With the vast enhancements in telecommunication technologies, processing of audio and video has turned out to be an essential prerequisite. Human face owing to its uniqueness has become a more viable method of distinguishing one person from another. Hence it has emerged to be one of the most popular and preferred system for security and commercial applications. Attendance management by conventional means has proven to be tedious and time consuming. Hence the need for a more efficient means of smart attendance management system has become prominent. This work proposes a new methodology in which attendance of each individual student in a class room is automatically updated in a database by analyzing their faces and comparing them with the predefined images by means of face recognition module. The proposed system is achieved an accuracy of 93% to 95% for face recognition.
Volume: Volume 24
Issues: Issue 2
Keywords: Face Recognitions, Attendance Management System, Neural Network and Convolutional Neural Network.