Real-Time Smart Attendance Monitoring System With Thermal Scanning
Gorla SujanSouri, GummalaSainath Reddy, Panditi Prem Sagar, Hima Deepthi Vankayalapati · 2022
In conventional attendance system, taking roll call in class time or monitoring the presence of student/employee in an educational institute or an industry has been a time-consuming process. It is also very important to see that all educational institutes are concerned about the consistency of student's performance. The main cause of this is decrease is due to inadequate attendance. So, an advanced student attendance checking system is required which supports the faculty to keep records of attendance. In this project we have introduced an intelligent face recognition-based attendance system. We have proposed to implement a “Smart Attendance through Face Recognition” which uses viola-jones algorithm for training and detection of faces. Because viola jones is highly strong, and its use has proved to be particularly noteworthy in real-time detection. The present implementation includes time-saving facial identification and eradicates the possibilities of proxy attendance due to facial authorization. In this pandemic season to alert the staff about the infected covid patients we are using thermal scanning to detect the temperature of a person. So that we would be the reason to decrease the spread of covid and save innocent lives. This system can now be used in an area in which participation plays an important role.