Touchless Electronic Voting Machine With an Ai-Facial Recognition

Prasad, Rajendra; Kumar, K N Sunil; Gatti, Ravi; Pranav, M. V.; Rahul, Gavas; Yatheesh, M.

doi:10.1109/rteict52294.2021.9573760

Cited by 3 publications

(2 citation statements)

References 18 publications

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“…On one hand, remote e-voting provides easier access to voters, while on the other it makes it easier for election bodies to count votes and generate reports, but it required significant improvement in terms of security and integrity [19]. Aadhar card, fingerprint and facial recognition can be incorporated with voting machine and fetch data will be stored in the secure database [20]. The Aadhar card and voter id can be verified via fingerprint sensor and Node MCU ESP8266, to ensure the user's vote, MCU ESP8266 also display through Voter-verified paper audit trail (VVPAT) [21].…”

Section: Iot and Cloud Computing In Electronic Election Voting Systemmentioning

confidence: 99%

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Vaqur

Kumar²,

Singh

et al. 2023

IJRITCC

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The election voting system is one of the essential pillars of democracy to elect the representative for ruling the country. In the election voting system, there are multiple areas such as detection of fake voters, illegal activities for fake voting, booth capturing, ballot monitoring, etc., in which Industry 4.0 can be adopted for the application of real-time monitoring, intelligent detection, enhancing security and transparency of voting and other data during the voting. According to previous research, there are no studies that have presented the significance of industry 4.0 technologies for improving the electronic voting system from a sustainability standpoint. To overcome the research gap, this study aims to present literature about Industry 4.0 technologies on the election voting system. We examined individual industry enabling technologies such as blockchain, artificial intelligence (AI), cloud computing, and the Internet of Things (IoT) that have the potential to strengthen the infrastructure of the election voting system. Based upon the analysis, the study has discussed and recommended suggestions for the future scope such as: IoT and cloud computing-based automatic systems for the detection of fake voters and updating voter attendance after the verification of the voter identity; AI-based illegal, and fake voting activities detection through vision node; blockchain-inspired system for the data integrity in between voter and election commission and robotic assistance system for guiding the voter and also for detecting disputes in the premises of election booth.

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Section: Iot and Cloud Computing In Electronic Election Voting Systemmentioning

confidence: 99%

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Vaqur

Kumar²,

Singh

et al. 2023

IJRITCC

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show abstract

“…Since the voter is not verified properly, many instances occur where one person votes multiple times with different identities.  In schools and colleges, generally presidential elections are conducted using either a paper ballot system or SMS voting [11]. Using these methods makes the post-elections counting procedure quite tedious and difficult.…”

Section: Existing Systemmentioning

confidence: 99%

College Election System using Facial Authentication

Maurya¹,

Shetty²,

Yadava³

et al. 2022

Artificial Intelligence and Communication Technologies

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Voting is commonly related to politics and is often ended with exploitation. Manual voting may lead to malpractices sometimes, so there is a need to implement a secured online voting system. The voting system that we propose is a web portal which is designed using the MERN stack and the authentication of the voter is done using facial recognition. For this, the Eigen-face algorithm is used. The user will have to register and login into the portal. After that, the users will upload their respective documents which will be verified by the admin. For the voter’s assistance, the portal has several features like slot booking for the voting day, reminders for the voters, viewing of the candidates standing for the elections and a FAQ chatbot. The candidates can do online campaigning, set online rallies and build their profiles for the voters to see. The whole website is secured using a JWT token which ensures that every request made to the website is made by a legitimate and admin verified user. The voter is verified using facial authentication before he is allowed to vote. Our system uses the Eigen-Face algorithm with an accuracy of around 87%.

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Cost-Effective Electronic Voting Machine

Rajendran,

Kumar

2023

2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)

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Touchless Electronic Voting Machine With an Ai-Facial Recognition

Cited by 3 publications

References 18 publications

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

College Election System using Facial Authentication

Cost-Effective Electronic Voting Machine

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