MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202641094775 A) filed by Sumathi D; Lynsha Helena Pratheeba H P; Rajeshwari R; Shilpa Shree B; Prem Kumar Ramesh; Apparsamy Perumal; and Cmr Institute Of Technology on August 05, 2026, for System And Method For Intelligent Gait-Based Detection Of Drunk Individuals Using Ai-Enabled Video Surveillance.
Inventors include Sumathi D; Lynsha Helena Pratheeba H P; Rajeshwari R; Shilpa Shree B; Prem Kumar Ramesh; and Apparsamy Perumal.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention discloses a system and method for intelligent gait-based detection of drunk individuals using AI-enabled video surveillance. The invention provides a non-contact, real-time behavioral analysis framework that utilizes surveillance cameras to monitor pedestrian movement and identify gait abnormalities associated with alcohol impairment. The system integrates computer vision techniques, including human detection, multi-object tracking, pose estimation, spatiotemporal gait feature extraction, and deep learning-based classification to analyze walking patterns without requiring wearable devices or user interaction. A confidence-based decision engine evaluates gait characteristics and generates risk scores to distinguish potentially impaired individuals from normal pedestrians while minimizing false alarms through adaptive environmental compensation and temporal analysis. Upon detecting a predefined risk threshold, the system securely transmits alerts and visual evidence to authorized personnel through a centralized monitoring dashboard for further assessment. The proposed invention enhances public safety by enabling continuous, automated, and privacy-aware surveillance in smart campuses, transportation hubs, industrial facilities, healthcare environments, and other public spaces. The invention serves as an intelligent decision-support system for early identification of potentially drunk individuals and facilitates timely intervention without performing medical diagnosis.
Disclaimer: Curated by HT Syndication.
