Palm Recognition System for Automated Checkout Identity Verification
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Solution Overview
Problem
Traditional checkout processes in retail and distribution settings require customers to carry and use physical objects for payment or identification, which can be inconvenient and may not be suitable for future cashierless or self-checkout environments.
Innovation Solution
A user-recognition system utilizing biometric techniques, such as palm recognition, allows users to enroll and identify themselves without physical objects, enabling automated charging of accounts by comparing palm feature data through a segmented, characteristic-based approach, reducing friction in the checkout experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional physical objects (cards, phones) are used for identification and payment, then reliability of identification is maintained, but ease of operation deteriorates due to the need to carry and manually present multiple physical items
Solution Approach 1:
The patent replaces manual mechanical actions of presenting physical cards or phones with automated optical sensing. Sensors capture images of the user's face or palm, and biometric algorithms automatically verify identity and authorize payment, eliminating the need for manual intervention while maintaining security through multiple verification steps
Solution Approach 2:
The system creates digital copies of biometric features (facial structure, palm vein patterns) and stores them as reference data. During transactions, real-time sensor data is compared against these stored digital copies to verify identity, replacing physical identification objects with their digital biometric equivalents
2Productivity
If biometric sensors are deployed for automated identification, then productivity of checkout process is improved, but device complexity increases due to integration of multiple sensor types and processing systems
Solution Approach 1:
The system employs multi-functional sensor units that can capture both facial images and palm vein patterns, serving multiple identification purposes with a single device. The same sensor infrastructure supports enrollment, verification, and transaction authorization functions, reducing overall system complexity despite enhanced capabilities
Solution Approach 2:
The patent introduces an intermediary processing layer that receives raw sensor data, performs initial validation and feature extraction, then passes processed information to verification algorithms. This intermediary layer simplifies the interface between diverse sensors and complex biometric matching systems, managing complexity through structured data transformation
3Loss of time
If physical identification objects are required, then measurement precision of user identity is maintained through verified physical items, but loss of time occurs due to the checkout process requiring manual presentation and verification of these objects
Solution Approach 1:
The system performs preliminary biometric data capture and verification during the enrollment phase, storing validated biometric templates for rapid comparison. During actual transactions, only real-time sensor capture and algorithmic matching are needed, eliminating manual object presentation while maintaining identification accuracy through pre-verified biometric references
Data Source
AI summary
Techniques for an identity-verification system to analyze image data representing palms of users using a segmented, characteristic-based approach. The system may compare palm-feature data representing characteristics of a palm of a user (or “query palm”) with stored palm-feature data of palms for user profiles (or “stored palms”). For instance, the system may identify characteristics of the query palm having salient or discriminative features, and compare palm-feature data for those discriminative characteristics to palm-feature data representing corresponding characteristics of stored palms of enrolled users. Additionally, the system may compare characteristics of the query palm with corresponding characteristics of stored palms until the system is confident that the query palm corresponds to a stored palm of a user profile. By performing simpler characteristic-by-characteristic sameness verification tasks, the system may reduce the amount of time and computing resources utilized to verify an identity of a user as opposed to top-level, palm-identity verification.