Authentication Symbol Verification via Image Segmentation
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Solution Overview
Problem
Beverage forming machines face challenges in verifying authentication symbols on cartridges due to unknown orientations and distortions, requiring a method to efficiently scan and recognize symbols on cartridges with varying positions and angles.
Innovation Solution
A method involving boundary detection, unwrapping, and incremental scanning of images to identify predetermined patterns, using a controller and imaging assembly to detect visual boundaries, correct for distortions, and scan for authentication symbols within defined image segments, reducing processing power and verification time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the beverage forming machine scans the entire logo at all possible orientations to find the authentication symbol, then the verification reliability is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent divides the logo into multiple segments or regions and scans for the authentication symbol in each segment at specific orientations rather than scanning the entire logo at all possible orientations. This segmentation approach reduces the search space while maintaining verification reliability by systematically covering all potential symbol locations.
Solution Approach 2:
The patent performs preliminary actions by first detecting the logo's position and orientation, then using this information to guide the authentication symbol search. The system pre-processes the image to identify key features and uses these to narrow down the search area, avoiding exhaustive scanning of all orientations.
2Reliability
If the beverage forming machine scans the entire logo at all possible orientations to find the authentication symbol, then the verification reliability is improved, but the device complexity increases
Solution Approach 1:
The patent segments the authentication verification process into distinct stages: logo detection, orientation determination, and targeted symbol scanning. Each stage processes only the necessary portion of the image with appropriate complexity, reducing overall device complexity while maintaining verification reliability.
Solution Approach 2:
The patent applies partial action by scanning only the necessary portions of the logo at relevant orientations based on detected features, rather than performing exhaustive scanning of all areas and orientations. This reduces computational complexity while maintaining sufficient verification reliability.
3Measurement precision
If the beverage forming machine scans the entire logo at all possible orientations to find the authentication symbol, then the measurement precision is improved, but the productivity decreases
Solution Approach 1:
The patent segments the verification process to focus computational resources on the most likely locations and orientations of the authentication symbol based on logo structure analysis. This maintains detection accuracy by concentrating precision scanning where the symbol is most likely to be found, while improving throughput by avoiding unnecessary scans.
Solution Approach 2:
The patent performs preliminary analysis of the logo's structure and orientation to predict the authentication symbol's location and orientation. This preliminary action enables the system to configure the scanning parameters in advance, maintaining measurement precision while significantly reducing the time required for verification and improving overall productivity.
Data Source
AI summary
A method and apparatus for template matching to find a predetermined pattern in an image is disclosed. A first visual boundary is detected in the captured image, and a second boundary concentric with the first boundary is calculated. The first and second boundaries define a portion of the captured image. The portion of the captured image is incrementally scanned about the center of the second boundary for a predetermined pattern having a predetermined orientation within the portion that match a template image. Alternatively, the portion of the captured image is unwrapped into a linear band image such that the first and second boundaries form a linear top and linear bottom of the linear band image, and the linear band image of the portion of the captured image is scanned for a predetermined pattern that matches a template image.