Closure Status Monitoring Using Image Recognition Alerts
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Solution Overview
Problem
Existing access control systems in facilities like self-storage units are vulnerable to security risks when closure devices are left open, allowing unauthorized access and potential theft.
Innovation Solution
An image recognition system, potentially mounted on stationary cameras or drones, detects the status of closure devices and verifies the presence of authorized users using biometric or credential identification, issuing alerts if an authorized user is not present when the device is ajar.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If surveillance cameras and access control features are implemented, then security monitoring capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical surveillance systems with image recognition technology using mobile devices. Instead of installing extensive camera networks and access control infrastructure, the system uses smartphone cameras and automated image processing to detect closure device status, substituting mechanical surveillance with optical recognition and computational analysis.
Solution Approach 2:
The system enables self-service monitoring where the mobile device's camera and processing capabilities are utilized instead of requiring dedicated surveillance infrastructure. The closure device status is detected automatically through image analysis, and alerts are generated without human intervention, making the monitoring system self-sufficient and reducing overall system complexity.
2Ease of operation
If closure devices are left open for extended periods, then ease of operation is improved, but security reliability deteriorates
Solution Approach 1:
The system implements feedback by continuously monitoring closure device status through image recognition and providing real-time alerts when unauthorized opening occurs. The mobile device captures images, analyzes closure status, and notifies authorized users immediately, creating a closed-loop feedback system that maintains security while allowing operational flexibility.
Solution Approach 2:
The system performs preliminary verification by analyzing images to determine closure device status before security incidents can occur. By detecting open/closed states in advance and issuing alerts proactively, the system prevents unauthorized access rather than reacting after breaches occur, maintaining security reliability while allowing legitimate operational needs.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances security by ensuring only authorized users have access to secured areas, reducing the risk of theft and unauthorized entry when closure devices are left open.
Implementation Method 1
An image recognition system can detect a closed status and an ajar status for a closure device
Implementation Method 2
verifies the presence of authorized users using biometric or credential identification
Data Source
AI summary
Embodiments of the present disclosure establish a premises monitoring system including an image recognition system that can detect a closed status and an ajar status for a closure device at a premises. The detection can be, for example, by a suitable camera which may be mounted in a stationary position or in a moving position, such as on a drone, for example. The image recognition system is in communication with a remote system such as a premises management system. The remote system can determine, based on images captured by the image recognition system whether an authorized user associated with the closure device is present on the premises. If an authorized user is determined not to be present on the premises, an alert can be issued.