MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202541047560 A) filed by Nri Institute Of Technology; Dr. Krishna Prakash; Nimmagadda Vatsalya Mitra; Nallamothu Pavan Kumar; and Manda Anji Babu on May 16, 2025, for Secure Online Voting System-Based On Facial Recognition Using Deep Learning.
Inventors include Dr. Krishna Prakash; Nimmagadda Vatsalya Mitra; Nallamothu Pavan Kumar; and Manda Anji Babu.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: ABSTRACT: Title: Secure Online Voting System-Based On Facial Recognition Using Deep Learning The present disclosure proposes a system (100) that enables secure and reliable online voting through deep learning-based facial recognition and blockchain integration. The system (100) is developed for enabling secure, transparent, and tamper-proof online voting by integrating advanced deep learning-based identity verification mechanisms with blockchain technology. The system (100) addresses critical challenges in electronic voting systems, including identity fraud, vote manipulation, lack of transparency, and voter mistrust. The system (100) maintains the transparency and immutability of voting records through blockchain technology, thereby preventing vote tampering and ensuring trust in election outcomes. The system (100) allows remote and accessible participation in elections, especially for individuals who are physically challenged, geographically distant, or affected by health-related restrictions.
Disclaimer: Curated by HT Syndication.
