Automated Surveillance System with Geospatial Event Profiling

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Solution Overview

Problem

Current surveillance systems require manual monitoring by operators to identify incidents and respond to events, which can be inefficient and prone to delays, especially when dealing with multiple feeds from diverse sources such as video, audio, and environmental sensors.

Innovation Solution

An automated surveillance system that processes multiple feeds with geospatial tags, using a profiling engine to detect and classify events, a response module to determine reactions, and a dispatch module to coordinate responses, including prioritization and resource allocation based on proximity and availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If manual monitoring by operators is used to identify incidents and respond to events, then the system can handle diverse surveillance feeds (video, audio, environmental sensors), but the response time is delayed and efficiency is reduced

Engineering Contradiction:

Improvecapability to handle diverse surveillance feedsVSAvoidresponse efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The surveillance system performs self-service through automated event detection and classification. The profiling engine automatically analyzes surveillance feeds, detects characteristics indicating categorized events, and classifies them without requiring manual operator intervention for each feed type, thereby maintaining versatility while improving response efficiency

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual operator monitoring with an automated computational system. The profiling engine and response module substitute human operators in detecting and classifying events across diverse surveillance feeds, eliminating the trade-off between handling multiple feed types and maintaining response efficiency

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If an individual operator monitors multiple surveillance feeds, then the system structure is simple, but the response time to incidents is delayed and accuracy is reduced

Engineering Contradiction:

Improvesystem structureVSAvoidresponse time

Core Design Contradiction:

Device complexityVSLoss of time

Solution Approach 1:

The system segments the monitoring function into distinct automated modules: the profiling engine for detecting and classifying events, the response module for determining reactions, and the dispatch module for coordinating responses. This segmentation enables parallel processing of multiple surveillance feeds simultaneously, reducing response time while maintaining manageable system complexity through modular architecture

Inventive Principle:

Principle #1Segmentation

3Productivity

If automated processing of multiple surveillance feeds is implemented, then response efficiency is improved, but the system complexity increases

Engineering Contradiction:

Improveresponse efficiencyVSAvoidsystem structure

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The profiling engine serves as a universal component that handles multiple types of surveillance feeds (video, audio, environmental sensors) through a single automated processing architecture. This multi-functional design improves response efficiency across diverse feed types while avoiding the need for separate complex systems for each feed type, thereby managing overall system complexity

Inventive Principle:

Principle #6Universality (Multi-functionality)

4Use of energy by moving object

If manual operator monitoring is used, then the system requires less computational resources, but the ability to detect and classify events accurately is reduced

Engineering Contradiction:

Improvecomputational resource consumptionVSAvoidevent detection and classification accuracy

Core Design Contradiction:

Use of energy by moving objectVSMeasurement precision

Solution Approach 1:

The system creates computational models or profiles of normal event characteristics and compares incoming surveillance data against these profiles. The profiling engine uses stored profiles to detect deviations and classify events accurately, achieving high detection precision while consuming computational resources efficiently through pattern matching rather than exhaustive analysis

Inventive Principle:

Principle #26Copying

Data Source

PatentUS9852342B2Surveillance system

Publication Date: 2017.12.26 IOMNISCIENT

AI summary

An automated surveillance system is disclosed in this specification. The system comprises a computing system arranged to receive a plurality of surveillance feeds from a surveillance network and detect characteristics of the surveillance feeds that are indicative of categorized events. Each of the surveillance feeds has a geospatial reference tag that identifies the origin of content contained within the feed. The surveillance system determines a response reaction to detected events and identifies potential response units in the vicinity of the surveillance location using the geospatial reference tag.