Dates: 2024
Principal Investigator: Dr. Shujaat Khan
Description:  The proposed research aims to contribute to Saudi Vision 2030 by pioneering an innovative approach to face anti-spoofing using deep learning techniques. Over 10 months, the project will focus on leveraging temporal depth information in video sequences to enhance model accuracy, a facet previously underexplored in anti-spoofing. Addressing the evolving threat landscape in the digital age, the research aligns with the Vision's goal of technological advancement and a secure digital environment. By embracing temporal cues overlooked in traditional methods, the proposed model aims to discern genuine users from spoofing attempts with unprecedented accuracy, as evidenced by promising preliminary results. This research directly addresses the critical need for robust identity verification systems in an increasingly digitized world, offering a defense against spoofing attacks and instilling confidence in online interactions.