Elect Smart: Casting Vote Using Facial Recognition

Abstract

The adoption of face feature recognition technique in smart elect voting system is a crucial advancement in the election process. The system suggested enhances the productivity, convenience and security of voters. Through the use of biometric algorithms, only authentic voters can cast their vote. When a voter registers, his or her face is captured and kept in a computerized database in encrypted form. Voters on election day simply go through the kiosks. Their faces are captured in real time and compared in real time with data in storage. The voice assistant helps in opening up and running through the VoIP interfacing choice system; confirming choices through voice instructions makes it easier to expedite the election which quickens the vote-taking process. Physically challenged individuals are sure to be aided by this facility as well as a larger voters' constituency who do not understand the computer system. Additionally, the smart vote-casting system has been developed towards flexibility and scalability. The system accommodates a massive voter turnout and conducts different types of elections at a national and local level and simultaneously or separately. The overall system is designed with security as its core focus the modern techniques of encryption protect highly sensitive information like voter records. The face recognition software has proactive measures put in place such as routine evaluations aimed towards previously established cybersecurity issues that are prone to exploitation so overhaul updates can be administered frequently guarantee bolstered defense against new cyber threats. Overall sophisticated methods are used to encrypt information thus putting relentless effort into defending voter data.