EVM_PPT[1].pptx bsjhbsgjygasuygxvashgfxvbgxvytSGXCVhgafsxchAFSDafcdxg

evm report

1. Group No: 14 Title: FINGER PRINT MODULE BASED BIOMETRIC ELECTRONIC VOTING MACHINE (EVM) USING ARDUINO Under the Guidance of Guide Reviewer Ms.Dhanusha A Dr. IBRAR JAHAN MA Assistant Professor Assistant Professor Miproject PhaseI presentation RNS INSTITUTE OF TECHNOLOGY Department of ECE (AICTE Approved, VTU Affiliated and NAAC ‘A’ Accredited Sl.No . Student Name USN Sec  1.  SURYA PRATAP SINGH  1RN21EC144  C  2.  VANSH AGARWAL  1RN21EC162  C  3.  UTKARSH KUMAR SINGH  1RN21EC155  C  4.  SHIVAM KUMAR GIRI  1RN21EC131  C

2. Contents Introduction Literature Survey Problem Definition/ Objectives Block Diagram Hardware/Software Requirements Methodology/Algorithm/Flowchart Expected outcomes Weekly time line References

3. Introduction This project proposes the development of a Fingerprint Module-Based Biometric Voting Machine using Arduino, voting keys, a 16x2 LCD display, LEDs, and a buzzer. The proposed system leverages biometric fingerprint authentication as a robust means of voter identification and verification. The Arduino-based electronic voting machine incorporates user-friendly features such as voting keys for ballot selection, a 16x2 LCD display for real-time feedback and instructions, and LEDs and a buzzer to provide visual and auditory cues during the voting process.

4. Literature Survey S. No. Author Title Methodology Outcomes/Remarks 1 1.Dr. Sharath Kumar A 2.Harshith P, 3.Namith Ragh Biometric Voting Machine: A Review By utilizing sophisticated fingerprint, face, or iris recognition, these machines ensure robust voter authentication and enhance overall security measures. IoT-based fingerprint system for higher voter authentication, minimizing fraudulent voting. 2 1.Shubhranil, 2.Chakrabortya, 3. Debabrata Bej Designing of a biometric fingerprint scanner-based, secure and low-cost electronic voting machine for India In this propose a system-oriented architecture of the biometric EVM machine, Voters must enter their information into the system by scanning their fingerprints using a biometric fingerprint sensor on a pre-election day in the presence of observers/commissioners. The proposed prototype can significantly speed up the voting process and reduce the amount of workforce required. 3 1.Debojyoti Ghosh1 , 2.Anushka Banerjee2 3.Pratik Ranjan 4. Roy Chowdhuri3 FINGERPRINT BASED ELECTRONIC VOTING MACHINE: A REVIEW The proposed EVS compels the voters to scan their fingerprint, which in turn is matched with preloaded image within the database. The basic objective which has unified all the journals considered for review here is enhancing the security of Electronic Voting Machines.

5. Problem Definition/ Objectives 1. Fingerprint Sensor Integration: To equip the EVM with a high-resolution fingerprint sensor for biometric authentication. 2. Verification Process : To scan the voter ' s fingerprint upon arrival and match it against the database to verify identity before allowing them to vote. 3. Real-Time Updates : To update the voter list in real-time to mark that an individual has voted as soon as their vote is cast. 4. Encryption : To use strong encryption protocols to protect the transmission and storage of fingerprint data, ensuring data privacy. 5. Unique Voter ID : To assign each voter a unique ID that is used once their vote is cast, ensuring they cannot vote again. 6. Voter Database : To maintain a secure, encrypted database of voter fingerprints linked to their voter ID.

6. Block Diagram

7. Hardware/Software Requirements Hardware Components: Microcontroller:  Arduino UNO Fingerprint Module:  R307 Fingerprint Module LCD Display:  LM016L LCD Display Resistors Buttons: ( Resul t BTN , Enroll /Back BTN ,DEL/OK BTN, Match BTN ) 6.Buzzer: BUZ1 (BUZZER) Software Components: Arduino IDE:  The Arduino Integrated Development Environment (IDE) is used to write and upload code to the Arduino UNO board. Fingerprint Library:  A library specific to the R307 Fingerprint Module is required to communicate with the module and perform fingerprint recognition tasks. LCD Library:  A library for the LM016L LCD Display is required to display text and other information on the screen. Button Debouncing Library:  A library or custom code is required to debounce the buttons and prevent multiple presses from being registered.

8. Methodology/Algorithm/Flowchart Conduct a literature review to identify existing electronic voting systems and their limitations, particularly in terms of security, accessibility, and cost-effectiveness. Design a secure and reliable electronic voting machine (EVM) using a fingerprint sensor for voter identification and verification, ensuring the integrity of the voting process and preventing impersonation and forgery. Implement a robust mechanism to prevent multiple voting, ensuring that each voter can cast their vote only once, thereby maintaining the fairness and accuracy of the election results. Create a user-friendly interface for the EVM, ensuring accessibility and usability for all voters, including those with disabilities or limited technological literacy, thereby promoting inclusivity and equal participation in the electoral process. Ensure transparency and auditability of the voting process by incorporating real-time vote counting and reporting mechanisms, as well as robust audit trails, thereby maintaining public trust in the electoral system. Develop a cost-effective and scalable electronic voting solution that can be deployed in various electoral settings, from local to national elections, thereby promoting widespread adoption and reducing the overall cost of conducting elections.

9. Expected outcomes Enhanced Security and Authentication: 1. Accurate Voter Identification: Utilization of fingerprint biometrics will ensure only registered voters can cast their vote, reducing the possibility of electoral fraud. 2. Tamper-Proof System: Biometric verification will make the voting process more secure, minimizing risks of tampering and unauthorized access. Improved Efficiency and Accuracy: 1. Faster Voting Process: Automated verification will streamline the voting process, reducing wait times and human error in voter identification. 2. Accurate Vote Counting: The Arduino-based system will ensure precise recording and counting of votes, enhancing overall election accuracy. Cost-Effectiveness and Accessibility: 1. Affordable Implementation: Using Arduino microcontrollers will lower the cost of developing and deploying the EVM, making it accessible for wider use, including in resource-constrained settings. 2. User-Friendly Interface: The system will be designed to be intuitive and easy to use, ensuring accessibility for all voters, including those with limited technical skills.

10. Weekly time line (From Week1 to Week10) Week No Activity planned Outcome

11. References Kahate , A. (2016). Biometric voting machine based on single integrated circuit compatible fingerprint sensor. International Journal of Emerging Technology and Advanced Engineering, 6(5), 14-18. Sharma, S., Gupta, P., & Joshi, P. (2017). Electronic voting machine using Arduino and fingerprint scanner. International Journal of Scientific Research in Computer Science, Engineering and Information Technology, 2(3), 445-451. Patel, N., Dalal, M., & Sharma, M. (2018). Fingerprint based voting machine using Arduino. International Journal of Engineering Research and Technology, 7(4), 482-485. Deshmukh, R., Waghmare, P., Chavan, S., & Kumbhar , P. (2019). Fingerprint based voting machine using Arduino and GSM module. International Journal of Engineering Research and Technology, 8(4), 1-4. Shinde, S., Bhalekar , S., Patil, P., & Kulkarni, P. (2021). Secure biometric voting system using Arduino, fingerprint, and facial recognition. International Journal of Advanced Research in Computer and Communication Engineering, 10(5), 22-26. Gopi, A. P., Aravind, S., Jayakumar, K., & Kishore, K. (2019). Arduino based electronic voting machine with fingerprint authentication. International Journal of Innovative Technology and Exploring Engineering, 8(6), 1078-1082. Jeyaraj, P. R., & Rajagopal, S. (2020). Fingerprint based electronic voting machine using Arduino: A cost-effective solution for secure voting. Proceedings of the International Conference on Smart Systems and Inventive Technology (ICSSIT), 1-6. Das, R., & Ghosh, S. (2021). Biometric electronic voting machine using Arduino and fingerprint sensor. International Journal of Engineering Research and Technology, 10(4), 34- 38. Manikandan, R., & Subramanian, S. (2022). A secure and transparent electronic voting system using Arduino and fingerprint authentication. International Journal of Advanced Research in Computer Science and Software Engineering, 12(1), 1-8.

12. THANK YOU