MUMBAI, India, July 7 -- Intellectual Property India has published a patent application (202641079370 A) filed by Cmr Engineering College on June 27, 2026, for Neural Network Based Image Data Authentication System For Digital Forensic Applications.
Inventors include Dr. S. Y. Mrutyunjaya; Mrs. Padakanti Bhargavi; Ms. J. Vaishnavi; Mrs. R. P Shanthi Rani; Mrs. T. Bhavya; Mrs. Nishma Bhaskarani; and Mrs. M. Prathima.
The application for the patent was published on July 03, 2026, under issue no. 27/2026.
Abstract: Abstract A image data authentication system is disclosed for use in a digital forensic processing environment used for evaluating authenticity of image evidence. The system comprises a processor, memory, a communication interface, an input acquisition module, a preprocessing module, an analysis engine, and an output control module. The communication interface receives digital image files, image metadata, compression traces, pixel-level feature maps, and forensic reference data. The preprocessing module validates and normalizes received input records before the analysis engine performs forensic image authentication using stored rules, profiles, policies, model parameters, or reference records. The output control module compares a generated decision value with a stored threshold or policy condition and generates image authenticity scores, tamper region indicators, forensic reports, and evidence storage records. The system stores an audit record linking source identity, validation state, decision value, and selected output action. The arrangement provides a controlled technical data path from input Fig. 1 Dated June 23, 2026 / Mungalpara Jigneshbhai Chhaganbhai IN/PA-2640 Agent for the Applicant
Disclaimer: Curated by HT Syndication.
