Download PDFOpen PDF in browser

Hybrid Attendance Management System with Quick Response

EasyChair Preprint no. 9644

4 pagesDate: January 31, 2023


Nowadays, the attendance of students is an important aspect from the institute’s point of view. As per the university guidelines, it is important to have a minimum attendance of 75 % throughout the semester/year. So, if the attendance of the student is marked as his/her absence, then this leads to the proxy attendance scenario, and this affects the overall result of the student. Also, taking attendance physically in a class with a large number of students is a very tedious job for a teacher. So, to reduce the efforts of the teacher and to carry out smooth attendance, avoiding proxy, we have proposed a HYBRID ATTENDANCE MANAGEMENT SYSTEM WITH QUICK RESPONSE. In this, the teacher will generate the Quick Response(QR) and students will scan it. The Quick Response will be active for a limited time interval. To confirm that a student is scanning the Quick Response(QR) from the class, we have used the latitudinal and longitudinal theory. If the location of the student and the latitudinal + longitudinal degree’s position match, then only the attendance will be marked, else it will be ignored. If a student does not have a smartphone for scanning the Quick Response(QR), we have proposed the theory of random number validation if it matches the number generated by the teacher for the same. The below represents all the details about the project. In the current scenario, in most colleges and schools, attendance is taken traditionally by using paper, which leads to the wastage of paper as well as time.

Keyphrases: guideline, Hybrid, Proxy Attendance, Quick Response, random number authentication

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Vinod Wadne and Gourav Kadam and Tejas Khedkar and Shraddha Karle and Soniya Kadam},
  title = {Hybrid Attendance Management System with Quick Response},
  howpublished = {EasyChair Preprint no. 9644},

  year = {EasyChair, 2023}}
Download PDFOpen PDF in browser