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Lecture Notes in Networks and Systems ; 517:493-502, 2023.
Article in English | Scopus | ID: covidwho-2243628


Managing attendance is a vital task for every institution. Considering the COVID pandemic where many organizations have resorted to online mode of working, it has become imperative to maintain social distancing and digitize various processes. Thus, for maintaining attendance of the students of schools/colleges or employees of a company, a touchless attendance system is required that records the attendance by capturing faces and does not waste time. This one-of-a-kind application uses a client–server model and captures the faces of students/employees through video feeds from mobile phone cameras, and the images are sent to a server, where image processing is used to process the faces. Further, with the help of dlib and the face recognition library, it identifies the faces and records the attendance in the software itself. The processed image is again sent back to the client android application, and the user gets notified about their attendance. Additional functionalities for data analysis and updating data have also been added to the system. Thus, the whole attendance system is an effort to make the attendance activity easy and efficient. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Clin Exp Dermatol ; 46(5): 931-932, 2021 Jul.
Article in English | MEDLINE | ID: covidwho-1052753
Med Intensiva (Engl Ed) ; 2020 Jul 04.
Article in English, Spanish | MEDLINE | ID: covidwho-624137