Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies

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Musheer Vaqur
Rajesh Kumar
Rajesh Singh
Anita Gehlot
Shaik Vaseem Akram
Kapil Joshi


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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How to Cite
Vaqur, M. ., R. . Kumar, R. . Singh, U. Umang, A. . Gehlot, S. . Vaseem Akram, and K. . Joshi. “Role of Digitalization in Election Voting Through Industry 4.0 Enabling Technologies”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 11, no. 2, Mar. 2023, pp. 123-30, doi:10.17762/ijritcc.v11i2.6136.


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