Tracking Unauthorized Access Using Machine Learning and PCA for Face Recognition Developments

In the last two decades there has been obtained tremendous improvements in field of artificial intelligence (AI) especially sector face/facial recognition (FR). Over years, world remarkable progress technology that enhanced face detection techniques use on common PCs and smartphones. Moreover, steadily programming languages, libraries, frameworks, tools combined with great passion developers researchers worldwide contribute substantially to open-source AI materials produced machine learning (ML) algorithms available any scholar will build software tomorrow. The study aims analyze specialized literature starting from first prototype delivered by Cambridge University until most recent discoveries FR. purpose is identify proficient algorithms, existing gap literature. research builds a FR application based simplicity efficiency code facilitates person’s using real time photo validate access querying given database. paper brings contribution throughout review analysis as well customized Phyton, ML Principal Component Analysis (PCA), AdaBoost MySQL for myriad application’s development variety domains.