Automatic Video Surveillance System for Efficient Multi-Region Monitoring
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Solution Overview
Problem
Human operators of video surveillance systems face fatigue and inefficiency in continuously monitoring large areas and detecting features of interest, as they must constantly redirect and focus cameras, leading to potential missed alerts due to prolonged attention demands and complex scene analysis.
Innovation Solution
An automatic surveillance system that receives data on regions of interest and object characteristics, automatically points the camera to scan these areas, detects features using video motion detection and image processing, and issues alerts, optimizing the viewing order to efficiently cover multiple regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a human operator manually operates the video camera to monitor large areas, then the operator can identify and focus on features of interest, but the operator experiences fatigue and inefficiency due to prolonged attention demands and constant camera redirection
Solution Approach 1:
The system enables automated self-monitoring through computer vision algorithms that automatically detect, track, and analyze features of interest without human intervention. The automated system processes video feeds, identifies objects matching defined criteria, and generates alerts, allowing the surveillance system to serve itself rather than requiring continuous human operation.
Solution Approach 2:
The patent replaces the mechanical human operator system with an automated computer vision system. Instead of human eyes and manual camera control, the system uses image processing algorithms, object detection models, and automated camera positioning to perform monitoring tasks, substituting biological and mechanical human operations with computational automation.
2Area of stationary object
If the monitored area is substantially larger than the video camera field of view, then comprehensive coverage is achieved through camera redirection, but time is lost in constantly searching and verifying scenes
Solution Approach 1:
The system implements feedback loops where detection results from one scene automatically inform camera positioning for the next scene. When an object of interest is detected, the system provides feedback to adjust camera orientation to maintain focus on that object or to efficiently transition to related areas, eliminating random or manual search patterns and reducing verification time through intelligent navigation based on detection outcomes.
3Ease of operation
If automated systems are used for video camera pointing, then operator fatigue is reduced, but simple repetitive motions result in inefficient coverage of monitored areas
Solution Approach 1:
The system transitions from static, pre-programmed camera paths to dynamic, adaptive camera control. The automated system continuously adjusts camera positioning based on real-time detection results, object movement patterns, and priority criteria. This dynamic adaptation allows the system to respond to changing conditions and optimize coverage efficiency based on actual surveillance needs rather than following fixed repetitive patterns.
Solution Approach 2:
The system dynamically changes operational parameters such as camera pan/tilt angles, scan speed, and focus points based on detection outcomes and priority assessments. Instead of maintaining constant motion patterns, the system adjusts parameters like scanning velocity,停留 time at each scene, and camera orientation to optimize both automation performance and coverage efficiency based on real-time conditions.
Data Source
AI summary
Apparatus and method for automatic surveillance of a monitored area having one or more regions of interest using a video imaging device are disclosed. The method includes receiving data defining said one or more regions of interest and one or more characteristics of an object of interest; pointing the line of sight of the imaging device at a region of interest selected from said one or more regions of interest; automatically scanning the selected region of interest to detect said one or more characteristics of the object of interest and upon detection issuing an alert; and when said one or more regions of interest includes more than one region of interest, repeating the steps of pointing the line of sight of the imaging device and automatically scanning in a predetermined order of viewing of the regions of interest, and upon detection of said one or more characteristics of the object of interest issuing an alert, for each of the regions of interests.