Palm Recognition System for Contactless Checkout Identification
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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 inefficient.
Innovation Solution
A biometric recognition system that allows users to enroll and identify themselves using palm recognition, enabling seamless checkout by charging their accounts without the need for physical IDs or payment cards, utilizing imaging devices and machine-learning models to capture and analyze palm features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional checkout processes use physical identification objects (cards, IDs), then customer identification can be verified, but customer convenience is reduced and checkout efficiency is lowered
Solution Approach 1:
The patent replaces mechanical/physical identification systems (cards, IDs, cashiers) with an automated optical biometric recognition system. Imaging devices capture palm prints, and machine learning models automatically verify customer identity, eliminating the need for physical objects while maintaining reliable identification.
Solution Approach 2:
The system enables customers to perform self-identification by simply placing their palm on the imaging device. The automated recognition and account charging process eliminates the need for cashier assistance or manual presentation of identification documents, allowing customers to complete checkout independently.
2Productivity
If automated biometric recognition is implemented, then checkout efficiency is improved and physical objects are eliminated, but system complexity increases
Solution Approach 1:
The imaging device serves multiple functions: capturing palm print images, providing user interface feedback, and integrating with the machine learning system. This multi-functionality reduces the need for separate dedicated components, thereby managing system complexity while enabling automated biometric recognition and checkout processing.
Solution Approach 2:
The patent introduces an image processing intermediary layer that bridges the physical palm print and the digital recognition system. The imaging device captures biological data, converts it to digital images, and feeds them to machine learning models, creating a manageable interface between biological identification and automated processing.
3Loss of time
If physical identification objects are required, then account verification can be performed, but checkout time increases due to handling and presentation steps
Solution Approach 1:
Customers enroll their palm print biometric data in advance during a registration phase. This preliminary action stores their identification information in the system, so during checkout, only a quick palm placement is needed for verification rather than presenting physical documents or waiting for manual processing.
Solution Approach 2:
The system replaces manual handling of physical identification objects with automated optical capture and digital processing. The imaging device instantly captures palm prints, and machine learning models rapidly verify identity, eliminating the time required for customers to physically present and handlers to verify cards or IDs.
Data Source
AI summary
This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a device may detect a portion of a user, such as a hand. The device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the device may determine locations of the portion of the user above the device. The device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the device may send data representing the portion of the user to a remote system.