1. Smart classroom and real time attendance system using raspberry pi
Authors : Kolli Renuka Priya, Dr. Jhansi Rani Singothu
Pages : 13-18
DOI : http://dx.doi.org/10.21172/1.181.03
Keywords : Keywords— facial recognition, attendance management system, smart appliances, convolutional neural network Abstract :Abstract—Class automation is the next step towards bringing technology close to the daily life of a student and faculty to help improve the student faculty interaction and get rid of the small little tasks to improve the overall efficiency in our day to day activities. This system completely automates the student attendance system and helps in using the electronic appliances in smart and efficient way. It helps us in reducing the monotonous routine every day. There are many benefits and also this project is very dynamic in nature which helps us in adding features and more functionality in the future without much makeover thus helping in providing the smartest classes possible. This paper proposes a model for implementing an automated attendance management system for students of a class by making use of face recognition technique and automatic appliances. After these, the connection of recognized faces ought to be conceivable by comparing with the database containing student's faces. This model will be a successful technique to manage the attendance and records of students.
Citing this Journal Article :Kolli Renuka Priya, Dr. Jhansi Rani Singothu, "Smart classroom and real time attendance system using raspberry pi", Volume 18 Issue 1 - November 2020, 13-18
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