Activity Analysis Processor for Video Surveillance Event Correlation
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Solution Overview
Problem
Existing security systems for large areas, such as airports, face difficulties in effectively correlating and managing numerous security events due to their complexity and the need for improved supervision methods.
Innovation Solution
A security system that includes sensors, cameras, and processing apparatuses to detect and record events, generate alerts, and save summaries in an event file, with an activity analysis processor that monitors deviations, trends, and criticality, and uploads summaries to a cloud server for real-time analysis and reporting, allowing for efficient event correlation and supervision through a user interface on portable devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the number of cameras is increased to cover large areas, then the coverage area is improved, but the difficulty of supervising and correlating security events increases
Solution Approach 1:
The patent introduces an activity analysis processor as an intermediary component that automatically analyzes camera feeds, detects activities, and generates activity reports. This intermediary system bridges the gap between numerous cameras and the limited human supervision capacity, enabling effective monitoring of large areas without proportionally increasing supervisory complexity
Solution Approach 2:
The patent replaces manual supervision of multiple cameras with an automated computer-based activity analysis system. The processor automatically detects activities, correlates events, and generates reports, substituting the mechanical/manual process of human monitoring with an automated electronic system that can handle large numbers of cameras efficiently
2Measurement precision
If manual monitoring of each camera is used, then detailed observation is improved, but the time and resources required for supervision increase
Solution Approach 1:
The activity analysis processor performs self-service by automatically analyzing camera feeds, detecting activities, and generating reports without requiring continuous human intervention. The system serves itself by autonomously correlating events and identifying significant activities, freeing up supervisor time while maintaining detection accuracy
Solution Approach 2:
The system enables continuous analysis of all camera feeds simultaneously through automated processing, whereas manual monitoring would require sequential viewing. The processor maintains continuous surveillance of all cameras, ensuring no events are missed while eliminating the time loss associated with switching between cameras
3Adaptability or versatility
If automated activity analysis is implemented, then event correlation capability is improved, but the system complexity increases
Solution Approach 1:
The activity analysis processor is designed as a universal system that can analyze multiple types of security events from various camera sources using the same core methodology. The system correlates different types of activities (motion detection, object recognition, behavioral patterns) through a unified analysis framework, improving event correlation capability without proportionally increasing system complexity
Data Source
AI summary
A method and apparatus are provided, wherein the method includes the steps of an activity analysis processor monitoring activities of a security system protecting a secured area and a human operator of the security system and evaluating the activities, the activity analysis processor detecting an event and saving a summary of the event to a cloud server, a user interface of the cloud server detecting a request from a user for an activity report, the cloud server downloading the activity report to the user, the activity report including playback features controlling playback of the summary, the playback features including a provision to accept requests from the user for additional data, and the playback features downloading and displaying the additional data in response to the requests from the user for the additional data.