MUMBAI, India, Sept. 14 -- Intellectual Property India has published a patent application (202611086849 A) filed by Suresh Gyan Vihar University on July 16, 2026, for A Machine Learning-Based Device For Intelligent Industrial Inventory Tracking And Management.
Inventors include Dr. Sohit Agarwal; and Dr. Arastu Sharma.
The application for the patent was published on September 11, 2026, under issue no. 37/2026.
Abstract: The invention relates to a machine learning-based device for intelligent industrial inventory tracking and management. The device combines sensing, local inference, inventory registration, alert generation, and communication functions to identify items, estimate quantity, detect abnormal placement, and recommend replenishment actions. Sensor inputs from vision, identification, weight, and contextual sources are fused to produce confidence-based inventory events. The device supports edge operation near industrial racks, bins, cabinets, and production areas, enabling timely supervision of materials, tools, consumables, and finished goods with reduced manual counting effort.
Disclaimer: Curated by HT Syndication.
