654-0771-7
Appears in Collections:Research Papers
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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