DOI: http://dx.doi.org/10.26483/ijarcs.v9i6.6339 Volume 9, No. 6, November-December 2018 International Journal of Advanced Research in Computer Science RESEARCH PAPER Available Online at www.ijarcs.info ISSN No. 0976-5697 ISSN No. 0976-5697 ATTENDANCE USING FACE RECOGNITION Sai Kiran Chintalapudi School of Computer Science and Engineering Vellore Institute of Technology Vellore, India Prajwal Reddy School of Engineering for Computers Sreenidhi Institute of Science and Technology Hyderabad, India Keerthi Shrikar Tatapudi School of Computer Science and Engineering Vellore Institute of Technology Vellore, India Abstract: Professors who teach at Universities spend a lot of time for taking attendances in different classes (slots). If theclassstrengthexceeds60,thenit will be a problem for them as they should take the attendance and teach also in the same hour. If they should mark present to a student later, then they must search for his name or any of his unique ID. Also, students will try to fake the attendance as they have to just say yes for a number which will increase the amount of proxies in a class. As it doesn’t matter for teachers, they somehow are satisfied until any one is caught red-handed. Here, we have put to use the machine learning algorithms to register the attendance using face recognition. Keywords: Attendance, recognition, product, histogram, functions. INTRODUCTION The purpose of this project paper is to explain in detail about the requirements of our project. This is intended to the users, and is to be used to know about the project and verify the correct running of system. It will explain the purpose and features of the system, the interfaces of the system, what the system will do, the constraints that it must operate. In addition, users can use product functions and use case diagrams to learn how the product can be used. PRODUCT SCOPE: Attendance using face recognition system is a software application which automatically updates the attendance in classrooms. As every faculty has a habit of bringing their laptops to their respective classes, the attendance of the students of that class will be taken by using the camera present to the laptop or by using an external camera piece. By using this, lecturers can maintain their valuable time in a perfect way. All the faculty should do is entering the details of students of a class in separate folder, so that this softwarewillsearchforthestudent’sfacewhenheappearsforthes canandwillmarkhim present if his\her photo is present in the folder. This software is strictly for the lecturers but not for the students as they might mark up their attendance and be benefitted without attending to class. LITERATURE SURVEY EXISTING SYSTEM Pedestrian detection is the existing project which is widely used all over the world. It is used in a larger basis. It is much more useful thing for the detection of people for catching criminals and to detect the robberies. APPLICATIONS OF ATTENDANCE USING FACE RECOGNITION 1. To remove the proxies in the attendance. 2. Creating genuine records in all the colleges. 3. Decrease the time taken for attendance by the lectures. 4. To decrease the work load of every faculty, so that they can concentrate on more about educating people. 5. As the world is updating in a faster pace, it is much needed for every institution to stay updated and make everything mechanicalized. 6. As it is an offline based software, it will never depend on the network problem or the lack of internet. 7. Lesser paper work. RISKS IN IMPLEMENTATION OF ATTENDANCE USING FACE RECOGNITION 1) The faculty must enter the details of all the students in a folder, a single miss match will lead to some more errors during attendance. 2) Requires high clarity camera for detection of face to make the face look more genuine. If more number of student’s data is present in the folder, it requires more time for the software to scan and detect faces and mark present\absent.