Article Identification in Home Appliances Using Barcode Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current home electric devices are unable to accurately identify articles or track their usage, leading to inefficiencies in providing services and increased recognition errors due to similar appearances and cost constraints on camera installations.
Innovation Solution
An information processing system that generates a recognition database based on purchased articles and associates them with home electric devices, using image recognition and unique IDs to perform high-accuracy matching of articles by limiting the database to only purchased items and incorporating home appliance attributes for improved recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If camera-based image recognition is used to identify articles, then automatic identification capability is improved, but recognition errors increase due to similar appearances of articles
Solution Approach 1:
The patent segments the identification process into two stages: first using camera-based image recognition for automatic identification, then using barcode/QR code recognition for verification. This segmentation allows the system to leverage the speed of image recognition while eliminating its accuracy problems through the precision of code-based verification.
Solution Approach 2:
The patent introduces barcode labels and QR codes as intermediary elements that bridge the gap between physical articles and digital identification. These codes serve as unique identifiers that can be reliably recognized regardless of article appearance similarities, thus mediating between the automatic identification need and accuracy requirement.
2Extent of automation
If cameras are installed in home electric devices for article identification, then automatic identification is enabled, but device cost increases
Solution Approach 1:
The patent makes the camera module universal by enabling it to perform multiple functions: both image recognition for automatic identification and barcode/QR code recognition for verification. This multi-functionality allows a single camera installation to achieve both automation and accuracy without requiring additional specialized hardware.
Solution Approach 2:
The patent applies preliminary action by pre-attaching barcode labels or QR codes to articles before they are placed in home electric devices. This preliminary preparation enables the camera to quickly verify article identity through code recognition rather than attempting complex visual analysis, reducing processing requirements and enabling cost-effective implementation.
3Adaptability or versatility
If a comprehensive recognition database is used for all possible articles, then identification coverage is improved, but recognition accuracy decreases due to similar appearances
Solution Approach 1:
The patent segments the recognition database into two distinct components: a comprehensive image database for broad article coverage and a verified code database for accurate identification. This segmentation allows the system to maintain wide adaptability through image matching while ensuring accuracy through code-based verification, solving the contradiction between coverage and precision.
Solution Approach 2:
The patent uses barcode labels and QR codes as simplified copies or representations of article identity information. Instead of relying on complex visual features that cause recognition errors, the system copies the essential identification data into machine-readable code format, which can be accurately stored in the database and reliably recognized regardless of article appearance similarities.
Data Source
AI summary
The present disclosure provides an information processing system including a recognition database generated from information on an article, wherein the article is associated with a home electric device, and the information processing system performs a matching process against the recognition database on the basis of article-use detection information provided by the home electric device with which the article is associated, and identifies an article used in the home electric device. With the configuration described above, on the basis of a recognition database generated from information on a purchased article and on the basis of article-use detection information of a home electric device associated with a purchaser of the purchased article, an article used in the home electric device can be identified.