MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024528 A) filed by Chilakapati Anil Kumar, Vijayawada, Andhra Pradesh, on March 2, for 'computer-implemented method for automated assessment and classification of vernacular architectural features using image processing and principal component-based feature analysis.'
Inventor(s) include Dr. Venkata Krishna Kumar Sadhu; Prof. Dr Ramesh Srikonda; and Ar Tadiboina Samantha Kumar.
The application for the patent was published on March 13, under issue no. 11/2026.
According to the abstract released by the Intellectual Property India: "A computer-implemented method for automated assessment and classification of vernacular architectural features using image processing and Principal Component-Based Feature Analysis. The method processes digital images of vernacular structures to detect architectural features corresponding to ten principal vernacular components: Plan, Openings, Roofing, Flooring, Columns/Beams, Mouldings, Outside Seating/Arugu, Manduva, Walls, and Open Space. The system employs edge detection, texture analysis, and pattern recognition algorithms to extract features, compares them with a database of reference vernacular characteristics derived from sociometric research, and generates an assessment score and transformation index. The output includes an assessment report with preservation recommendations and a transformation mapping visualization. The invention provides an objective, standardized tool for heritage conservation, urban planning, and architectural research, enabling large-scale evaluation of vernacular architecture with consistent, reproducible results."
Disclaimer: Curated by HT Syndication.
