BEYOND THE ROLLCALL: SMART STRATEGY FOR ATTENDANCE

Attendance tracking is a crucial aspect of educational institutions, yet the traditional manual methods are time-consuming and error-prone. This project presents an innovative solution to this problem through the development of an automated attendance system. Utilizing advanced technologies such as face detection and optical character recognition (OCR), this system aims to streamline the attendance tracking process in schools and colleges. By automatically detecting student faces and extracting roll numbers from stickers affixed to the left side of their faces, the system eliminates the need for manual intervention, thereby improving efficiency and accuracy. Additionally, a user-friendly GUI created using customtkinter in Python enhances the system's usability and accessibility. Attendance records are automatically stored in an Excel file, allowing for easy tracking and analysis by educators.

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Publication Details

Journal
International Journal of Engineering Applied Sciences and Technology
Published
2024-09-04
DOI
https://doi.org/10.33564/ijeast.2024.v09i04.011
Primary Topic
Online and Blended Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

BEYOND THE ROLLCALL: SMART STRATEGY FOR ATTENDANCE

Mr. Tejas Varute, Mr. Shripad Rajput, Mr. Swapnil Shinde, Mr. Parth Shinde
1 links
International Journal of Engineering Applied Sciences and Technology
Online and Blended Learning
article

BEYOND THE ROLLCALL: SMART STRATEGY FOR ATTENDANCE

Mr. Tejas Varute, Mr. Shripad Rajput, Mr. Swapnil Shinde, Mr. Parth Shinde
article en

Abstract

Attendance tracking is a crucial aspect of educational institutions, yet the traditional manual methods are time-consuming and error-prone. This project presents an innovative solution to this problem through the development of an automated attendance system. Utilizing advanced technologies such as face detection and optical character recognition (OCR), this system aims to streamline the attendance tracking process in schools and colleges. By automatically detecting student faces and extracting roll numbers from stickers affixed to the left side of their faces, the system eliminates the need for manual intervention, thereby improving efficiency and accuracy. Additionally, a user-friendly GUI created using customtkinter in Python enhances the system's usability and accessibility. Attendance records are automatically stored in an Excel file, allowing for easy tracking and analysis by educators.

International Journal of Engineering Applied Sciences and TechnologyVol. 09(04)
Institute of Engineering (NP)
Quality Education
Openalex Percentile: Top 75%
Online and Blended Learning
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