• Madhuri Kasar
• Dr. Bhakti S. Ahirwadkar

This study plans to perceive faces in a picture, video, or by means of live camera utilizing deep learning-based Convolutional Neural Network model that is quick as well as precise. Face acknowledgment is a course of recognizing faces in a picture and has reasonable applications in various spaces, including data security, biometrics, access control, policing, cards, and reconnaissance framework. Deep Learning utilizes various layers to find understandings of information at various extraction levels. It has worked on the scene for carrying out analysis in facial acknowledgment. The cutting edge execution has been bettered by the presentation of deep learning in face acknowledgment and has animated progress in viable applications. Convolutional neural networks, a sort of deep neural network model have been demonstrated to make progress in the face acknowledgment space. For continuous frameworks, examining should be finished prior to utilizing CNNs. Then again, complete pictures (all the pixel values) are passed as the contribution to Convolutional Neural Networks. The accompanying advances: highlight choice, highlight extraction, and preparing are acted in each step. This could prompt the suspicion, that convolutional neural network execution gets an opportunity to get muddled and tedious.

Deep learning, CNN, Face recognition

"Automated Attendance System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c639-c644, September-2022, Available :http://www.jetir.org/papers/JETIR2209297.pdf

"Automated Attendance System Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc639-c644, September-2022, Available at : http://www.jetir.org/papers/JETIR2209297.pdf