Archana Banepali, Rajan Kadel, D. Guruge, S. J. Halder
{"title":"Design and Implementation of Wi-Fi Based Attendance System Using Raspberry Pi","authors":"Archana Banepali, Rajan Kadel, D. Guruge, S. J. Halder","doi":"10.1109/ITNAC46935.2019.9077985","DOIUrl":null,"url":null,"abstract":"The proposed system uses cutting-edge technologies such as smart phones and Wireless Access Point (WAP) to automate student attendance in the classroom settings. The system is implemented in four steps: Wireless Local Area Network (WLAN) formation using Raspberry Pi and smart phones; Received Signal Strength (RSS) threshold determination for each setting; database and web interface implementation using Apache server, MySQL and PHP; and updating the attendance using threshold RSS, Media Access Control (MAC) address, association status of mobile devices and RSS value. The system was tested in several classroom settings including the laboratory room, lecture hall and tutorial room and obtained more than 94% of accuracy in attendance marking for all settings.","PeriodicalId":407514,"journal":{"name":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 29th International Telecommunication Networks and Applications Conference (ITNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNAC46935.2019.9077985","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The proposed system uses cutting-edge technologies such as smart phones and Wireless Access Point (WAP) to automate student attendance in the classroom settings. The system is implemented in four steps: Wireless Local Area Network (WLAN) formation using Raspberry Pi and smart phones; Received Signal Strength (RSS) threshold determination for each setting; database and web interface implementation using Apache server, MySQL and PHP; and updating the attendance using threshold RSS, Media Access Control (MAC) address, association status of mobile devices and RSS value. The system was tested in several classroom settings including the laboratory room, lecture hall and tutorial room and obtained more than 94% of accuracy in attendance marking for all settings.