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Smart Attendance using Real-Time Face Recognition


Affiliations
1 Department of Computer Science & Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh,, India
     

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One of the most beneficial developments in deep learning is face recognition. As part of this innovation, a model is fed to thecomputer so that it may analyse it, learn from it, and compare it to real-time data then determining if it corresponds with theexample. The world has benefited much from programmed facial recognition, and it operates reliably. The attendance innovation we employ deals with the routine tasks of the student attendance framework and may be the finest solution for practical problems.The course of face recognition is employed in the attendance framework with facial recognition to record student attendance. Here,high-quality pre-recorded observation video and other innovations make use of the facial biometric invention. All the photographs we get from the camera of the telephone or PC will be handled precisely, and the system will naturally do all that without any preparation. Numerous calculations and methods have been created to work on the presentation of face identification, yet the idea we used is “deep learning.” It assists with changing over outline-by-outline video into pictures so that student presence can be handily distinguished and the attendance data set can be effectively and naturally returned.

Keywords

Face Recognition, Face Detection, Deep Learning, Python, Database
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  • Smart Attendance using Real-Time Face Recognition

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Authors

Habibulrahman Azizi
Department of Computer Science & Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh,, India
Numan Amin
Department of Computer Science & Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh,, India
Sayed Shoaibullah Shams
Department of Computer Science & Engineering, School of Engineering and Technology, Sharda University, Greater Noida, Uttar Pradesh,, India

Abstract


One of the most beneficial developments in deep learning is face recognition. As part of this innovation, a model is fed to thecomputer so that it may analyse it, learn from it, and compare it to real-time data then determining if it corresponds with theexample. The world has benefited much from programmed facial recognition, and it operates reliably. The attendance innovation we employ deals with the routine tasks of the student attendance framework and may be the finest solution for practical problems.The course of face recognition is employed in the attendance framework with facial recognition to record student attendance. Here,high-quality pre-recorded observation video and other innovations make use of the facial biometric invention. All the photographs we get from the camera of the telephone or PC will be handled precisely, and the system will naturally do all that without any preparation. Numerous calculations and methods have been created to work on the presentation of face identification, yet the idea we used is “deep learning.” It assists with changing over outline-by-outline video into pictures so that student presence can be handily distinguished and the attendance data set can be effectively and naturally returned.

Keywords


Face Recognition, Face Detection, Deep Learning, Python, Database

References