FACIAL RECOGNITION-BASED APPROACH FOR EFFICIENT PERSONAL INFORMATION RETRIEVAL IN CYBERSPACE

Abstract

The paper proposes an artificial intelligence system that can perform face searches on the Internet. Face search is the search for images or videos that contain a specific person’s face in cyberspace. The proposed system integrates four key components: the Data Collection Module, Data Storage Mechanism, Search Module, and Analysis Module. By integrating advanced deep learning models, the system achieves high precision and reliability in detecting and recognizing faces. Moreover, our system leverages advanced processing technologies such as parallel computing and optimization techniques to speed up the face search process and handle large-scale data. Experimental results demonstrate that the system achieves remarkable accuracy and efficiency in operation.