Key Benefits
- Improved Security
- Enhanced Media Integrity
- Educational Value
Key Technologies Used
- Face and Head Pose Estimation
- Spectral & Waveform Analysis
- Deep Neural Networks
Project Background & Description
In recent years, deepfake technology has rapidly evolved, offering creative possibilities in entertainment, advertising, and education, but also posing serious threats to privacy, security, and public trust. Deepfakes, powered by artificial intelligence (AI), generate convincing fake images, videos, or audio, which can be exploited for misinformation, identity theft, and defamation.
To counteract these risks and ensure the authenticity of digital media, it is crucial to develop effective detection methods. Our project tackles this challenge by providing a comprehensive deepfake detection system that leverages cutting-edge techniques in Blood Flow Signal Processing, Visual Pattern Analysis, and Audio Detection. By combining these methods, we have created a robust and reliable framework capable of identifying manipulated media and ensuring the integrity of digital content in an increasingly deceptive digital landscape.
Project Team Members
Chermaine Lee Si Ying
Flanders Ee Liangkang
Jovan Chua Rui Cheng
Peh Yong Zheng
Supervisor
Jet Lim (Mr)
Industry Partner
CSIT