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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM54917

Invisimark : Seamless Facial Recognition for Attendance

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM54917

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PGSS

Prof. Girish S Shivangudi

SSH

Shrinidhi S Haribhattanavar

.DNA

. D N Akshay

SCM

Shreeram C Machak

NSS

Nikhil S Salunke

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Abstract

Smart Attendance System for Face Recognition is an easy way to identify students and employees attendance in the class or organization. The Traditional attended mechanism that relies on manual prayer call or biometric attendence system etc are generally laborous procedures prone to error and can be forge by proxy, respectively. This type of system utilizes facial attributes for identification by employing modern computer vision and machine learning methods. It takes live photographs of students, teachers and staff with a camera and uses facial recognition to compare the image to others in an internal school database. Attendance is automatically tracked and stored in a secure, digital file. The objective of the project is to save time, cut down on administrative workload and improve on attendance processing. And it features report generation, trend analysis and can tie in with other management platforms. With its biometric facial recognition technology, this system offers a hands-free hygienic alternative to fingerprint and hand readers (placing the user at a safe distance from the face), and with no hardware required for networking.’CreatedBy using our time clock Software you will be able to shift the focus back on employee productivity by bypassing buddy punching.

KEYWORDS

Face-Recognition Smart Attendance System Computer Vision Machine Learning Real time Monitoring Automated Attendance Image Processing Deep Learning Digital Database 1.

Cite This Article

Prof. Girish S Shivangudi, Shrinidhi S Haribhattanavar, . D N Akshay, Shreeram C Machak, Nikhil S Salunke, "Invisimark : Seamless Facial Recognition for Attendance," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025.

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Publication Date

6/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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1

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2

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5

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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