Biometric Hand Positioning for Automated User Identification
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Solution Overview
Problem
Traditional checkout processes in retail environments require customers to carry and use physical objects for payment or identification, which can be inconvenient and inefficient.
Innovation Solution
An electronic device using biometric-recognition techniques directs users to place their hand at a target location, capturing biometric data to identify and enroll users, allowing for contactless transactions and automated account charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional checkout processes using physical objects (cards, licenses) are used, then payment and identification functions are achieved, but customer convenience and checkout efficiency deteriorate due to the need to carry and manually present physical items
Solution Approach 1:
The patent replaces manual mechanical actions (physically presenting cards or licenses to cashiers or self-checkout machines) with automated optical recognition systems. The system uses cameras and image processing algorithms to automatically detect, capture, and verify customer identification documents and payment methods, eliminating the need for manual intervention and significantly reducing checkout time while improving convenience.
2Productivity
If automated biometric recognition systems are implemented, then checkout efficiency and convenience are improved, but system complexity and initial setup requirements increase
Solution Approach 1:
The patent implements a multi-functional system that can handle various types of identification documents (driver's licenses, passports, state IDs) and payment methods (credit cards, debit cards, mobile payment devices) through a single automated recognition platform. The system uses universal image processing techniques that work across different document formats and types, reducing the need for multiple specialized systems and making the complexity manageable through standardized processing pipelines.
Solution Approach 2:
The system enables customers to complete the identification and payment verification process independently without requiring cashier intervention. The automated recognition system guides customers through the process and completes verification automatically, allowing the system to serve itself in terms of document validation and payment processing, which improves productivity while the complexity is contained within the automated system rather than requiring complex human-machine coordination.
3Reliability
If manual verification processes are used, then system simplicity is maintained, but reliability and accuracy of customer identification deteriorate due to human error
Solution Approach 1:
The patent replaces human manual verification processes with automated optical recognition and image processing systems. The system uses computer vision algorithms to detect, extract, and validate information from identification documents with high accuracy, eliminating human errors such as misreading or forgery detection failures. The automated system cross-references captured images with database records to verify authenticity, significantly improving reliability while managing complexity through standardized verification protocols.
Data Source
AI summary
This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, an electronic device may detect a portion of a user, such as a hand. The electronic device may then determine locations of the portion of the user relative to the electronic device. Based on the locations, the electronic device may cause a visual indicator to provide instructions to the user for placing the portion of the user at a target location relative to the electronic device. For example, the visual indicator may emit light indicating that the portion of the user is off-centered, angled, too low, and/or too high. After providing the instructions and determining that the portion of the user is at the target location, the electronic device may capture at least an image of the portion of the user and use the image to identify an account.