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Shivam Kumar, Himanshu Gupta, Asif Ansari, Sumerkant
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- Student, Professor, Student, Student Department of CSE-IOT, ABES Institute of Technology, Ghaziabad, Department of CSE-IOT, ABES Institute of Technology, Ghaziabad, Department of CSE-IOT, ABES Institute of Technology, Ghaziabad, Department of CSE-IOT, ABES Institute of Technology, Ghaziabad Uttar Pradesh, Uttar Pradesh, Uttar Pradesh, Uttar Pradesh India, India, India, India
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Abstract
nThis work investigates a novel authentication approach for online voting systems that includes facial recognition verification. The goal is to create an automated voting system that increases election security and voter convenience. Voters prefer to cast their ballots in designated areas, such as polling booths, resulting in long lines and the majority of people missing out on the chance to vote. Ineligible voters may potentially fabricate their ballots, generating a variety of complications. As a result, we developed a viable and efficient voting technique or system to govern this project. Furthermore, this strategy may reduce government spending on election-related expenses. The overall goal of this project is to lessen the workload of Indian election commission officers while simultaneously assisting. Make use of your phone to vote while utilizing your face for safe identification. With Android voting systems that use facial recognition, this future vision is closer than you might believe. These methods provide less fraud, faster procedures, and increased ability to significantly affect elections. Voters may increase turnout by eliminating the need for physical IDs and instead using their smartphones for facial authentication. However, confidentiality and safety are crucial considerations. The use of facial recognition technology raises concerns about data collecting and possible abuse. Furthermore, maintaining offline voting alternatives and system integrity is crucial for promoting confidence and equality. Android voting with facial recognition is a potential approach to bring elections into the contemporary century, but before using a digital vote, examine the ethical and legal ramifications. Though face-detecting Android voting is an exciting option for the future of elections, caution should be used. Before blindly implementing this technological advance, it is necessary to carefully think through its ethical and legal ramifications. We can fully fulfill the promise of modern technology to boost the process of democracy and empower voters without sacrificing fundamental rights and security unless we engage in a transparent discussion and deal with it responsibly. Understand that using a digital ballot should not risk our right to privacy or the integrity of the system it was designed to strengthen.
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Keywords: Android, voting system, face detection, identification, facial recognition, security, privacy, authentication.
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Mechanical Dynamics and Systems Analysis(ijmdsa)]
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References
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[1] Behrainwala, A., Saxena, A., Navlani, I., Sahay, S., & Tarapore, N. (2022). Smart Voting System Using Facial Recognition. International Journal for Research in Applied Science & Engineering Technology (IJRASET), 10(I), 304-310.
[2] Meher, S., Muley, P., Pawar, S., & Solanke, A. (2022). Smart Online Voting System Using OTP Authentication and Face Recognition. International Journal of Advanced Research in Innovation and Education (IJARIIE), Vol. 8, Issue 3.
[3] Pothina, C. K., Reddy, A. I., & Ravikumar, C. V. (2020). Smart Voting System using Facial Detection. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9(6), 3519-3524.
[4] Singh, B., Ranjan, Sh., & Aggarwal, D. (2020). Smart Voting Web-Based Application Using Face Recognition, Aadhar, and OTP Verification. International Journal of Research in Industrial Engineering, 7(7), 55-62. https://doi.org/10.22105/riej.2020.229820.1133
[5] Gogate, U., Gawade, S., Gosavi, V., & Gupta, D. (2019). Voting System Using Face Recognition. Journal of Emerging Technologies and Innovative Research (JETIR), 6(3), 112-118.
[6] Devi, A., Palanisamy, V., & Jothi, A. (2017). Confidential E-Voting System Using Face Detection and Recognition. International Journal of Engineering and Techniques, 3(4), 87-92.
[7] Patil, R. H., Tarte, B. B., Wadekar, S. S., Zurunge, B. S., & Phursule, R. (2016). A Secure E-Voting System Using Face Recognition and Dactylogram. International Engineering Research Journal (IERJ), _2**(2), 758-762.
[8] Fortuna, I., & Khaeruzzaman, Y. (2022). Implementation of OCR and Face Recognition on Mobile Based Voting System Application in Indonesia. IJNMT (International Journal of New Media Technology), 9(1), 20-27.
[9] Pooja, S., Raju, L. K., & Chhapekar, U. (2021). Face detection using deep learning to ensure a coercion resistant blockchain-based electronic voting. Engineered Science, 16, 341-353.
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International Journal of Mechanical Dynamics and Systems Analysis
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| Volume | 02 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 7, 2024 | |
| Accepted | June 6, 2024 | |
| Published | June 18, 2024 |
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