MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202611068895 A) filed by Dr. Kanwar Varinder Pal Singh; and Mrs. Kulwant Kaur on May 30, 2026, for Synthetic Intelligence-Based Hybrid Hierarchical Modular Sparse Fuzzy Logic System For Phygital Garment Design.
Inventor includes Dr. Kanwar Varinder Pal Singh.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: A Hybrid Hierarchical Modular Sparse Fuzzy Logic framework for machine-integrated phygital garment engineering and manufacturing is disclosed. The framework reverse-generates technically feasible garment-production solutions from target garment- performance requirements by processing garment, textile, anthropometric, comfort, sustainability, machinery, accessory, and production inputs through the Garment Requirement Extraction Engine (11), Reverse Material-Process-Fit-Garment Engineering Module (10), Reverse Hierarchical Inference Orchestration Engine (186), and Membership Function Normalization Engine (149). Hierarchical sparse fuzzy inference, Bayesian uncertainty modelling, optimization-assisted reverse search, and machine-connectivity translation are performed through the Bayesian Uncertainty Quantification Layer (100), Optimization and Reverse Search Layer (110), and CAD/CAM/PLC/IoT Translation Interface (120) to generate fibre, yarn, fabric, dyeing, finishing, fit-validation, manufacturing, and machine-operable production recommendations. Physical validation, dimensional-stability analysis, compatibility scoring, and production-feasibility assessment are performed through the Finite Element and Physical Validation Engine (90) before generation of prototype, pilot-production, or bulk-manufacturing deployment recommendations.
Disclaimer: Curated by HT Syndication.
