Smart Electronic Voting Machine Using RFID and Face Recognition Methods

Project Title

Smart Electronic Voting Machine Using RFID and Face Recognition Methods

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Pakistan has long struggled with the fact that it has never had true democracy in power. The main reason for this is because it has never been led by competent leadership. People are suspicious of elections, elected entities, and the democratic environment in which they can freely cast their votes.

There are several problems that make the election controversial. The main issues are:

• It's difficult to appoint polling employees.
• The number of staff required for polling increases, as the number of polling stations are increased.
• The printing and distribution of a large number of ballot papers at voting sites costs billions of dollars, which is unacceptably expensive for a developing country like Pakistan. 
• The ballot papers are counted by the Presiding Officers, but human counting is slow and easy to mistake, implying an ultimate tragedy in the democratic process.

To improve the election process, the proposed project explains the design and operation of a smart voting system that uses Arduino, RFID, and facial recognition. To prevent electoral fraud and ensuring the country's elections are conducted safely, securely, reliably, transparently, and smoothly.  The project is about an innovative voting method in which the gadget connects with an RFID tag embedded in the voter ID card. The controller examines the voter's ID when he scans his card, and if it matches, the vote may be accessible. By employing an image processing technology, the voter's face is matched with the database picture; if the person is confirmed, the individual is permitted to vote, and this procedure is repeated for each person.

Project Objectives

The following is a list of the study's objectives:

• To make an automated smart rigging free voting system using face recognition.
• To make ballot paper-free electronic election system.
• To develop a such system in which whole system works itself without employing voting staff.

Project Implementation Method

Radio Frequency Identification Module, facial recognition technology, and a desktop application are all included in the smart voting system. Every voter will be required to have an identity card with RFID, and the system will compare the information held in the system database to verify the voter. The system features face detection and recognition technologies for identification verification. Following that, a candidate's name will be presented on screen based on their voter's constituency location, and a "Vote" button will be offered for each contender. To vote for his or her preferred candidate, the voter only needs to hit the vote button. The voting will be anonymous, and each vote will be automatically counted. This will boost voter turnout, lower election expenses, and enhance the accuracy of the results. Once the user has cast their vote, the information about the voters will be automatically removed from the application interface.

Benefits of the Project

This proposed system will be advantageous in different ways:

• An economical and automated voting system which is free from rigging.
• The results of voting may be generated rapidly and automatically.
• Just one vote can be casted by one person so the EVM reduces the possibilities of the fake votes.
• The EVMs are run by the batteries, so these machines can be used in those areas whereas there is no electricity.
• The system contains a database of voters and candidate; thus the results can be verified at any stage.
• This suggested system is uninterruptible, centralised, cost-effective, and time-centric.

Technical Details of Final Deliverable

Our project is based on both methods i.e. Hardware and software.

The hardware used in the implementation of this project are:

1. Arduino Uno

2. RFID Module

3. Camera

4. Buzzer

5. LCD

6. I2C Module

7. Stepdown Transformer

8. Voltage Regulator

9. Indicating LED

10. Computer

The study looked at the usage of a smart voting system that proposes a desktop software that is far more secure than the current approach. Face recognition and RFID verification will be used to verify voters. Only confirmed people are allowed to vote. Voters are only allowed to vote once. As a result, repeated voting or virtual voting are not permitted. This suggested method will set a voting time restriction and allow people to vote only during that time.

The software used in the implementation of this project are:

• Arduino IDE
• Visual Studio

In these software we can be doing all type of programming and coding relating Facial Recognition and RFID.

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies OthersSustainable Development Goals Peace and Justice Strong InstitutionsRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	44170
Arduino Uno	Equipment	1	2200	2200
RFID Module	Equipment	5	450	2250
High Definition Camera	Equipment	1	5000	5000
I2C Module	Equipment	2	350	700
16 x 2 LCD	Equipment	1	450	450
Stepdown Transformer	Equipment	2	450	900
Vote Casting unit with Symbols touchpad	Equipment	1	14500	14500
Alarm / Indicator	Equipment	1	1450	1450
Voltage Regulator	Equipment	2	800	1600
Indicating LED's	Equipment	10	20	200
Servo motor	Equipment	1	870	870
Wires	Equipment	20	60	1200
Battery	Equipment	2	2350	4700
Connectors	Equipment	4	100	400
Arduino Connector	Equipment	1	750	750
Board	Equipment	1	1000	1000
Printing Thesis Writing	Miscellaneous	1	6000	6000