Palm Recognition Optics for Wide-Range User Identification
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Solution Overview
Problem
Existing user-identification methods in computing devices are cumbersome and require traditional forms of identification, such as ID cards or accessing personal devices, which increase friction in processes like automated checkout experiences.
Innovation Solution
A user-recognition system utilizing biometric techniques, specifically palm recognition, enables users to enroll and identify themselves through imaging devices, reducing the need for traditional identification methods by capturing and processing palm image data for accurate user identification and verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional identification methods (ID cards, personal devices) are used, then user identification can be performed, but the process becomes cumbersome and increases friction
Solution Approach 1:
The patent replaces mechanical/physical identification methods (ID cards, devices) with an optical biometric system that captures and processes palm vein patterns. The imaging device captures vein patterns through the palm, and software automatically identifies users based on these patterns, eliminating the need for physical identification artifacts and simplifying the user experience.
2Extent of automation
If biometric palm recognition is implemented, then user identification becomes seamless and automated, but the system requires imaging devices and processing infrastructure
Solution Approach 1:
The system enables self-service identification where users simply present their palm to the imaging device without requiring manual intervention. The automatic vein pattern capture and matching process eliminates the need for operators to manually verify identities, achieving seamless automated checkout and access control while keeping the user interface simple.
3Productivity
If traditional identification methods are used, then verification can be performed, but additional user interaction is required reducing checkout efficiency
Solution Approach 1:
The system performs preliminary action by capturing and storing palm vein patterns during an initial enrollment phase. During subsequent transactions, the pre-stored patterns are quickly matched against new scans, enabling rapid verification without requiring users to manually present identification or engage in time-consuming verification procedures at the point of sale.
Data Source
AI summary
This disclosure describes a user-recognition system configured to target a location of a palm of a user at a wide variety of distances without the need to illuminate and/or capture an entire field of view (FOV) at all times. The user-recognition system comprising a first sensor for capturing an image of the palm, a first mirror disposed with the first sensor, a projector disposed with the first mirror, and a second mirror disposed with the first mirror. The second mirror being displaceable and configured to reflect light, projected from the projector and reflected from the first mirror, in a direction toward the palm, and reflect received light, reflected from the palm to the first mirror and to the first sensor.


