MUMBAI, India, Feb. 13 -- Intellectual Property India has published a patent application (202611000749 A) filed by Ct University, Ludhiana, Punjab, on Jan. 5, for 'system for identification, classification, and comparative analysis of traditional dresses across geographical regions.'
Inventor(s) include Dr. Satvir Singh; Dr. Mandeep Singh; Mr. Davinder Singh; and Dr. Simranjit Kaur.
The application for the patent was published on Feb. 13, under issue no. 07/2026.
According to the abstract released by the Intellectual Property India: "The present invention is an artificial intelligence-based system and method for identifying, categorizing, and comparing traditional clothing from different geographical areas. The system analyzes visual and stylistic elements such fabric type, weaving technique, embroidery, color palette, draping style, and accessories using computer vision, textile pattern recognition, deep learning, and cultural metadata modeling. A geocultural knowledge base that links clothing to particular regions, sub-regions, and cultural histories is created by mapping extracted features. The invention allows for cross-cultural comparison, heritage preservation study, and authenticity certification, in contrast to traditional apparel recognition systems that are restricted to generic clothing categories. Through automated identification of deception and counterfeiting, the platform offers applications in fashion research, e-commerce product labeling, tourism promotion, education, and preservation of regionally specified textiles."
Disclaimer: Curated by HT Syndication.
