Visitor Appearance Model Verification for Property Access Control
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Solution Overview
Problem
Existing property monitoring systems lack effective methods to verify the identity and access control of visitors, particularly in ensuring that only authorized individuals access restricted areas and maintain accurate tracking of visitor movements within monitored properties.
Innovation Solution
A monitoring system that uses cameras to generate appearance models of visitors based on physical characteristics, comparing these models across different areas of a property to determine confidence scores, and performing actions such as generating alarms or notifications based on these scores to manage access and track visitor movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional access control methods are used, then access verification is simple, but identity verification accuracy is insufficient
Solution Approach 1:
The system segments the monitoring process into multiple stages: initial appearance model generation at entry points, continuous tracking through property areas, and confidence score calculation at restricted areas. This segmentation allows accurate identity verification without requiring a single complex verification system, thereby improving measurement precision while managing device complexity
Solution Approach 2:
The system performs preliminary action by generating appearance models of visitors at entry points before they access restricted areas. This preliminary identification enables the system to proactively monitor and verify visitor identities throughout the property, improving verification accuracy without compromising system complexity
2Reliability
If appearance-based monitoring is implemented throughout the property, then visitor tracking accuracy is improved, but system complexity increases
Solution Approach 1:
The system applies local quality by deploying appearance-based monitoring selectively in different property areas. Cameras at entry points generate appearance models, while cameras in restricted areas perform verification. This localized approach ensures reliable visitor tracking in critical areas without unnecessarily increasing system complexity throughout the entire property
Solution Approach 2:
The appearance model serves as an intermediary that carries visitor identity information from entry points to restricted areas. Instead of direct continuous video analysis throughout the property, the system uses these appearance model representations to enable reliable tracking while reducing computational complexity and resource requirements
3Area of stationary object
If multiple cameras are deployed for comprehensive monitoring, then coverage area is improved, but system cost and complexity increase
Solution Approach 1:
The system implements universality by using the same camera technology and appearance model generation process across all monitoring locations. Each camera performs similar functions (capturing images, generating or verifying appearance models), which simplifies system deployment and management while achieving comprehensive coverage across the property
Solution Approach 2:
The system transitions from traditional spatial deployment considerations to a temporal-dimensions approach. Rather than optimizing camera placement solely for spatial coverage, the system structures monitoring across temporal dimensions (entry point monitoring, in-property tracking, restricted area verification), enabling comprehensive coverage with a more manageable camera infrastructure
Data Source
AI summary
A computer implemented method, including receiving, by a monitoring system that is configured to monitor a property and from a first camera that is trained on a vicinity of an entry point of the property, first image data, determining that a visitor is located at the vicinity of the entry point of the property, generating, by the monitoring system, an appearance model of the visitor, receiving, by the monitoring system and from a second camera that is trained on an area of the property other than the vicinity of the entry point of the property, second image data, comparing, by the monitoring system, the second image data to the appearance model of the visitor, determining a confidence score that reflects a likelihood that the visitor is located at the area of the property other than the vicinity of the entry point, and performing a monitoring system action.