Real Time Face Recognition Based Attendance System For University Classroom

Abstract

Over past few years there have been significant improvements in the field of artificial intelligence. In presented paper an automatic attendance marking setup based on the concept of face recognition has been proposed. Presented system not only mark the attendance but make an excel sheet to keep the record safe. This system successfully identifies the faces from different directions as well. First an HD 1080p camera captures the face images and then after noise reduction, histogram-oriented gradient (HOG) technique is used to detect the fascial features. Dlib face recognition API has been used in this system with 97.38 % accuracy of face recognition. System can recognize all the students present in the frame and make the record of all those students whose features matches with the database. Presented system is also capable of recognizing the students' face from multiple directions. This system can also be implemented to formulate a full proof surveillance set up in certain organization based on the concept of face recognition.