{"title":"Intelligent Systems Powered Hourly Attendance Capturing System","authors":"Nuzhat Yasmeen, Kishor Kumar Reddy C, Srinath Doss","doi":"10.1109/ICOEI56765.2023.10125964","DOIUrl":null,"url":null,"abstract":"In all institutions, keeping attendance is essential in order to monitor the student attendance percentage. Each institute takes a distinct stance in this regard. Others continue to manually record attendance for each hour using old-fashioned paper, uploading the data for each hour of a class to a server or utilizing a file-based approach. Some have adopted ways of automatic attendance using some biometric technologies. Unfortunately, employing these strategies requires people to spend hours waiting in line. Thus, the primary objective of this system is to create an automated system that uses artificial intelligence based student attendance monitoring system on an hourly basis using cameras that are already deployed in the classrooms. To mark attendance and save itin a database, AWS services will be used","PeriodicalId":168942,"journal":{"name":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 7th International Conference on Trends in Electronics and Informatics (ICOEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOEI56765.2023.10125964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In all institutions, keeping attendance is essential in order to monitor the student attendance percentage. Each institute takes a distinct stance in this regard. Others continue to manually record attendance for each hour using old-fashioned paper, uploading the data for each hour of a class to a server or utilizing a file-based approach. Some have adopted ways of automatic attendance using some biometric technologies. Unfortunately, employing these strategies requires people to spend hours waiting in line. Thus, the primary objective of this system is to create an automated system that uses artificial intelligence based student attendance monitoring system on an hourly basis using cameras that are already deployed in the classrooms. To mark attendance and save itin a database, AWS services will be used