MUMBAI, India, March 13 -- Intellectual Property India has published a patent application (202641024467 A) filed by Chilakapati Anil Kumar, Vijayawada, Andhra Pradesh, on March 2, for 'a predictive spatial analytics method for correlating visual accessibility with green space usage frequency in residential layouts.'
Inventor(s) include Dr Prashanti Rao.
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 predictive method for modeling green space usage frequency is disclosed. The method calculates a composite visual accessibility score for a green space by performing a geometric viewshed analysis on a 3D digital model of a residential layout, factoring in visibility from dwelling unit windows and balconies. This score is input into a pre-calibrated predictive model-trained on empirical data linking visual accessibility to observed usage frequency-to generate a forecasted usage level for the green space. The method further produces spatial diagnostic visualizations, such as visibility heat maps, and supports iterative design analysis. It enables architects and planners to proactively evaluate and optimize green space designs for anticipated user engagement, moving beyond compliance-based area metrics to performance-driven predictive analytics."
Disclaimer: Curated by HT Syndication.
