MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202631067819 A) filed by Narula Institute Of Technology on May 29, 2026, for “queueless An Ai-Assisted Predictive Virtual Queue And Crowd Management System For Smart Public Service Environments”.
Inventors include Sharmistha Basu; Gaurab Majumder; Debasmita Sen; Bhumi Choudhary; Debasmita Das; Rajita Roy; Shikha Sinha; Vaishnavi Kumari; Navpreet Kaur; and Syed Shumas Kausar.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: Abstract The present invention discloses an AI-assisted predictive virtual queue and crowd management system, termed "QueueLess," configured to eliminate physical waiting lines and optimize public service environments. The system incorporates a distributed cloud computing architecture comprising a multi-channel User Interface Module, a Token Assignment Module, a Predictive Analytics Engine, a Crowd Monitoring Module, an Adaptive Notification Module, an Accessibility Prioritization Module, and an Administrator Dashboard. Users register remotely via mobile, web, kiosk, or SMS to secure a dynamic virtual token accompanied by an algorithmically calculated estimated wait time. The Predictive Analytics Engine continuously updates wait-time forecasts by processing real-time service speeds, staffing levels, and historical data via machine learning models. Simultaneously, spatial crowd monitoring generates density heat maps and safety threshold alerts to prevent physical congestion. The system ensures inclusive service flow through automated accessibility prioritization and supplies real-time telemetry to operators for adaptive resource allocation.
Disclaimer: Curated by HT Syndication.
