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BASAVESHWAR ENGINEERINGCOLLEGE(AUTONOMOUS),BAGALKOT
COMPUTERSCIENCEANDENGINEERING
2021–2022
SEMINAR TITLE
SMARTVOTINGSYSTEMUSINGFACIALRECOGNITION
HEAD OF THEDEPARTMENT
DrV.B.Pagi
SEMINAR CO-ORDINATOR
Dr VilasNaik
SEMINAR GUIDE
Prof.PrashantB. Madhavanavar
SMART VOTING SYSTEM USING
FACIAL RECOGNITION
TABLE OF CONTENTS
 INTRODUCTION
 MOTIVATION
OBJECTIVES
IMPLEMENTATION AND TECHNOLOGY
 ADVANTAGES
 DISADVANTAGES
 CONCLUSION
 REFERENCES
1. INTRODUCTION
• In India, currently there are two types of voting system in practice.
• These are secret Ballet paper and Electronic Voting Machines (EVM), but both of
the process have some limitations.
• The current voting system is not safe and secure too.
• The voters need to go to distributed places like polling booths and stand in a long
queue to cast their vote, because of these reasons most of the people miss their
chance of voting.
• The voter who is not eligible can also cast its vote by fake means which may lead to
various problems.
• So to overcome this a new authentication technique in online voting system using
facial recognition of the voter can be used
Ballot paper voting Electronic voting machine
MOTIVATION
2
“
The motivation behind the development of an online voting system that employs facial
recognition registration as well as the use of a one-time password generated for each
voter per election, which will allow voters to participate in the elections regardless of
their physical location and to reduce the faux votes.
OBJECTIVES
• To create a secured online voting platform where authenticity of votes and voters
are ensured with the use of mechanisms such as facial recognition and one – time
password
• To enhance Voter’s identity due to the fact that biometric functions can not be
shared.
• To ease the trouble of queuing in the course of balloting duration in elections.
IMPLEMENTATION AND
TECHNOLOGIES
• Face recognition technology using image processing and one time password
for developing a software to cast a vote.
• A software which scans the face and measure the nodal points such as gap
between the eyes, emotions, nose, lips shape of the face, and other features
should be saved into the database.
12
• The voters face can be saved by a video which is further saved as grey
images.
• Whenever the voter wants to register into the website the face of the voter is
scanned and run through the database and a one time password for each
person is availed for authentication.
BLOCK DIAGRAM
13
“
ARCHITECTURE
14
16
• Every new user in the India needs to first register. So, our first step is registration
• At the time of registration system captures the face of the user by using web
camera and store the face sample in the server database for authentication.
• It is a four level security procedure in which first one is registration second one is
unique id verification (OTP), third one is voter id verification, fourth one is face
recognition.
• System checks whatever unique id and voter id entered by the voter is valid or
not.
• If unique id or voter id is correct than system will take image of voter and
compare with the respective image in the database or server.
17
• If the image in database is matching with the captured image of the voter, then
he/she is allowed to cast the vote.
• On the voting page all the party election symbols /buttons will be there. Voter can
cast their vote.
• As soon as voter casts the vote it is automatically redirected to a logout page so
that a voter can give only one vote.
• On counting form only election commission authorized user can login with the
secure id and password if both id and password is correct then voting process
will be continued.
ADVANTAGES
18
19
• Reduces faux voters and voting.
• Less manual work for the government officials.
• Less maintenance cost.
• The voters can vote remotely , no need to go to distributed places like polling booths
and stand in a long queue to cast their vote.
• Less mistakes while counting the votes.
• Time conscious, less time required for voting & counting
DISADVANTAGES
20
21
• Biometric authentication is probabilistic, which means that facial
recognition is not guaranteed to produce the correct outcome.
• The algorithms can be biased due to the used training data.
• Huge storage requirements for storing the facial recognition data and
various requirements like voters information and evaluation of results
22
• As an extreme case, it was claimed by the Detroit Police Chief that
facial recognition software misidentifies subjects 95% of the time.
• Regardless of the other factors, the main barrier to implementing facial
recognition is the risk to voter’s privacy. Depending on the
implementation, voter’s private data could be leaked in multiple ways.
6. CONCLUSION
• SMART VOTING MACHINE based on face recognition was mainly intended to
implement a face recognition based advanced Smart Voting Machine which is four
factor authentication method which helps in free and fair way of conducting elections
which are basis for democratic country like India.
• The voters can cast their vote from anywhere by logging in to smart voting system
through internet.
• As every operation is performed through internet connectivity so, it is one-time
investment for government.
• Voters location is not important but their voting is important.
THANK YOU!
REFERENCES
[1] Dr Rajendran Anandha Jothi,Confidential E-Voting System Using Face Detection and Recognition,2018.
[2]Abbas Behrainwala,Smart Voting System Using Facial Recognition,2022.
[3]Vetrivendan Lakshmanan,Viswanathan Ramasamy,J Angelinblessy,Smart Voting System Support through
Face Recognition,2018

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Seminar(smartvotingsystemmmmmmmmmm).pptx

  • 1. BASAVESHWAR ENGINEERINGCOLLEGE(AUTONOMOUS),BAGALKOT COMPUTERSCIENCEANDENGINEERING 2021–2022 SEMINAR TITLE SMARTVOTINGSYSTEMUSINGFACIALRECOGNITION HEAD OF THEDEPARTMENT DrV.B.Pagi SEMINAR CO-ORDINATOR Dr VilasNaik SEMINAR GUIDE Prof.PrashantB. Madhavanavar
  • 2. SMART VOTING SYSTEM USING FACIAL RECOGNITION
  • 3. TABLE OF CONTENTS  INTRODUCTION  MOTIVATION OBJECTIVES IMPLEMENTATION AND TECHNOLOGY  ADVANTAGES  DISADVANTAGES  CONCLUSION  REFERENCES
  • 4. 1. INTRODUCTION • In India, currently there are two types of voting system in practice. • These are secret Ballet paper and Electronic Voting Machines (EVM), but both of the process have some limitations. • The current voting system is not safe and secure too. • The voters need to go to distributed places like polling booths and stand in a long queue to cast their vote, because of these reasons most of the people miss their chance of voting.
  • 5. • The voter who is not eligible can also cast its vote by fake means which may lead to various problems. • So to overcome this a new authentication technique in online voting system using facial recognition of the voter can be used
  • 6. Ballot paper voting Electronic voting machine
  • 8. “ The motivation behind the development of an online voting system that employs facial recognition registration as well as the use of a one-time password generated for each voter per election, which will allow voters to participate in the elections regardless of their physical location and to reduce the faux votes.
  • 9. OBJECTIVES • To create a secured online voting platform where authenticity of votes and voters are ensured with the use of mechanisms such as facial recognition and one – time password • To enhance Voter’s identity due to the fact that biometric functions can not be shared. • To ease the trouble of queuing in the course of balloting duration in elections.
  • 11. • Face recognition technology using image processing and one time password for developing a software to cast a vote. • A software which scans the face and measure the nodal points such as gap between the eyes, emotions, nose, lips shape of the face, and other features should be saved into the database.
  • 12. 12 • The voters face can be saved by a video which is further saved as grey images. • Whenever the voter wants to register into the website the face of the voter is scanned and run through the database and a one time password for each person is availed for authentication.
  • 15.
  • 16. 16 • Every new user in the India needs to first register. So, our first step is registration • At the time of registration system captures the face of the user by using web camera and store the face sample in the server database for authentication. • It is a four level security procedure in which first one is registration second one is unique id verification (OTP), third one is voter id verification, fourth one is face recognition. • System checks whatever unique id and voter id entered by the voter is valid or not. • If unique id or voter id is correct than system will take image of voter and compare with the respective image in the database or server.
  • 17. 17 • If the image in database is matching with the captured image of the voter, then he/she is allowed to cast the vote. • On the voting page all the party election symbols /buttons will be there. Voter can cast their vote. • As soon as voter casts the vote it is automatically redirected to a logout page so that a voter can give only one vote. • On counting form only election commission authorized user can login with the secure id and password if both id and password is correct then voting process will be continued.
  • 19. 19 • Reduces faux voters and voting. • Less manual work for the government officials. • Less maintenance cost. • The voters can vote remotely , no need to go to distributed places like polling booths and stand in a long queue to cast their vote. • Less mistakes while counting the votes. • Time conscious, less time required for voting & counting
  • 21. 21 • Biometric authentication is probabilistic, which means that facial recognition is not guaranteed to produce the correct outcome. • The algorithms can be biased due to the used training data. • Huge storage requirements for storing the facial recognition data and various requirements like voters information and evaluation of results
  • 22. 22 • As an extreme case, it was claimed by the Detroit Police Chief that facial recognition software misidentifies subjects 95% of the time. • Regardless of the other factors, the main barrier to implementing facial recognition is the risk to voter’s privacy. Depending on the implementation, voter’s private data could be leaked in multiple ways.
  • 23. 6. CONCLUSION • SMART VOTING MACHINE based on face recognition was mainly intended to implement a face recognition based advanced Smart Voting Machine which is four factor authentication method which helps in free and fair way of conducting elections which are basis for democratic country like India. • The voters can cast their vote from anywhere by logging in to smart voting system through internet. • As every operation is performed through internet connectivity so, it is one-time investment for government. • Voters location is not important but their voting is important.
  • 25. REFERENCES [1] Dr Rajendran Anandha Jothi,Confidential E-Voting System Using Face Detection and Recognition,2018. [2]Abbas Behrainwala,Smart Voting System Using Facial Recognition,2022. [3]Vetrivendan Lakshmanan,Viswanathan Ramasamy,J Angelinblessy,Smart Voting System Support through Face Recognition,2018
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