An Efficient System for Personal Information Search in Cyberspace Using Facial Recognition Technology

The paper presents an artificial intelligence (AI) system, MTAFaceSearch, which finds images or videos containing a specific person’s face among an extensive collection of online data. The proposed system integrates three main components: a Data Storage Mechanism, a Data Collection Module, and a Search Module. The system employs state-of-the-art deep learning models that can detect and recognize faces with high accuracy and robustness. The system also leverages advanced processing technologies such as parallel and cloud computing to speed up the face search process and handle large-scale data. The experiments show that our system achieves high accuracy and speed.