Intellectual Property India Publishes Patent Application for “an Automated Crowd Density Monitoring And Smart Barricade Control System Using Computer Vision, Deep Learning And A Process Thereof”

MUMBAI, India, Aug. 12 -- Intellectual Property India has published a patent application (202611076978 A) filed by Abes Engineering College on June 22, 2026, for “an Automated Crowd Density Monitoring And Smart Barricade Control System Using Computer Vision, Deep Learning And A Process Thereof”.

Inventors include Dr. Shweta Roy; Dr. Sandhya Avasthi; Durgesh Singh Chauhan; Gagan Sharma; and Garima Agrawal.

The application for the patent was published on August 07, 2026, under issue no. 32/2026.

Abstract: The present invention relates to an automated crowd density monitoring and smart barricade control system employing computer vision, deep learning, and intelligent surveillance technologies for real-time crowd management. The system utilizes CCTV video feeds, YOLOv8-based pedestrian detection, centroid-based multi-object tracking, zone-wise density estimation, EWMA-based smoothing, and predictive congestion analysis to identify and manage crowd congestion in public environments. Upon exceeding predefined safety thresholds, the system automatically generates alerts and activates smart barricade mechanisms to regulate pedestrian flow and prevent overcrowding. The invention further comprises a real-time monitoring dashboard displaying crowd analytics, heatmaps, alert history, and barricade status.

Disclaimer: Curated by HT Syndication.