face recognition based voting using Ai
ABSTARCT :
A smart voting system using face recognition is a technique to overcome the traditional voting and EVM i.e Electronic Voting Machines. The system uses an Androidbased application to cast their votes from anywhere in the world.
The face recognition technology increase the accuracy and security of the voting process. The proposed system would work as follows: voters should install the Android-based voting software and register themselves with their personal details and facial images.
On the day of the election, voters should log in to the Android-based voting software and use their registered facial images for verification. Once verified, the voter can cast his vote. The proposed system uses facial recognition technology to reduce the fraud votes.
The system also eliminates the manual verification of voters, it decreases the risk of human error and increasing the speed of the voting process.
EXISTING SYSTEM :
India once used hand-counted paper ballots for elections. Elections are being conducted using electronic voting machines (EVMs). Two units are used in its design.
Control unit and ballot unit are what they are. A cable connects each of these components. The polling officer or presiding officer will continue to have control of the EVM. Voters can still cast their ballots within the voting compartment using the balloting apparatus that is still there.
The device will show a blue button and a list of candidates' names or symbols. A button that the voter can press to express their selection is located next to the candidate's name.
To overcome it’s disadvantages ,voting through face recognition is introduced. Several algorithms were used to recognize faces.
DISADVANTAGE :
Surveillance: Implementing face recognition technology often requires continuous surveillance, which raises concerns about data privacy. People may feel uncomfortable knowing their facial data is being captured and stored.
Discrimination: AI-based facial recognition systems have been shown to have biases, particularly in recognizing people of certain races, genders, or ethnicities. This can lead to inaccurate results, with certain groups being misidentified or excluded from voting.
Physical Limitations: Face recognition systems might have difficulty identifying certain individuals, such as those with facial deformities, heavy facial coverings (e.g., masks), or those whose appearance has changed over time.
Consent: Individuals may not have given explicit consent for their facial data to be used in a voting system, leading to ethical concerns about the collection and use of such sensitive information.
PROPOSED SYSTEM :
This project aims to build an app based voting system using face recognition. Initially data about the users will be stored in the database. If he is a new user he has to register his data. These details will get store in database.
If the user is already registered then, it will directly go to Voter login page. In user login page the user should login by using username and password. After entering the voter-id, face image will be captured.
Captured face image will be compared with the database, if the face recognized matches, it will move to voting page. In voting page there will be candidate’s details in which user can vote any one candidate. Then the vote is stored.
The user gets logged out automatically. For facial recognition, we've used the FaceNet algorithm. To find features in a facial image, a deep neural network called FaceNet is used. The input is a picture.
The result is a vector of 128 numbers that represent the key facial traits. This vector is called an embedding because it includes all the crucial information from an image.
ADVANTAGE :
Prevents Voter Fraud: Face recognition technology can help ensure that only eligible voters are able to vote by verifying their identity before they cast their vote. This helps prevent impersonation or multiple votes from the same person.
No Need for Physical Documentation: Voters do not need to carry physical voter IDs or other forms of documentation, which makes the process more streamlined and convenient, especially in areas with limited access to such resources.
Faster Voting Process: Face recognition allows for rapid identity verification, significantly reducing the time spent verifying a voter’s credentials, making the voting process more efficient.
Accurate Data Management: By using biometric data, face recognition systems can help maintain accurate voter rolls, reducing the likelihood of issues related to manual data entry, such as typos or outdated information.
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