MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641086326 A) filed by Vallurupalli Nageswara Rao Vignana Jyothi Institute Of Engineering And Technology on July 14, 2026, for Ai-Driven Deepfake Detection Platform For Identifying Manipulated Digital Content.
Inventors include Dr. S. Nagini; K. Hari Priya; Dr. Karumuri Sri Rama Murthy; Enukonda Aravind; Gingade Akshay; Md Adnaan Ali; and Veesam Saikumar.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: Deep Fake detection leverages a diverse range of techniques, each with unique strengths and limitations. Artifact-based methods effectively detect visual flaws in high-resolution images but struggle with compressed or generalized content. Temporal and motion- based approaches are powerful for analyzing video frame consistency but are resource-intensive. Biological signal- based techniques offer strong resistance to fake replication by analyzing subtle physiological cues, though they are sensitive to video quality and environmental conditions. Identity and biometric-based methods provide robust detection by focusing on personal expression patterns but require complex, temporal data. Finally, statistical and signal-based methods offer interpretability and model-independence, though they often underperform against modern, high- quality forgeries. Overall, a hybrid or ensemble approach that combines multiple detection strategies may offer the best resilience against evolving deep Fake technologies.
Disclaimer: Curated by HT Syndication.
