• Nikita Dilip Kolekar
• Dr.Mrs.Shraddha.S.Deshpande

Now-a-days, presenty is that the major think about colleges or big organizations. In manual presenty system, It takes an excessive amount of time or sometime happens to miss someone or take multiple presenty. Deep learning based application algorithms, mostly utilized in face identification. In this paper, inset Haar cascading algorithm as well as Faster RCNN algorithm. Take comparison between these two algorithm & choose the simplest suitable for face identification with minimum time. Faster RCNN which has impressive leads to object detection. The Faster RCNN is that the recently developed method or technology of C.N.N. C.N.N has ability improve the charactericts of picture s. Face database is collected to acknowledge the scholar face. . This system is real-time system, which uses open source picture processing framework referred to as Open CV. These system automatically creating presenty & sends the messages to parent and teacher.

Haar Cascading Architecture, Faster RCNN Architecture, Raspberry Pi 3b+, Pi Camera, VGA to HDMI cable.

"Automatic Attendance System Using Face Detection With Faster RCNN in Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.d616-d622, August-2021, Available :http://www.jetir.org/papers/JETIR2108449.pdf

"Automatic Attendance System Using Face Detection With Faster RCNN in Python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppd616-d622, August-2021, Available at : http://www.jetir.org/papers/JETIR2108449.pdf