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PBL Abstract

The document outlines a project proposal for a face recognition-based attendance monitoring system aimed at improving the efficiency of attendance tracking in educational institutions. The system utilizes facial recognition technology to uniquely identify individuals, automatically recording attendance and generating reports in an Excel format. The project is part of a second-year engineering course at Dr. D. Y. Patil College of Engineering & Innovation.

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Yash Dhumal
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7 views5 pages

PBL Abstract

The document outlines a project proposal for a face recognition-based attendance monitoring system aimed at improving the efficiency of attendance tracking in educational institutions. The system utilizes facial recognition technology to uniquely identify individuals, automatically recording attendance and generating reports in an Excel format. The project is part of a second-year engineering course at Dr. D. Y. Patil College of Engineering & Innovation.

Uploaded by

Yash Dhumal
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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Dr. D. Y.

Patil Educational Federation’s


Dr. D. Y. PATIL COLLEGE OF ENGINEERING & INNOVATION
Survey No. 27/A/1/2C, Varale Campus, Near Talegaon Railway Station,
Tal. Maval, Dist. Pune 410 507, Ph: 020 48522561, 565,566
Web Site: www.dypcoei.edu.in, Email: principal.dypcoei@dypatilef.com

Department of Computer Engineering


Project Based Learning Course
Code: 210258
(2019 Course)
Second Year Engineering
Year 2022 – 2023

Class: S.E. Division: C Batch: C3

Group Leader Roll No & Name.


ROHIT GORDE (12377)

Team Members Roll No & Name:

1. ROHIT GORDE (12377)


2. OM KAKADE (12378)
3. MAYUR SHINDE (12380)
4. YASH DHUMAL (12374)
Project Domain Name: PYTHON

Project Title: FACE RECOGNITION BASED ATTENDANCE SYSTEM

Abstract: The main purpose of this project is to build a face recognition-based attendance
monitoring system for educational institution to enhance and upgrade the current attendance system
into more efficient and effective as compared to before. The current old system has a lot of ambiguity
that caused inaccurate and inefficient of attendance taking. Many problems arise when the authority is
unable to enforce the regulation that exist in the old system. The technology working behind will be
the face recognition system. The human face is one of the natural traits that can uniquely identify an
individual. Therefore, it is used to trace identity as the possibilities for a face to deviate or being
duplicated is low. In this project, face databases will be created to pump data into the recognizer
algorithm. Then, during the attendance taking session, faces will be compared against the database to
seek for identity. When an individual is identified, its attendance will be taken down automatically
saving necessary information into a excel sheet. At the end of the day, the excel sheet containing
attendance information regarding all individuals are mailed to the respective faculty.

Keywords: Smart Attendance System, NFC, RFID, OpenCV, Numpy

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