Visual Identification System Using Texture Pattern Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing identification systems for components and products face challenges with the ease of code alteration and counterfeiting, requiring costly RFID tags and involving time-consuming separate reading processes for identification codes and certification information.
Innovation Solution
An identification system that captures and extracts images of textured patterns and information display bodies, using these images to acquire and match information, allowing for efficient identification of components and products without the need for additional costly RFID tags.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an RFID tag is used for accurate individual identification, then identification reliability is improved, but cost increases significantly
Solution Approach 1:
The patent creates a visual copy of the RFID identification information by printing it on a label that can be seen and read by ordinary cameras. Instead of using the actual RFID electromagnetic field, the system captures an image of the printed identification code, extracts features from the image, and performs matching against a database. This copying approach eliminates the need for expensive RFID readers and tags while maintaining identification capability.
2Measurement precision
If separate reading processes are used for identification code and certification information, then information accuracy is improved, but time consumption increases
Solution Approach 1:
The patent merges the reading of identification code and certification information into a single image capture operation. The label contains both types of information in visual form, and one photograph captures both simultaneously. The image processing system then extracts and processes both information types from the single captured image, eliminating the need for separate reading operations and reducing time consumption while maintaining information accuracy.
Data Source
AI summary
The invention in this application is an information acquisition/identification system provided with an image-feature storing unit, an extracting unit, an acquiring unit, and an identifying unit. The image-feature storing unit stores image features of texture patterns formed on components or products. The extracting unit extracts an information-label image and a texture-pattern image from a taken image containing at least the following: an information label that displays information regarding a component, a product, or a product comprising said component; and a texture pattern formed on said component or product. The acquiring unit acquires, from the extracted information-label image, the aforementioned information regarding the component or product. The identifying unit identifies the component, product, or component-comprising product by matching image features of the extracted texture-pattern image against the image features stored by the image-feature storing unit.