• SADI MOHAN KRISHNA
• B.VENKATESH,
• D. MADHURI ALEKHYA,
• Y. AJAYREDDY
• K.SRISOWMYA,

Now-a-days most of the time is wasted for taking attendance in a class by a person manually. Still, students are manipulating the attendance by making false attendance, proxy and leading to incorrect attendance. We came with a proposal of attendance system based on face recognition. Face Recognition is widely used for security purpose and to verify attendance statistics of a student in the class room. The system uses a combination of techniques in machine learning. First, we detect a face in the given image then train the system with a detected face. Face detection is done using OpenCV. Training is done with a number of images of the same person taken at different angles with machine learning algorithms like neural networks, regression. During training, an image is given with details of the person. we also use focus points to distinguish people. Finally, after training system it takes input as video and detect face, identify the name and id of the person in the video and gives output as attendance to the student in excel format. To reduce wastage of time for taking attendance, false attendance and proxy we implement this project as one of the solutions.

Face Recognition, OpenCV, Machine Learning, Neural Networks, Regression, etc.

"ATTENDANCE SYSTEM BASED ON FACERECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.151-154, April-2019, Available :http://www.jetir.org/papers/JETIRBE06029.pdf

"ATTENDANCE SYSTEM BASED ON FACERECOGNITION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp151-154, April-2019, Available at : http://www.jetir.org/papers/JETIRBE06029.pdf