@article { author = {Singh, B. and Ranjan, K and Aggarwal, D.}, title = {Smart voting web based application using face recognition, Aadhar and OTP verification}, journal = {International Journal of Research in Industrial Engineering}, volume = {9}, number = {3}, pages = {260-270}, year = {2020}, publisher = {Ayandegan Institute of Higher Education}, issn = {2783-1337}, eissn = {2717-2937}, doi = {10.22105/riej.2020.259841.1157}, abstract = {There are currently two ways to vote in India. They are secret ballots and electronic vote machines, but these two processes have some limitations or disadvantages. The current system is also insecure. Many people miss the opportunity to vote simply because they need to go to the polling station and wait for several places to vote. In this paper, we proposed a voting method. In our method, the voting process has three security stages. The first stage is facial recognition, the second stage is Election ID (EID) number verification, and the third stage is One-Time-Password (OTP) verification using the user's mobile phone number registered.}, keywords = {Smart Voting System,Facial Recognition,OTP,Voter Id,winning party,Python,OpenCV}, url = {https://www.riejournal.com/article_120678.html}, eprint = {https://www.riejournal.com/article_120678_4e45341ca34fd562d4a217cefeb03e18.pdf} }