Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1216
Full metadata record
DC FieldValueLanguage
dc.contributor.authorRajapaksha, R.A.D.S.-
dc.contributor.authorCosta, L.S.-
dc.contributor.authorPrasanna, P.L.U.S.C.-
dc.contributor.authorDisanayaka, A.P.D.-
dc.contributor.authorSenarathne, A. N.-
dc.contributor.authorWijekoon, Janaka L.-
dc.date.accessioned2022-02-17T06:49:44Z-
dc.date.available2022-02-17T06:49:44Z-
dc.date.issued2021-12-09-
dc.identifier.issn978-1-6654-0862-2/21-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/1216-
dc.description.abstractToday, this coronavirus is spread all around the world. Most organizations and businesses start to think about how to continue their business in a situation like COVID-19 and their employees’ health and business security. To avoid and be safe from this type of disease, there are some common rules to follow. Keeping a distance, wearing a mask, cleaning our hands, are some health guidelines from them. According to the current situation, many inventors are trying and have already given some solutions to avoid these kinds of situations aligning with health guidance’ provided by WHO. With the advantage of advanced modern-day technologies and ideas, researchers started to think about how to face situations like these with the new technologies and found that many users are highly interested and motivated with automated systems. Thus, from this study, we aim to provide a fully automated office management system to prevent corona with advanced technology in combination with IoT technologies, Machine learning, Cloud technologies, and sensor technologies. Considering the security aspect, Controlling the main entrance, identifying, ensuring user’s authentication before entering the building, and monitoring employee activities are very significant aspects of the study. As the result of the study, the combination of IoT technologies and Machine Learning with deep learning mechanisms have guaranteed organizational business continuity, employees' health, and security.en_US
dc.language.isoenen_US
dc.publisher2021 3rd International Conference on Advancements in Computing (ICAC), SLIITen_US
dc.subjectMachine Learningen_US
dc.subjectDeep Learningen_US
dc.subjectFlasken_US
dc.subjectOpenCVen_US
dc.subjectMobilenetV2en_US
dc.titleSmart Office Automation System for Covid Preventionen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICAC54203.2021.9671168en_US
Appears in Collections:3rd International Conference on Advancements in Computing (ICAC) | 2021
Research Papers - IEEE

Files in This Item:
File Description SizeFormat 
Smart_Office_Automation_System_for_Covid_Prevention.pdf
  Until 2050-12-31
1.55 MBAdobe PDFView/Open Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.