AI Vision Commodity Image Acquisition for Automated Barcode Association
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Solution Overview
Problem
The existing methods for acquiring commodity image information in commercial superstores, especially for new or specific commodities, are inefficient and labor-intensive, often requiring manual barcode scanning and multiple camera photography, which is impractical and costly.
Innovation Solution
An AIoT-based system that includes an AIoT management server, shelf label management server, AI vision system, and commodity information management system, which automatically captures and recognizes electronic shelf label information, associates barcodes with commodities, and performs data analysis to enhance acquisition efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual barcode scanning and multiple camera photography are used to acquire commodity image information, then the acquisition accuracy can be ensured, but the acquisition efficiency is very low and labor-intensive
Solution Approach 1:
The patent combines multiple acquisition devices (barcode scanning gun, multiple cameras) into an integrated automated acquisition system. The system merges barcode recognition, image capture, and spatial information extraction into a unified automated workflow, eliminating manual operations while maintaining high acquisition accuracy through coordinated multi-device operation.
Solution Approach 2:
The patent replaces manual mechanical operations (handheld barcode scanning, manual camera operation) with automated vision-based systems. The AI vision system automatically captures images, recognizes barcodes, extracts spatial information, and binds commodity information without human intervention, substituting mechanical manual labor with intelligent automated processing.
2Loss of information
If special acquisition devices are used to scan barcode and photograph commodities, then the commodity information can be acquired, but the commodity needs to be moved and the operation becomes complex
Solution Approach 1:
Instead of moving the commodity to the acquisition device, the system inverts the approach by bringing the acquisition capability to the commodity's location. The automated vision system and electronic shelf labels are deployed at the shelf where commodities are placed, allowing information acquisition without moving the commodities or complicating operational procedures.
Solution Approach 2:
The system enables commodities to be automatically identified and information to be automatically acquired through their inherent features (barcodes, electronic shelf labels). The acquisition system automatically detects and binds commodity information without requiring manual handling or complex operational steps, making the process self-service oriented.
3Loss of information
If multiple cameras are used to photograph commodities from different angles, then comprehensive image data can be obtained, but the device complexity and acquisition time increase
Solution Approach 1:
The patent employs multi-functional acquisition devices that can perform multiple tasks simultaneously. The vision system and electronic shelf labels serve multiple purposes: capturing images, recognizing barcodes, extracting spatial information, and binding commodity data. This multi-functionality reduces the need for separate specialized devices, simplifying the overall system while maintaining comprehensive data acquisition capability.
Data Source
AI summary
The disclosure discloses a commodity image information acquisition system, method and apparatus. The system comprises: AIoT management server configured to transmit a product information list to a shelf label management server, and to transmit a notification of starting to take photos to an AI vision system; the shelf label management server configured to determine the electronic shelf label to be notified, and to transmit an information display notification; when the electronic shelf label to be notified performs an information display action, to generate matching relationship between the information display action and the barcode of the commodity and transmit the matching relationship to the AI vision system; the AI vision system configured to shoot the information display action and obtain the shot content; and to perform parse and obtain a recognition result; the commodity information management system configured to associate the electronic shelf label with the commodity.