Auto-Attend

ISBN-13: 9786205491348 / Angielski / Miękka / 96 str.

Mani Bhushan Jauhari; Metali Thareja; Atul Kumar

Opis

Automated Attendance system uses face biostatics accompanied by the techniques of image processing and machine learning algorithms to recognize students. Face recognition technology complementary to Image Processing is gradually evolving to a universal biometric solution since it does not require any virtual effort from the user as compared to other biometric options. The main objective is to develop a real-time attendance monitoring system that overcomes the shortcomings of existing methods. The approaches vary in terms of input methods used, type of data processing employed and the controllers used in the implementation of the systems. The Proposed System is provided with snaps on which face detection and recognition technique is applied. After faces are detected, they are recognized by matching them with existing database, system updates the attendance for all recognized members with their respective id. An excel sheet is generated for the attendance record.

O autorze

Er. Mani Bhushan Jauhari, Er. Metali Thareja are the graduates of Shri Ramswaroop Memorial College of Engineering and Management Lucknow. They have completed their Bachelor of Technology in Computer Science and Engineering.Dr. Atul Kumar is working as an Associate Professor and Head of Department in the Department of Computer Science & Engineering.