Facial Image Enrollment via Security Gesture
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Solution Overview
Problem
Existing facial recognition systems require manual enrollment procedures for new individuals and can produce false negatives in age verification, leading to repeated interventions by authorized personnel.
Innovation Solution
A method that allows an authorized individual to enroll a new person into a facial image database by performing a security gesture or providing an audio prompt, along with the option to include personal details like name and age, enabling automatic addition of the new individual's image to the database.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual enrollment procedure is used for new individuals, then security control is maintained, but time consumption and operational complexity increase
Solution Approach 1:
The system captures facial images of new individuals in advance during casual encounters, before formal enrollment is needed. The authorized user's device stores these images locally, so when formal enrollment is required, the process is already complete or near-complete, eliminating time-consuming manual procedures while maintaining security through authorized user verification.
Solution Approach 2:
The system enables authorized users to perform enrollment operations independently using their mobile devices. The authorized user can initiate enrollment, provide security gestures, and complete the process without requiring system administrators or security personnel to manually intervene, thus reducing operational complexity and time consumption while maintaining security controls.
2Measurement precision
If formal photographing procedure is required for database enrollment, then accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system uses standard mobile device cameras and processors that already exist in authorized users' devices, rather than requiring specialized photographing equipment. The mobile device's camera and computing resources are repurposed for facial image capture and processing, eliminating the need for complex dedicated enrollment equipment while maintaining sufficient image quality for recognition purposes.
Solution Approach 2:
The system replaces complex manual photographing procedures with automated image capture and processing using mobile device software. The processor automatically captures, processes, and stores facial images based on simple user actions, eliminating the need for complex mechanical photographing equipment and reducing operational difficulty while maintaining image quality.
3Measurement precision
If age verification system requires documentary proof inspection, then verification accuracy is improved, but repeated interventions by staff are required
Solution Approach 1:
The system captures and stores facial images of individuals during initial interactions, creating a reference database in advance. When age verification is needed later, the system compares current facial images against stored references and applies age estimation algorithms, eliminating the need for repeated documentary proof inspection by staff while maintaining verification accuracy through consistent biometric comparison.
4Speed
If automated facial recognition is used, then processing speed is improved, but false negatives in age verification occur
Solution Approach 1:
The system implements a feedback mechanism where age verification results are continuously monitored and refined. When automated recognition provides results, they are validated against additional criteria and historical data, allowing the system to learn from false negatives and improve accuracy over time while maintaining fast processing speeds through the primary automated pathway.
Data Source
AI summary
A method of entering a facial image of an individual into a database of recognised and authorised individuals, the method comprising the steps of: receiving, from an image capture device connected to a database processing device, an image of a scene; determining whether the image of the scene contains a facial image of a recognised and authorised first individual; determining whether the image of the scene contains a facial image of a second individual and, if the image of the scene contains a facial image of a second individual, determine if the second individual is a recognised and authorised individual; if the second individual is not a recognised and authorised individual, determine whether the image of the scene includes a security gesture by the recognised and authorised first individual; and entering the facial image of the second individual to the database of recognised and authorised individuals if the image of the scene includes the security gesture by the recognised and authorised first individual.