Intellectual Property India Publishes Patent Application for 'AI-Driven System And Method For Automated Detection And Analysis Of Trademark Infringement Using Machine Learning And Image Recognition Techniques' Filed by Dr. Rang Nath Singh; Dr. Amit Adlakha; Mr. Angad Chowdhary; Dr. Sudhir Kumar Dubey; Dr. Ashwani Kumar Gupta; and Mr. Devvrath Anand

MUMBAI, India, Jan. 9 -- Intellectual Property India has published a patent application (202511115549 A) filed by Dr. Rang Nath Singh; Dr. Amit Adlakha; Mr. Angad Chowdhary; Dr. Sudhir Kumar Dubey; Dr. Ashwani Kumar Gupta; and Mr. Devvrath Anand, Kashipur, Uttarakhand, on Nov. 22, 2025, for 'ai-driven system and method for automated detection and analysis of trademark infringement using machine learning and image recognition techniques.'

Inventor(s) include Dr. Rang Nath Singh; Dr. Amit Adlakha; Mr. Angad Chowdhary; Dr. Sudhir Kumar Dubey; Dr. Ashwani Kumar Gupta; and Mr. Devvrath Anand.

The application for the patent was published on Jan. 9, under issue no. 02/2026.

According to the abstract released by the Intellectual Property India: "The present invention relates to an AI-driven system and method for automated detection and analysis of trademark infringement. The system comprises a data acquisition module configured to collect image and text data related to trademarks from various online sources including e commerce platforms, social media, and trademark registries. A preprocessing unit cleanses and standardizes the collected data for further analysis. An AI engine, consisting of a convolutional neural network (CNNs) for visual comparison and a natural language processing (NLP) module for textual similarity detection, evaluates the input data against a database of registered trademarks. The engine calculates a similarity index based on image and text correlations to identify potential infringement cases.A decision layer classifies the likelihood of infringement into multiple levels, while an alert generation module produces automated notifications and visual reports for users. The system further incorporates a feedback learning module that continuously refines the model through user feedback, enhancing accuracy and reducing false positives. This invention provides a comprehensive, automated solution for early detection and prevention of trademark misuse using artificial intelligence and machine learning technologies."

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