Self-Service Terminal Face Region Extraction
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Solution Overview
Problem
Self-service terminals face challenges in confirming user interactions due to high storage requirements and the need for unambiguous user identification, often resulting in unclear or unrecognizable images that cannot be reliably verified.
Innovation Solution
A self-service terminal equipped with an imaging device, processor, and storage device that captures digital images, extracts and stores only the image region containing a person's face, and communicates this reduced data set to an external server, ensuring efficient storage and recognition criteria are met.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete digital images are stored to enable user identification, then user verification reliability is improved, but data storage requirements increase
Solution Approach 1:
The patent extracts and stores only the face region from complete digital images. The processing unit identifies and extracts the face area, storing only this critical portion in the storage unit. This extraction principle resolves the contradiction by retaining only the essential data needed for user verification while eliminating unnecessary image data, thereby maintaining reliability while reducing storage requirements.
Solution Approach 2:
The patent segments the complete digital image into distinct regions, specifically isolating the face area from the rest of the image. By dividing the image data and storing only the relevant face segment, the system achieves reliable user identification without the burden of storing entire images, thus resolving the storage capacity contradiction.
2Measurement precision
If complete digital images are communicated to external servers for verification, then user identification accuracy is improved, but data communication requirements increase
Solution Approach 1:
The patent extracts only the face region from complete digital images before communicating to external servers. The processing unit identifies and extracts the face area, transmitting only this essential portion through the communication unit. This extraction principle resolves the contradiction by maintaining identification accuracy while minimizing data communication requirements.
3Quantity of substance
If individual images are stored to reduce storage capacity usage, then storage efficiency is improved, but user recognizability deteriorates
Solution Approach 1:
The patent extracts the face region from individual images and stores only this extracted portion. By storing the extracted face area rather than complete individual images, the system achieves both storage efficiency and user recognizability. The extraction ensures that the essential identifying feature (face) is preserved while minimizing storage requirements.
Solution Approach 2:
The patent applies local quality by storing only the face region with high quality and detail, while eliminating the need to store other lower-priority image areas. This principle resolves the contradiction by concentrating storage resources on the critical face area that ensures user recognizability, rather than distributing storage across entire images.
Data Source
AI summary
A self-service terminal (100) and a method (300, 600) for operating a self-service terminal are disclosed, wherein the self-service terminal (100) comprises: an imaging device (102), configured for providing at least one digital image (104); at least one processor (110), configured for: determining whether the at least one digital image (104) comprises a face of a person; if the at least one digital image (104) comprises the face of the person, cutting out from the at least one digital image (104) an image region which comprises the face of the person; and a storage device (108), configured for storing the image region.