Intellectual Property India Publishes Patent Application for System And Method For Construction Inventory Monitoring, Material Identification And Inventory Estimation Using Two-Dimensional Image Data

MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075209 A) filed by Udhaya Kumar T; Indian Institute Of Information Technology, Kottayam; Dr. Asha Sebastian; Dr. Jayadurgalakshmi. M; Mrs. Vanitha R; Mr. Singa Sudheer Kumar; and Mr. Maddu Bai Gari Ummar Basha on June 17, 2026, for System And Method For Construction Inventory Monitoring, Material Identification And Inventory Estimation Using Two-Dimensional Image Data.

Inventors include Udhaya Kumar T; Dr. Asha Sebastian; Dr. Jayadurgalakshmi. M; Mrs. Vanitha R; Mr. Singa Sudheer Kumar; and Mr. Maddu Bai Gari Ummar Basha.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: The invention comprises an image acquisition module (102) configured to capture digital images of construction materials using site-deployed cameras, mobile devices, surveillance cameras, or drone-mounted cameras; a material characterization engine (104) configured to process acquired image information and generate material classification and inventory representation data; an inventory validation module (106) configured to distinguish valid inventory formations from surrounding site structures; an inventory estimation module (108) configured to determine inventory count, volume, and material-specific inventory parameters from image-derived characteristics; a multi-view inventory reconciliation module (110) configured to consolidate inventory information obtained from multiple image acquisition viewpoints and suppress duplicate inventory observations; an inventory analytics module (112) configured to generate inventory monitoring metrics, stock availability indicators, and depletion conditions; and a reporting and control interface module (114) configured to provide real-time inventory visibility, replenishment notifications, procurement recommendations, and inventory management outputs. The system converts two-dimensional image information into quantitative inventory intelligence without requiring dedicated depth sensors, LiDAR scanners, RFID infrastructure, or three-dimensional reconstruction systems, thereby enabling automated inventory monitoring, improved inventory estimation accuracy, reduced infrastructure dependency, and real-time construction supply-chain management

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