{"title":"Integration of Flask and Python on The Face Recognition Based Attendance System","authors":"Claudia Audia Trianti, Budhi Kristianto, Hendry","doi":"10.1109/ICITech50181.2021.9590122","DOIUrl":null,"url":null,"abstract":"Back-end is a complex system that involves various of technologies while front-end much simpler that presents back-end's processed data. Generally., front-end system uses web technology that enables user to access using web browser any where and any time as long as connected to the server. This research integrates back-end system using Python-based artificial intelligence and web based front-end as an integrated student's attendance system using face recognition technology. Since Python doesn't natively run on the web., then an integration of PHP and Flask is used to run the system and make them available on the web. In addition to present detailed integration of front-end and back-end of the developed system., performance test also be presented as well. It found 3.92 second of response time., 46.8% of CPU Usage., and 3.4 Byte of RAM Usage to process the given job.","PeriodicalId":429669,"journal":{"name":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Innovative and Creative Information Technology (ICITech)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITech50181.2021.9590122","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
Back-end is a complex system that involves various of technologies while front-end much simpler that presents back-end's processed data. Generally., front-end system uses web technology that enables user to access using web browser any where and any time as long as connected to the server. This research integrates back-end system using Python-based artificial intelligence and web based front-end as an integrated student's attendance system using face recognition technology. Since Python doesn't natively run on the web., then an integration of PHP and Flask is used to run the system and make them available on the web. In addition to present detailed integration of front-end and back-end of the developed system., performance test also be presented as well. It found 3.92 second of response time., 46.8% of CPU Usage., and 3.4 Byte of RAM Usage to process the given job.