MUMBAI, India, Feb. 6 -- Intellectual Property India has published a patent application (202641007162 A) filed by Vignans Foundation For Science, Technology and Research, Tenali, Andhra Pradesh, on Jan. 24, for 'a privacy-preserving face anonymization system using generative adversarial networks.'
Inventor(s) include Ds Bhupal Naik; Sajja Radharani; Jukuntla Amar; and Deevi Radha Rani.
The application for the patent was published on Feb. 6, under issue no. 06/2026.
According to the abstract released by the Intellectual Property India: "As Computer Vision technology is getting advanced day by day, users are also captivated to use every technology for their routine. Generally, we use technology for having task done in a limited and appropriate time without keeping much effort. But there is an increasing concern of privacy in the society. Its everyone's responsibility to have privacy from illegal technocrats. Usually, we use cameras or video recorders to get protected from illegal activities in public areas. It is high essential for not only get protected but also to have concern about their own privacy. In order to figure out the above concern we have proposed and developed a prototype i.e., Face Anonymization based on Generative Adversarial Networks. This keeps track of anonymized faces from original or real faces. In this invention we have defined different versions of Generative Adversarial Networks which are used to anonymize faces and also different from previous methods such as blurring, masking, etc. We have used a high-quality dataset which were aligned, scaled and centred faces. We have compared the results of each method and used evaluation of the quality."
Disclaimer: Curated by HT Syndication.
