I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]

I-FRAS is a project that is being developed in collaboration with SJK(T) KALAIVANI school to automate the process of taking attendance at educational institutions via the use of face recognition technologies. Students have a tendency to assist absent friends with their attendance by either raising t...

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Main Authors: Sundaramurthy, Kirijashini, S Kanesan, Kabilasha, Velu, Sajinithiya, Tan, Rhu Choon
Format: Book Section
Language:English
Published: Universiti Teknologi MARA, Kedah 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/83613/1/83613.pdf
https://ir.uitm.edu.my/id/eprint/83613/
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spelling my.uitm.ir.836132023-09-21T00:04:58Z https://ir.uitm.edu.my/id/eprint/83613/ I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.] Sundaramurthy, Kirijashini S Kanesan, Kabilasha Velu, Sajinithiya Tan, Rhu Choon Technological change Technological innovations I-FRAS is a project that is being developed in collaboration with SJK(T) KALAIVANI school to automate the process of taking attendance at educational institutions via the use of face recognition technologies. Students have a tendency to assist absent friends with their attendance by either raising their hands, writing their names on the attendance sheet, or simply sharing the Google Form, which has become a problem because monitoring attendance in a class with a large number of students is timeconsuming and prone to errors. Besides, students tend to assist absent friends with their attendance by sharing the manual Google Form. The primary goals are to create a face recognition system for tracking students' attendance in real time to replace the existing manual approach with an automated one and to notify parents via Gmail which will be attach with Google Datasheet to view their children’s attendance records. This project utilizes a real-time face recognition attendance system which will be develop using ESP32 Camera. To activate this ESP32 Camera, ATMEGA 328 mini-Microcontroller is programmed using Python and Arduino IDE to perform face recognition steps i.e., Capturing, Extracting, Comparing, and Matching to allow efficient recognition in recoding student attendance. The benefits of this project include the recording of time spent in and out of the building, encouraging students to arrive on time, reducing the amount of time spent recording, and allowing parents to assess attendance data using google datasheet. An increase in attendance will not result in a drop in academic attainment if this plan is implemented. Universiti Teknologi MARA, Kedah 2023 Book Section NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/83613/1/83613.pdf I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]. (2023) In: International Teaching Aid Competition 2023. Universiti Teknologi MARA, Kedah, pp. 483-488. ISBN 9789672948513
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Technological change
Technological innovations
spellingShingle Technological change
Technological innovations
Sundaramurthy, Kirijashini
S Kanesan, Kabilasha
Velu, Sajinithiya
Tan, Rhu Choon
I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
description I-FRAS is a project that is being developed in collaboration with SJK(T) KALAIVANI school to automate the process of taking attendance at educational institutions via the use of face recognition technologies. Students have a tendency to assist absent friends with their attendance by either raising their hands, writing their names on the attendance sheet, or simply sharing the Google Form, which has become a problem because monitoring attendance in a class with a large number of students is timeconsuming and prone to errors. Besides, students tend to assist absent friends with their attendance by sharing the manual Google Form. The primary goals are to create a face recognition system for tracking students' attendance in real time to replace the existing manual approach with an automated one and to notify parents via Gmail which will be attach with Google Datasheet to view their children’s attendance records. This project utilizes a real-time face recognition attendance system which will be develop using ESP32 Camera. To activate this ESP32 Camera, ATMEGA 328 mini-Microcontroller is programmed using Python and Arduino IDE to perform face recognition steps i.e., Capturing, Extracting, Comparing, and Matching to allow efficient recognition in recoding student attendance. The benefits of this project include the recording of time spent in and out of the building, encouraging students to arrive on time, reducing the amount of time spent recording, and allowing parents to assess attendance data using google datasheet. An increase in attendance will not result in a drop in academic attainment if this plan is implemented.
format Book Section
author Sundaramurthy, Kirijashini
S Kanesan, Kabilasha
Velu, Sajinithiya
Tan, Rhu Choon
author_facet Sundaramurthy, Kirijashini
S Kanesan, Kabilasha
Velu, Sajinithiya
Tan, Rhu Choon
author_sort Sundaramurthy, Kirijashini
title I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
title_short I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
title_full I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
title_fullStr I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
title_full_unstemmed I-FRAS an inteligent face recognition attendance system / Kirijashini Sundaramurthy ... [et al.]
title_sort i-fras an inteligent face recognition attendance system / kirijashini sundaramurthy ... [et al.]
publisher Universiti Teknologi MARA, Kedah
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/83613/1/83613.pdf
https://ir.uitm.edu.my/id/eprint/83613/
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score 13.18916