Authors :
Ashish Singh; Pankaj; Km. Tanisha; Km. Tanu; Km. Swati
Volume/Issue :
Volume 8 - 2023, Issue 8 - August
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/5kxd9kcs
DOI :
https://doi.org/10.5281/zenodo.8285965
Abstract :
The traditional method of taking attendance
has become outdated in this age of rapidly evolving new
technologies. The AI-based attendance system is a
technological solution that automates the process of taking
attendance with high accuracy and efficiency using
advanced technologies such as facial recognition,
biometrics, and machine learning algorithms.
The system combines various technologies to provide
accurate attendance tracking and access control. It
includes a door lock that only opens for authorized
individuals and an attendance tracking system that uses
facial recognition, RFID, and machine learning algorithms
to identify and record attendance data of individuals. The
facial recognition technology captures images of
individuals and trains them using machine learning
algorithms, ensuring that only authorized individuals can
access the system and havetheir attendance recorded.
The system also includes RFID technology, which
provides access to the premises, and a web portal that
allows authorized personnel to check attendance in real-
time. The system is highly scalable, customizable, easy to use,
and requires minimal training, making it suitable for small
and large organizations. In summary, the AI-based
attendance system is an innovative solution that provides
accurate attendance tracking and access control, ensuring
that only authorized individuals have access to the facility.
The system is scalable, customizable, easy to use, and
requires minimal training, making it a flexible solution for
schools, universities, and organizations that require strict
access control and efficient attendance tracking.
Keywords :
Local Binary Pattern Histogram(LBPH). Face Detection, Face Recognition, Haarcascade Classifier, Python, StudentAttendance.
The traditional method of taking attendance
has become outdated in this age of rapidly evolving new
technologies. The AI-based attendance system is a
technological solution that automates the process of taking
attendance with high accuracy and efficiency using
advanced technologies such as facial recognition,
biometrics, and machine learning algorithms.
The system combines various technologies to provide
accurate attendance tracking and access control. It
includes a door lock that only opens for authorized
individuals and an attendance tracking system that uses
facial recognition, RFID, and machine learning algorithms
to identify and record attendance data of individuals. The
facial recognition technology captures images of
individuals and trains them using machine learning
algorithms, ensuring that only authorized individuals can
access the system and havetheir attendance recorded.
The system also includes RFID technology, which
provides access to the premises, and a web portal that
allows authorized personnel to check attendance in real-
time. The system is highly scalable, customizable, easy to use,
and requires minimal training, making it suitable for small
and large organizations. In summary, the AI-based
attendance system is an innovative solution that provides
accurate attendance tracking and access control, ensuring
that only authorized individuals have access to the facility.
The system is scalable, customizable, easy to use, and
requires minimal training, making it a flexible solution for
schools, universities, and organizations that require strict
access control and efficient attendance tracking.
Keywords :
Local Binary Pattern Histogram(LBPH). Face Detection, Face Recognition, Haarcascade Classifier, Python, StudentAttendance.
