Computer vision based attendance system

  • Which algorithm is used for attendance management system?

    It is based on face recognition algorithm.
    When a person enters the classroom, his image is captured by the camera at the entrance.
    Face region is then extracted and then used for further processing..

  • Which software is used for attendance management system?

    sumHR is one of the most popular attendance management software in India.
    They have an app from which employees can take care of their HRM activities and check their employee life-cycle easily. sumHR provides easy biometric integration as well and ties it pretty good with the payroll management..

  • The process works by capturing digital images of faces and comparing them against a database of previously collected data.
    The captured image is then matched to the information stored within the system, which will either return a match location or not depending on whether the person is in the database or not.
  • What is an AI Attendance System? AI-based attendance management system is a technological solution that streamlines attendance-related practices like facial recognition, biometric identification, working hours auto tracking, and more.

Is a mobile automatic classroom attendance management system based on face recognition?

Samet et al. propose a mobile automatic classroom attendance management system based on face recognition that requires no additional equipment.
Face recognition was designed using the euclidean-based filtering system measured with three face recognition techniques.

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Is a Raspberry Pi a smart classroom attendance management system?

This process is both time-consuming and error-prone, i.e., student proxy, etc.
Hence a face recognition based smart classroom attendance management system using computer vision and deep learning implemented on a Raspberry Pi has been proposed.

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Is a smart attendance marking system based on a machine learning model?

This paper presents a Smart Attendance marking system Built using RaspberryPi and Pi camera loaded with a trained Machine Learning model for Face recognition based on FaceNet algorithm which can recognize multiple faces in any given image.


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