Video Analytics Module for Emergency Exit Blockage Detection
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Solution Overview
Problem
Existing video surveillance systems lack effective methods to identify and notify users of blockages in emergency exits and escape routes within buildings, which is crucial for ensuring safety during emergencies.
Innovation Solution
A video surveillance system equipped with a video analytics module that uses stereoscopic video cameras to capture and analyze video streams, defining regions of interest around emergency exits and detecting stationary objects blocking these areas, and notifies users via mobile devices with real-time alerts and images of the blockage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video surveillance systems use traditional monitoring methods, then system complexity is reduced, but the ability to detect blockages in emergency exits is insufficient
Solution Approach 1:
The patent introduces a video analytics module as an intermediary component between the video camera and the monitoring system. This module automatically analyzes video feeds to detect blockages in emergency exits, transforming raw video data into actionable alerts without requiring complex manual monitoring procedures. The intermediary module handles the complexity of blockage detection internally while presenting a simple alert-based interface to users.
Solution Approach 2:
The video analytics module performs self-service by automatically detecting blockages and generating notifications without human intervention. The system autonomously processes video streams, identifies obstructions in emergency exits, and sends alerts to appropriate personnel, eliminating the need for continuous manual surveillance while maintaining high detection reliability.
2Reliability
If video surveillance systems implement real-time blockage detection, then safety monitoring is improved, but response time requirements increase system demands
Solution Approach 1:
The video analytics module operates continuously, processing video feeds in real-time without interruption. This continuous monitoring ensures that blockages are detected immediately upon occurrence, maintaining constant safety surveillance. The system processes every frame of the video stream, ensuring no blockage event goes undetected, thereby eliminating notification delays while maintaining reliable safety monitoring.
3Measurement precision
If video surveillance systems use stereoscopic cameras and video analytics, then blockage detection precision is improved, but device complexity increases
Solution Approach 1:
The patent employs stereoscopic video cameras that capture video feeds from multiple dimensions or angles. By utilizing depth information and spatial relationships from multi-dimensional video data, the system achieves precise blockage detection. The video analytics module processes these multi-dimensional feeds to accurately identify obstructions, leveraging dimensional information to enhance detection precision while managing the complexity through specialized analytics algorithms.
Data Source
AI summary
Methods and systems for monitoring blockages of emergency escape routes and emergency exits of a building include capturing a plurality of images which may correspond to an emergency escape route and/or an emergency exit of a building. The plurality of images may be analyzed to determine when a stationary object is present and at least partially blocking the emergency escape route and/or the emergency exit. If a blockage is detected, a user may be notified of the blockage.