Automatic Door Opening System Using Face Recognition with PCA Algorithm

Abstract

This paper presents a solution to the automatic door opening system by face recognition by applying PCA (Principal Component Analysis) algorithm. In this work, the PCA algorithm is primarily used to recognize image objects, the feature vector formed using the eigenvectors of the covariance matrix to reorient the image data from the original axes to the ones is used to identify the principal components. The image dataset consists of twenty photos. Using UART (Universal Asynchronous Receiver Transmitter) communication to transmit signal to the Arduino microcontroller to control the servo motor run to open the door. The simulation results show that the proposed solution gives high accuracy and the processing speed is quite fast.