Shopping Payment System with Real-Time Product Recognition Feedback
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Solution Overview
Problem
Existing shopping payment systems using POS terminals fail to promptly inform customers when products are not properly captured, leading to troublesome verification and delayed payment processes.
Innovation Solution
A shopping payment system comprising a management server, a camera, and a customer terminal that communicates to identify products and notify customers of abnormal states, allowing for quick payment without human intervention by confirming product details through imaging and AI analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If a POS terminal is used to capture product images for shopping basket identification, then product recognition can be automated, but the system fails to promptly notify customers when products cannot be properly captured, leading to verification delays
Solution Approach 1:
The system implements real-time feedback by continuously monitoring product capture status and immediately notifying customers through the terminal when products cannot be properly identified. This feedback mechanism ensures customers are alerted to capture failures without delay, allowing them to correct the issue before payment is completed.
Solution Approach 2:
The system performs preliminary verification of product capture quality before proceeding to payment processing. By checking whether products are properly identified in advance, the system prevents incomplete or incorrect purchases from being finalized, ensuring only properly captured products are included in the shopping basket.
2Reliability
If separate shopping payment processing is required for each product, then payment can be processed individually, but the overall payment process becomes time-consuming and less efficient
Solution Approach 1:
The system merges multiple separate payment processing operations into a single integrated payment process. By consolidating the verification and payment functions, the system processes all shopping basket items simultaneously rather than individually, significantly reducing the total time required while maintaining accurate processing of each product.
Solution Approach 2:
The terminal device performs multiple functions including product identification verification, shopping basket management, and payment processing in a single integrated system. This multi-functional approach eliminates the need for separate processing steps and improves overall efficiency while ensuring comprehensive coverage of all payment requirements.
3Measurement precision
If manual verification of purchased products is required, then accuracy can be confirmed, but the process becomes troublesome and time-consuming for customers
Solution Approach 1:
The system enables self-service by automatically verifying product identification accuracy and notifying customers of any issues. The terminal device independently checks whether products are properly captured and identified, eliminating the need for manual verification by store staff or customers, and provides automatic alerts when verification is needed.
Solution Approach 2:
The system replaces manual mechanical verification processes with automated electronic verification. Instead of requiring physical checking of products by humans, the system uses image processing and identification algorithms to automatically verify product capture quality, significantly improving both accuracy and convenience while reducing time requirements.
Data Source
AI summary
A shopping payment system for promptly settling a product price without bothering humans. The system comprising, a management server that assists customers to settle their merchandise purchases, a camera capable of communicating with the management server and capable of imaging a product that moves in and out of the shopping basket, and a customer terminal for accessing the management server. The management server links the customer terminal with the camera, which receives an instruction to start imaging and transmits imaging information of the product to the management server, which identifies the product type based on the imaging information. If identified normally, the management server notifies shopping product details to the customer terminal. If not identified normally, the management server notifies an abnormal state to the customer terminal. When the customer approves the shopping product details, the customer terminal notifies the approval to the management server to complete payment.