A Multi-Modal Approach for Age and Gender Revelation for Enhanced Voting Systems

Abstract

Humanity has made advancements in innovation pushing the boundaries of what was deemed impossible. With the help of cutting edge technology we can now determine a persons age and orientation by analyzing their image or video footage. This paperprovides an overview of the process including the techniques, strategies and algorithms involved. Unlike methods that treated these aspects separately this approach seamlessly integrates them all. It emphasizes the significance of this breakthrough. Explores its applications, in our daily lives. The main objective of this endeavor is to develop an age and orientation detector that utilizes Convolutional Neural Networks (CNN) and OpenCV to analyze features in images. Furthermore this paper showcases real world scenarios where this technology can be applied. Ranging from security services CCTV surveillance and law enforcement, to dating apps and matrimonial websites. Age and orientation estimations are determined based on image characteristics.