Modern Technology Automated Facial Recognizer Employing Image Processing

Abstract

In this study, we use image processing to create a face recognition system. The designed system has two phases. Unlocking the system in the first place requires a genuine user face, which is recognized by a facial recognition algorithm. The movement of the robot is managed after access is granted by the use of several navigation pictures. In MATLAB, the k-nearest neighbours (kNN) method is used for face recognition with the support vector machine (SVM) and the histogram of oriented gradients (HOG). Machine learning, a subfield of AI, underpins the whole operation. Here, we're working with a kind of machine learning called "supervised learning," in which the computer is taught by humans.