• DIVYA PANDEY
• Priyanka Pitale
• KUSUM SHARMA

Automatic face recognition (AFR) technologies have made many improvements in the changing world. Smart Attendance using Real-Time Face Recognition is a real-world solution which comes with day to day activities of handling student attendance system. Face recognition-based attendance system is a process of recognizing the students face for taking attendance by using face biometrics based on high - definition monitor video and other information technology. In my face recognition project, a computer system will be able to find and recognize human faces fast and precisely in images or videos that are being captured through a surveillance camera. Numerous algorithms and techniques have been developed for improving the performance of face recognition but the concept to be implemented here is Deep Learning. It helps in conversion of the frames of the video into images so that the face of the student can be easily recognized for their attendance so that the attendance database can be easily reflected automatically.

: Face recognition, Face detection, Deep Learning, Convolution Neural Network (CNN), Python OpenCV

"Face Recognition Based Attendance System using Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 10, page no.547-551, October-2020, Available :http://www.jetir.org/papers/JETIR2010064.pdf

"Face Recognition Based Attendance System using Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 10, page no. pp547-551, October-2020, Available at : http://www.jetir.org/papers/JETIR2010064.pdf