Camera-Based Object State Detection for Proactive Vulnerability Alerts
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Solution Overview
Problem
Existing premises monitoring systems require expensive, custom sensors and do not effectively alert homeowners to potential vulnerabilities before a compromise occurs, especially when there is occlusion or obscuring of objects of interest.
Innovation Solution
A camera system that identifies and tracks objects of interest within its field of view, determines regions of interest based on motion frequency, and provides notifications when predefined thresholds are met, using machine-learning techniques to distinguish between different states of objects like open or closed doors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If expensive custom sensors are used to detect premises compromise, then detection reliability is improved, but device cost and installation complexity increase
Solution Approach 1:
The patent replaces specialized mechanical sensors (door sensors, window sensors) with a camera-based visual detection system. The camera captures images and uses image processing to detect the state of doors, windows, and other entry points, eliminating the need for separate mechanical sensors and their complex installation.
Solution Approach 2:
The camera system serves multiple functions: it detects premises compromise, monitors object states (open/closed doors and windows), and provides continuous surveillance. This multi-functional approach replaces multiple specialized sensors with a single device, reducing installation complexity while maintaining detection reliability.
2Reliability
If traditional monitoring systems are used, then intrusion detection is achieved, but early vulnerability alerting capability is lost
Solution Approach 1:
The system performs preliminary detection of vulnerability states by continuously monitoring and analyzing the visual state of entry points. It can identify when a door or window is left open or improperly secured before an actual intrusion occurs, allowing homeowners to take preventive action and avoiding the need to wait for an intrusion event.
Solution Approach 2:
The system provides continuous feedback about the state of monitored objects to the user. By analyzing image data and comparing it against known vulnerable states, the system alerts users to potential security issues in real-time, enabling proactive response rather than reactive response after an intrusion has occurred.
3Device complexity
If manual camera monitoring is used to detect vulnerabilities, then system cost is reduced, but detection precision and responsiveness deteriorate
Solution Approach 1:
The camera system performs automated analysis of visual data to detect vulnerable states of doors, windows, and entry points. The system independently processes images, identifies object states, and generates alerts without requiring manual review, thereby maintaining low system cost while achieving high detection precision through automated image processing algorithms.
4Reliability
If existing sensor systems are deployed, then intrusion detection is achieved, but performance under occlusion conditions deteriorates
Solution Approach 1:
The camera system captures two-dimensional visual information that provides contextual awareness of the monitoring environment. By analyzing the spatial relationships and visual context in the captured images, the system can detect entry point states even when partially occluded, using surrounding visual cues to infer the state of obscured objects.
Data Source
AI summary
A camera system may automatically identify regions/objects of interest in a field of view of the camera system. Analysis of motion events or other changes associated with the region or object of interest may be performed. Based on the motion events or other changes associated with the region or object of interest, an object state may be determined.