• Atharva Tillu
• Supriya Patil
• Shubham Bankar
• Akshay Jadhav
• Mayur Dawande

We reside during a world where everything is automated and linked online. the web of things, image processing, and machine learning are developing day by day. The attendance system may be a typical example of this transition, ranging from the standard signature on a paper sheet to face recognition. The face is one among the best ways to tell apart the individual identity of every other. Face recognition is a identification system that uses personal characteristics of a person to identify the person's identity. Human face recognition approach basically consists of two phases, first phase is face detection, where this phase takes place very rapidly in humans, except under conditions where the object is located at a short distance away, the next phase is the introduction, which recognize a face as individuals. Stage is then recreated and developed as a model for facial image recognition (face recognition) is one of the much-studied biometrics technology and developed by experts.

"online student attendance system via face recognition using python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.373-377, April-2021, Available :http://www.jetir.org/papers/JETIR2104052.pdf

"online student attendance system via face recognition using python", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp373-377, April-2021, Available at : http://www.jetir.org/papers/JETIR2104052.pdf