Integrating Facial Recognition and Augmented Reality in E-Commerce for Enhanced Personalization and Security

The rapid development of e commerce has resulted in a marked increase in the demand for captivating and personalized services. Augmented Reality (AR) and perception technology have now become revolutionary methods for transforming customer interaction with security and personalization. This research investigates the use of virtual tools powered by AR and automation through the application of Convolutional Neural Networks (CNN) face recognition in order to capture users' interest, which in turn optimizes the process of shopping online. The study captures all recognition procedures using the Face Oracle database by applying sophisticated deep learning algorithms with CNN, which guarantees reliable verification and tailored item offers, “said the author.” Moreover, AR can improve the immersion of the user experience by allowing customers to try on products virtually and eliminating the distinction between online and physical stores. There are still barriers to overcome such as privacy, data scarcity, and practical applicability but the results have great potential. This paper proposes a thorough methodology on the integration of humans with AI using AR for the development of an interactive environment for e commerce trading and highly participatory space.