Published:10th May, 2024

 

A Dynamic Facial Recognition System Using Control Analytics

 

Fatima Isiaka
Zainab Adamu

 

Abstract

 

Advances in facial recognition system as reached the stage where they are capable of matching a person’s face from a digital image or a video sequence against a database of unrecognised faces, which are typically employed to base an authentic user through ID verification services, by mapping facial features from a given image. One of the obstacles related to the angled view of the face is the twenty degrees off of frontal faces, which are obscured when one moves towards the profile; its low-resolution face images are sometimes difficult to verify. To tackle the problem of inconsistency, this paper adopts the use of a time state-space model for real-time facial recognition as a form of intelligent analytics that produces a pass and the cognitive state of the user during a scan. This process is based on two modules: (1) real-time image capture by the camera port of a PC and (2) embedding a dynamic control in the analytic tool for easy verification and evasion of false case detection.

Keywords: Facial recognition system, video sequence, low-resolution face images, intelligent analytics, state-space model, real-time facial recognition