REAL-TIME DEEPFAKE RECOGNITION
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Deepfake technology has grown rapidly with the advancement of artificial intelligence and deep learning techniques, enabling the creation of highly realistic manipulated images and videos that are often difficult to distinguish from genuine content. While this technology has useful applications in media and entertainment, its misuse has raised serious concerns in areas such as identity verification, digital communication, and financial transactions. The increasing spread of fake videos across social media platforms has led to misinformation, identity fraud, and cyber security risks. Traditional verification methods are often slow and unreliable, especially when dealing with large volumes of digital content. Therefore, the development of an automated and efficient real-time detection system has become essential to ensure digital trust and security. This project presents a Real-Time Deepfake Recognition System designed to detect manipulated facial content using computer vision and deep learning techniques. The system captures screen content, detects human faces using OpenCV Haar Cascade classifiers, and classifies the detected faces using a Vision Transformer (ViT) model to determine whether the face is real or fake. To improve reliability, temporal smoothing techniques and a confidence threshold are applied to produce stable and accurate results. The final output is displayed visually with bounding boxes and labels indicating the classification result. By enabling fast and reliable detection of fake facial content, the proposed system enhances digital security and supports applications such as digital banking verification, online examinations, remote interviews, and identity authentication systems.
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Sri.S, T. (2026). Real-Time Deepfake Recognition. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.055
Sri.S, Thivya. "Real-Time Deepfake Recognition." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.055.
Sri.S, Thivya. "Real-Time Deepfake Recognition." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.055.
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