GUJARAT TECHNOLOGICAL UNIVERSITY
Chandkheda, Ahmadabad
Affiliated
Ahmedabad Institute of Technology
A
Project Report
On
(FACIAL RECOGNITION ATTENDANCE)
Under subject of
DESIGN ENGINEERING– IA
B. E.III, Semester – VI
Computer Engineering
Submitted by:
Sr. No. Name of student Enrollment No.
1 KARTIK RAJPUT 220020107065
2 VRAJ SHAH 220020107077
3 DHRUV KACHIYA 220020107022
4 KARAN VHANESA 220020107091
Ms. PUJA CHATURVEDI
Faculty Guide
Dr. Dushyantsinh Rathod
Head of the Department
Academic year
(2024 - 25)
1
AHMEDABAD INSTITUTE OF TECHNOLOGY
COMPUTER ENGINEERING
2024 - 2025
CERTIFICATE
Date: / /2025
This is to certify that the case study entitled “FACE RECOGNITION ATTENDANCE
SYSTEM” has been carried out by KARTIK RAJPUT - 220020107065, under my
guidance in fulfillment of the degree of Bachelor of Engineering in COMPUTER
ENGINERRING (6th Semester) of Gujarat Technological University, Ahmedabad during
the academic year 2024-2025.
Guide Head of the Department
Ms. PUJA CHATRUVEDI DR. DUSHYANT SINGH RATHOD
AHMEDABAD INSTITUTE OF TECHNOLOGY
COMPUTER ENGINEERING
2024 - 2025
CERTIFICATE
Date: / /2025
This is to certify that the case study entitled “FACE RECOGNITION ATTENDANCE
SYSTEM” has been carried out by KARAN VHANESA - 220020107091, under my
guidance in fulfillment of the degree of Bachelor of Engineering in COMPUTER
ENGINERRING (6th Semester) of Gujarat Technological University, Ahmedabad during
the academic year 2024-2025.
Guide Head of the Department
Ms. PUJA CHATURVEDI DR. DUSHYANT SINGH RATHOD
AHMEDABAD INSTITUTE OF TECHNOLOGY
COMPUTER ENGINEERING
2024 - 2025
CERTIFICATE
Date: / /2025
This is to certify that the case study entitled “FACE RECOGNITION ATTENDANCE
SYSTEM” has been carried out by VRAJ SHAH - 220020107077, under my guidance in
fulfillment of the degree of Bachelor of Engineering in COMPUTER ENGINERRING
(6th Semester) of Gujarat Technological University, Ahmedabad during the academic year
2024-2025.
Guide Head of the Department
Ms. PUJA CHATURVEDI DR. DUSHYANT SINGH RATHOD
AHMEDABAD INSTITUTE OF
TECHNOLOGY
COMPUTER
ENGINEERING
2024- 2025
CERTIFICATE
Date: / /2025
This is to certify that the case study entitled “FACE RECOGNITION
ATTENDANCE SYSTEM” has been carried out by DHRUV KACHIYA -
220020107022, under my guidance in fulfillment of the degree of Bachelor
of Engineering in COMPUTER ENGINERRING (6th Semester) of
Gujarat Technological University, Ahmedabad during the academic year
2024-2025.
Guide Head of the Department
Ms. PUJA CHATURVEDI DR. DUSHYANT SINGH RATHOD
ACKNOWLEDGMENT
I express my sincere gratitude to Ms. PUJA CHATURVEDI, our dedicated internal guide, for his
invaluable guidance, mentorship, and unwavering support throughout the course of our project. His
expertise and encouragement have been instrumental in shaping our ideas and navigating the
complexities of our work.
A special shout-out to my amazing team members:
[ Kartik Rajput]
[ Karan Vhanesa]
[ Vraj Shah]
[ Dhruv Kachiya]
I would also like to extend my heartfelt thanks to my fellow team members for their hard work and
collaboration. Together, we navigated the challenges of our project, pooling our skills and creativity to
achieve our common goals.
3
ABSTRACT
As face recognition technology continues to advance, its application in attendance systems
has gained widespread attention due to its efficiency and convenience.
This research delves into the long-term trajectory of face recognition attendance systems,
focusing on the multifaceted challenges posed by ethical considerations, privacy concerns,
and evolving technological landscapes.
The study commences by providing an overview of the historical progression of face
recognition technology, emphasizing its integration into attendance systems and its impact on
traditional methods.
As the adoption of such systems becomes more pervasive, ethical dilemmas surrounding
consent, data security, and potential misuse necessitate critical examination. Ethical
considerations are explored through the lens of user consent, algorithmic bias, and the
societal implications of widespread face data collection.
Privacy concerns, ranging from data storage and access control to the potential for
surveillance, are dissected to identify potential risks and propose safeguards. The research
also investigates the regulatory frameworks and legal frameworks that may shape the ethical
and privacy landscape of face recognition attendance systems
4
Table Of Contents
Sr. No Topic Page
No.
College Certificate
GTU Completion Certificate
Acknowledgment
Abstract
Chapter : 1 Introduction
1.1 Project Summary
1.2 Project Purpose 1
1.3 Project Scope
1.4 Project Scope
Chapter: 2 Canvases
2.1 AEIOU framework
2.1.1 Activities
2.1.2 Environment
2.1.3 Interaction 2
2.1.4 Objects
2.1.5 Users
2.1.6 Figure
2.2 Mind Map
2.2.1 Description of Canvas
2.2.2 Figure 4
2.3 Empathy Map
2.3.1 Description of Canvas
2.3.2 Project Keyword with Description 5
2.3.3 Figure
2.4 Ideation Canvas
2.4.1 Description of Canvas
2.4.2 Project Keyword with Description
2.4.3 Figure 7
2.5 Product Development Canvas (PDC)
2.5.1 Description of Canvas
2.5.2 Project Keyword with Description 9
2.5.3 Figure
2.5.4
Chapter: 3 Rough prototype model / Conceptual Plan - Layout 10
Chapter: 4 Conclusion and Future Enhancement 11
Chapter: 5 References 12
0
CHAPTER 1: INTRODUCTION
1.1 Project summary:
This project combines a state-of-the-art face recognition attendance system with an intelligent AI
assistant for improved efficiency and user experience. The attendance system utilizes advanced
facial recognition algorithms to automate attendance tracking securely. Simultaneously, the AI
assistant, employing natural language processing and machine learning, enhances user interaction
by assisting with tasks and providing personalized responses.
.
1.2 Project Purpose:
The purpose of this project is to develop an integrated system that combines a cutting-edge face
recognition attendance system with an intelligent AI assistant. This integration aims to automate
attendance tracking securely while enhancing user
and
experience through personalized assistance, streamlining administrative processes,
advancing the capabilities of intelligent technology solutions
.
1.3 Project Scope:
We're creating a user-friendly website for electrical and civil engineers. It'll have educational
resources, design tools, and a community space. Our scope includes real-world case studies, project
management tools, and industry updates.
1.4 Project Scope:
This project encompasses the development and implementation of an integrated
system combining a face recognition attendance system and an AI assistant. The face
recognition system will feature advanced algorithms, ethical considerations, and real-time
tracking. The AI assistant will leverage natural language processing and machine learning
for personalized interactions and task automation. The integration aims to streamline
attendance tracking across various settings, offering enhanced accuracy and user
experience. 1
CHAPTER 2: CANVAS
2.1 AEIOU FRAMEWORK
2.1.1 Activities
M o n ito rin g
F a c e D e te ction
Measuring
2.1.2 Environment
Panic
Dirty
Silent
2.1.3 Interactions
Mechanical Engineer to Electrical Engineer
Electrical Engineer to Civil Engineer
Civil Engineer to Mechanical Engineer
Engineer To Worker
2.1.4 Object
Motor
Invertor
Dynamo
Transformer
Turbine
2.1.5 User
Student
Labor
Security Guard
Engineer
Farmer
2
2.1.6 Figure
3
2.2 MIND MAPPING
2.2.1 Description of canvas: Mind map is a figure representation of our website which is used to
visually organize information. In showing relationships among pieces of entities. It is a simple
concept, drawing an image in the center of a blank page. To which we associate representation of
ideas such as image and words.
2.2.2 Figure
4
2.2 EMPATHY MAP
2.3.1 Description of canvas: Empathy is the capacity to understand or feel what another person is
experiencing from our project.
2.3.2 Project keyword with description:
1. User
Civil Engineer
Electrical Engineer
2. Stakeholders
Labors
Engineers
Government
3. Activities
Transport
Site Planning for Hydropower Dam
Design Solar Power System
2.3.3 Story Boarding
i. Happy
Successfully planning the site for a hydropower dam that maximize energy
production while minimizing environmental impacts and providing job
opportunities to the local community
Successfully designing cost effective solar power system that reduces the
clients electricity bill and environmental impact
ii. Sad
Facing regulatory hurdles and local community opposition leading to project
delay and increasing cost
Facing technical challenges and cost overruns causing delay and client
dissatisfaction
5
2.3.3 Figure
6
2.4 IDEATION CANVAS
2.4.1 Description of canvas: Ideation means generating lots of new ideas. It is often the wild ideas that
speak visionary thoughts
2.4.2 Project keyword with description :
1. People
Electrical Engineer
Civil Engineer
2. Activities
Design Solar Power System
Site Planning for Hydro Power Dam
3. Situation/Context/Location
Complex/Planning/Lab
Tense/Construction/Planning Site
4. Props/Possible Solution
Circuit Boards/Simulation Software
Scale Model/Webinar
7
2.4.3 Figure:
8
2.5 PRODUCT DEVELOPMENT CANVAS
2.5.1 Description of Canvas
A product Development Canvas is a planning tool designing to help build product that have a great user
experience through a focus on feature development.
2.5.2 Product keyword with description:
1. People
Electrical Engineer
Civil Engineer
2. Purpose
Innovation Ideas
Awareness and Advocacy
3. Product Function
Job Portal
Innovative Ideas
Tech Basic
4. Product Features
Contact Form
Question & Answer
5. Product Experience
Support for Career Growth
Bridge Between Electrical & Civil Engineer
Informative
6. Components
Header Section
Image & Videos
Fonts
Footer
7. Reject, Redesign, Retain
Security Problem
9
User-friendly Interface
Good Performance
8. Customer Revalidation
Good Website Showcase
Easy To Use
Proper Layout
2.5.3 Figure:
10
LEARNING NEEDS MATRIX
Project Manager: Needs skills in project management methodologies (e.g., Agile,
Waterfall), scheduling, risk management, and resource allocation.
Business Analyst: Needs expertise in stakeholder analysis, requirements gathering, and
documentation.
Legal Advisor: Needs in-depth knowledge of data privacy and protection laws related to
biometric data.
CHAPTER 3: ROUGH PROTOTYPE MODEL / CONCEPTUAL PLAN –
LAYOUT
WEBSITE DEMO
https://attendancesystem32.000webhostapp.com/
CHAPTER 4: CONCLUSION AND FUTURE ENHANCEMENT
Future Enhancements:
Multi-modal Biometrics: Integrate additional biometric modalities such as fingerprint or
iris recognition to further enhance accuracy and provide redundancy in case of facial
recognition challenges.
Real-time Monitoring: Implement real-time attendance monitoring capabilities for instant
updates and improved responsiveness to changes in attendance status.
Machine Learning Improvements: Continuously train and improve the machine learning
models to adapt to diverse facial features, lighting conditions, and variations in
appearances.
User Authentication: Introduce multi-factor authentication methods to enhance security,
ensuring that the person being recognized is the authorized individual.
Cloud Integration: Explore cloud-based solutions for data storage and processing,
enabling scalability and accessibility from different locations.
Privacy Measures: Implement privacy features such as anonymization of facial data and
adherence to data protection regulations to address concerns related to privacy and data
security.
Mobile Integration: Develop mobile applications for convenient attendance tracking on
smartphones, providing flexibility and accessibility.
Attendance Analytics: Incorporate analytical tools to derive insights from attendance
data, helping institutions make informed decisions and identify patterns or trends.
Integration with Other Systems: Integrate the face recognition attendance system with
existing school, college, or corporate databases for seamless data flow and overall system
synergy.
Enhanced User Interface: Improve the user interface for both administrators and
end-users, ensuring a user-friendly experience and facilitating easy navigation.
12
CHAPTER 5: REFERENCE
-- Github Repo. -
https://github.com/Patelrahul4884/Attendance-Management-syste
m-using-face-recognition
-- Code Editor -
Visual Studio
-- Website Hosting -
000webhost.com for website hosting
-- Language for coding -
Python and its libraries
--System -
Windows
18
