Individuals have distinctive and unique traits that can be used to distinguish them from other human beings, acting as a form of identification. Human beings have always had the ability to recognize and distinguish between face features and with advent of machine learning, computers have been shown to have the same ability to recognize and distinguish between face features. In an attempt to develop a real-time facial recognition system, this study proposed a deep learning framework through the use of a pretrained convolutional neural network. The proposed framework was implemented on Matlab R2018a, using the Pretrained AlexNet convolutional neural network, using a locally sourced dataset; acquired through the use of the webcam. The average recognition accuracy of the system is 100%, while it takes 176 seconds to train the model and 2 second for verification.
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