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In this Digital life, face recognition system plays an important role in every sector.

Face Recognition, iris, finger print are human biometrics. Face Recognition based Attendance marking is the monitoring system for students in the class. This eliminates the unusual marking of false attendance of the students. Generally, Face recognition is mainly used for the security, authentication and some real time applications like mobile lock system but it can also be used for implementing for Attendance System in Educational Institutions and Organizations. This system aims to build an automated classroom attendance system as manual attendance is time consuming and clumsy to draft. This system uses CNN for face detection which works more efficiently compared to other algorithms in almost all differently angles. It requires high computational power but is more accurate. This system will obtain the Facial Landmarks using inbuilt face landmarks detector in Face recognition package in the python libraries. There by obtaining 128 face encodings for each face in the image there by comparing the two face value sets will result in the face recognition using Open CV.