Intellectual Property India Publishes Patent Application for A Cloud Computing–driven Federated Yolov8 Framework For Real-Time Medicinal Plant Disease Detection

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641074916 A) filed by Sasi Institute Of Technology & Engineering; P. Krishnamoorthy; S. Karthikeyan; M. Parthiban; and P. Sivakumar on June 17, 2026, for A Cloud Computing–driven Federated Yolov8 Framework For Real-Time Medicinal Plant Disease Detection.

Inventors include Sasi Institute Of Technology & Engineering; P. Krishnamoorthy; S. Karthikeyan; M. Parthiban; and P. Sivakumar.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: The invention provides the privacy-preserving suspicious follower detection framework based on federated multimodal deep learning (MMDL). The framework incorporates federated learning, multimodal analysis, and deep learning to identify suspicious follower accounts, while maintaining user privacy. The proposed system enhances suspicious account detection accuracy, scalability and security of social media.

Disclaimer: Curated by HT Syndication.