Monitor Student’s Presence in Classroom
Monitor Student’s Presence in Classroom _________________________________________________________________________________________
Abstract— This project is developed for two purposes: first is avoid the manual roll number call by lecturers which is time consuming task and also to avoid proxy, second is parents monitor their children. This project aims at providing software to automatically record the students’ attendance during lecture in a classroom using facial recognition technology instead of the traditional manual roll call methods. Facial recognition method is very important and is used in various applications for identification and detection.
Keywords —Face Recognition, Attendance System, Camera, Image Processing technology, OpenCV Library Software
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Introduction
This project deals with the development and implementation of a smart and real time attendance application that monitor and traces the exact position of a student. Parents whose numbers are registered in the school/college database can use this application in their mobile phones. It provides some authentication and thus enhances security of student by using CAMERA which is used in the classroom. Using this application, parents can be carefree about the safety of their children despite being busy in their hectic job schedule. It helps you to get the actual position of your children on your smart mobile phone or even your computer. It is enabled with 3D earth map that provides you most accurate position of your child at a regular interval of time. The software provides you real time positioning system with finest accuracy. The student recognition application is for Classroom Attendance system. The attendance is automatically updated onto a personal computer of classroom and then takes printout of
Abstract— This project is developed for two purposes: first is avoid the manual roll number call by lecturers which is time consuming task and also to avoid proxy, second is parents monitor their children. This project aims at providing software to automatically record the students’ attendance during lecture in a classroom using facial recognition technology instead of the traditional manual roll call methods. Facial recognition method is very important and is used in various applications for identification and detection.
Keywords —Face Recognition, Attendance System, Camera, Image Processing technology, OpenCV Library Software
___________________________________________________________________________________________________
Introduction
This project deals with the development and implementation of a smart and real time attendance application that monitor and traces the exact position of a student. Parents whose numbers are registered in the school/college database can use this application in their mobile phones. It provides some authentication and thus enhances security of student by using CAMERA which is used in the classroom. Using this application, parents can be carefree about the safety of their children despite being busy in their hectic job schedule. It helps you to get the actual position of your children on your smart mobile phone or even your computer. It is enabled with 3D earth map that provides you most accurate position of your child at a regular interval of time. The software provides you real time positioning system with finest accuracy. The student recognition application is for Classroom Attendance system. The attendance is automatically updated onto a personal computer of classroom and then takes printout of
References: [1] Ravi Shankar Sivalingam Anoop Cherian Joshua Fasching Nicholas Walczak Nathaniel Bird “A Multi-Sensor Visual Tracking System for Behavior Monitoring of At-Risk Children.”2012 IEEE International Conference on Robotics and Automation RiverCentre, Saint Paul, Minnesota, USA May 14-18, 2012 [2] APARNA BEHARA, M.V. RAGHUNADH “REAL TIME FACE RECOGNITION SYSTEM FOR TIME AND ATTENDANCE APPLICATIONS”. [3] Balwant Singh, Sunil Kumar, Paurush Bhulania “LECTURE ATTENDANCE SYSTEM WITH FACE RECOGNITION AND IMAGE PROCESSING” International Journal Of Advance Research In Science And Engineering IJARSE, Vol. No.2, Issue No.3, March, 2013 [4] Naveed Khan Balcoh, M. Haroon Yousaf, Waqar Ahmad and M. Iram Baig “Algorithm for Efficient Attendance Management: Face Recognition based approach”. IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 4, No1,July2012ISSN(Online):1694-08.