Hierarchical Surveillance System with Intermediate Aggregation
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Solution Overview
Problem
Current surveillance systems face challenges in managing a large number of cameras efficiently, requiring numerous operators and relying heavily on human attention and analytical skills, with limitations in handling hundreds or thousands of cameras due to coordination problems and information overload.
Innovation Solution
A surveillance system with intermediate and local aggregation means that control and analyze video detectors, transmit images only on request, integrate non-video sensors for event detection, and allow dynamic configuration of links between aggregation levels, enabling efficient alarm generation and transmission, and reducing the burden on central operators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If a large number of cameras are connected to a central security station, then the surveillance coverage is improved, but the number of operators required increases and coordination problems arise
Solution Approach 1:
The system divides the large-scale surveillance network into hierarchical segments: central security station, regional control units, and local camera groups. Each segment handles a specific portion of the surveillance task, allowing cameras to be managed in distributed groups rather than as a single centralized load, thereby reducing operator coordination complexity while maintaining comprehensive coverage
Solution Approach 2:
Regional control units are introduced as intermediary components between the central security station and individual cameras. These intermediaries aggregate data from multiple cameras, perform preliminary analysis, and only transmit relevant information to the central station, reducing the information processing burden on operators and improving coordination efficiency
2Loss of information
If all camera images are transmitted to the central station, then complete monitoring capability is improved, but the amount of data to be processed increases and operators become overwhelmed
Solution Approach 1:
The system extracts and processes only the most relevant information from camera feeds at distributed levels. Local and regional units perform initial image analysis to identify events of interest, extracting only significant data (alarms, anomalies, key events) for transmission to the central station, thereby maintaining complete monitoring capability while reducing operator workload to processing only critical information
Solution Approach 2:
Image analysis and event detection are performed preliminarily at local and regional levels before data reaches the central station. Automated algorithms pre-process video streams to detect motion, identify objects, and filter normal activities, so that operators receive pre-analyzed data with only significant events requiring human attention, thus improving processing efficiency without losing monitoring capability
3Ease of manufacture
If image storage is done without metadata, then storage simplicity is improved, but searching and analysis capability deteriorates
Solution Approach 1:
The system implements a multi-functional storage architecture where images are stored with embedded metadata that serves multiple purposes: search indexing, event correlation, analysis filtering, and retrieval optimization. The metadata structure is designed to support various operations simultaneously without requiring separate storage systems, maintaining storage simplicity while enhancing searching and analysis capabilities through intelligent data organization
Data Source
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AI summary
The surveillance system comprises several video detectors (7, 9, 11 ) and central aggregation means (3) comprising means for controlling the video detectors and means for viewing and analysing images originating from one or more of the video detectors. It furthermore comprises intermediate aggregation means (5) connected to a subset of the video detectors, and to the central aggregation means and comprising merging means suitable for analysing the images of at least two video detectors of the subset of video detectors and for triggering an alarm to the central aggregation means as a function of the result of said analysis.