Facial Recognition For Electorial

Facial Recognition For Electorial

1R.SriHarsha, 2S.Sai Kiran, 3A. Sai Kiran, 4K.Sai Krishna,5M.Sai Charan, 6M.Sai Lahari

1,2,3,4 Department of AIML School of Engineering,

Malla Reddy University, Maisammaguda, Dulapally, Hyderabad, Telangana-500100

5 Department of AIML

School of Engineering, Malla Reddy University, Maisammaguda, Dulapally, Hyderabad, Telangana-500100

Abstract:
The electoral system has experienced many efficient changes within the past few decades. India, still directs its races utilizing either Secret Ballet Voting (SBV) or Electronic Voting Machines (EVM), the two of which include significant expenses, physical work and are wasteful.In the existing system, it verifies only identification proof, which made more chances for fake voting.

So to overcome this problem, web- based smart voting system along with facial detection and recognition approach is used.Individual voters will be deemed eligible to vote once their identities have been verified. This is very fast and helpful technique to do the verification of the voters. All of the label pictures are trained using a convolutional neural network, which is the class of Artificial Neural Network (ANN) to anticipate the output by categorizing the photos in this technique On the database, data analysis will take place.

Key Words: excel, labeled pictures, CNN, Streamlit modules, OpenCv