Implementing the Study of Attendance System Using OpenCV with the Help of Facial Recognition


  • Sharma Deepak Student, Department of Computer Science and Engineering, Hindustan College of Science & Technology, Mathura, India
  • Sharma Akash Research Scholar, Department of Mechanical Engineering, GLA University, Mathura, India


Face Acknowledgement system, Involuntary attendance, Verification, Bio-metric, OpenCV


For the detection, Confirmation and documentation of humanoid faces. We symbolize a tactic to gross the facial detection of a person as a resources of compelling input which have difficult physical appearance of the faces to those the different peoples. It drives only work on the 2D Appreciation. It drives also an important branch of verification of biometric and has been used extensively in the numerous arenas (i.e. Video Monitoring System; Mainframe-Human communication and also the prospective of Door Control System): Attendance system monitoring will incorporate the recognition of face expertise. The framework will record the participation of the understudies in homeroom condition consequently and it will give the offices to the staff to get to the data of the understudies effectively by keeping up a log for check in and check out time.


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How to Cite

. S. Deepak and . S. Akash, “Implementing the Study of Attendance System Using OpenCV with the Help of Facial Recognition”, IJRAMT, vol. 1, no. 1, pp. 16–19, Sep. 2020.