Morphed Image Detection Logic for Surveillance Access Control
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Solution Overview
Problem
Existing systems are ineffective in detecting morphed images on ID cards, which can lead to security risks by allowing unauthorized access to secure areas and fraudulent activities.
Innovation Solution
A system comprising multiple security kiosks and surveillance cameras that analyze facial images using image similarity and dissimilarity logic to identify potential morphed images, flagging them for access control devices to deny access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional facial image verification systems are used, then identity verification can be performed quickly and easily, but the system becomes vulnerable to morphed images and security breaches
Solution Approach 1:
The system performs preliminary detection of morphed images by comparing the presented facial image against multiple reference images in the database before allowing verification to proceed. This preliminary action identifies suspicious images that may be morphed compositions, preventing them from compromising system security while maintaining normal verification flow for genuine images.
Solution Approach 2:
The patent introduces an intermediary detection layer that acts as a mediator between the facial image capture and the verification decision. This intermediary component analyzes image characteristics and compares them against morphed image patterns, providing an additional security checkpoint without replacing the existing verification infrastructure.
2Measurement precision
If multiple reference images are stored and compared in the database, then the system can detect morphed images more accurately, but the database size and processing requirements increase
Solution Approach 1:
The system segments the database into multiple collections of reference images, where each collection contains images of a single individual. This segmentation allows the detection algorithm to efficiently compare the presented image against the appropriate reference set without processing the entire database, reducing computational overhead while maintaining detection accuracy through targeted comparisons.
3Measurement precision
If the system performs detailed image analysis to detect morphed images, then detection accuracy improves, but processing time increases
Solution Approach 1:
The system applies partial analysis by performing initial quick comparisons against reference images and only conducting more detailed morphed image detection analysis when suspicious patterns are detected. This approach processes most images rapidly through simplified pathways while applying comprehensive analysis only when necessary, maintaining both speed and accuracy.
Data Source
AI summary
Aspects of the present invention relate to machines, systems, and methods for detecting a morphed image on an ID card associated with a user. The invention may comprise a plurality of security kiosks, a user database, morphed image detection logic, surveillance cameras, a surveillance database, surveillance similarity logic, user identification logic, message logic, and detainment logic. The machines, systems, and methods may assist an operator in controlling access of an individual using an ID bearing a morphed image.