FPGA Based Real-Time Face Authorization System for Electronic Voting System

In this paper, we have developed a standalone authentication application by using a face recognition technique with NI MyRIO and LabVIEW, along with the integration of the OpenCV library and NI VISION tool kit. The designed system can recognize and allow the authenticated person(s) keeping in view of existing systems limitation in a real-time environment, specifically caused by delay. The proposed solution is designed followed by a performance perspective and comparative analysis through Matlab, Raspberry pie, LabVIEW, and FPGA. The overall system is a combination of hardware and software, employing parallel processing techniques and modules such as NI MyRIO FPGA. The proposed designed system is tested in real-time scenarios and can be tailored to the electronic voting system via NADRA database.