Methods and a system for self-checkout processing
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Solution Overview
Problem
The retail checkout process, particularly in grocery stores, is inefficient due to the need for consumers to handle items multiple times and struggle with self-scanning, especially in locating barcodes during self-checkout.
Innovation Solution
A system and method for self-checkout processing using an AI-trained item identifier on a mobile device that recognizes items from images without requiring barcodes, allowing consumers to add items to a virtual cart and complete transactions without manual barcode scanning, utilizing a combination of AI item identifier, smart barcode identifier, and transaction manager for efficient item recognition and payment processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If consumers use traditional checkout processes, then items can be scanned and processed, but consumers must handle items multiple times and locate barcodes manually which increases time consumption and operational complexity
Solution Approach 1:
The patent replaces the mechanical barcode scanning system with an AI-based image recognition system. Instead of requiring consumers to manually locate and scan barcodes using optical scanners, the system uses a mobile device camera to capture item images and an AI-trained identifier to automatically recognize and identify items, eliminating the need for barcode location and manual scanning operations
Solution Approach 2:
The patent implements self-service by enabling consumers to perform checkout operations independently using their mobile devices. The AI identifier automatically identifies items as consumers simply point the camera at them, and the system automatically adds items to the virtual cart without requiring consumer intervention for barcode scanning or clerk assistance
2Ease of operation
If consumers use self-service terminals for checkout, then clerk assistance is eliminated, but consumers still struggle with locating barcodes and orienting items for scanning
Solution Approach 1:
The patent replaces the mechanical barcode scanning system with an AI-based image recognition system. Instead of requiring consumers to manually locate and scan barcodes using optical scanners, the system uses a mobile device camera to capture item images and an AI-trained identifier to automatically recognize and identify items, eliminating the need for barcode location and manual scanning operations
Solution Approach 2:
The patent makes the identification system universal by training the AI identifier to recognize items through multiple methods including barcode detection, QR code recognition, and visual identification of products without barcodes. This multi-functional approach allows the system to handle various item types and packaging styles, making the self-checkout process accessible to all consumers regardless of item characteristics
Data Source
AI summary
An Artificial Intelligence (AI) trained item image identifier identifies item identifiers, item descriptions, item information, and item pricing from item images captured from a mobile self-checkout manager on a mobile device. The item identifiers are automatically placed in a cart. Payment for checkout is processed through the mobile self-checkout manager and a receipt is provided for viewing on the mobile device. The receipt is shown on the display of the mobile device when existing a retail establishment for any auditing of the transaction with the establishment.