Counterfeit Detection Resolution Sensitivity Optimization

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Solution Overview

Problem

Existing counterfeit identification systems consume significant processing power, bandwidth, and memory due to the varying resolutions of devices used to capture sample images, which complicates the comparison and identification of authentic and counterfeit images.

Innovation Solution

A counterfeit identification system that determines image feature resolution sensitivity, allowing it to select appropriate image features for analysis based on the capturing device's resolution, thereby optimizing the analysis process and reducing resource consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If sample images are captured by devices with different resolutions, then the system can accommodate various capturing devices, but the processing power, bandwidth and memory consumption increase significantly

Engineering Contradiction:

Improvecompatibility with different capturing devicesVSAvoidprocessing power consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system changes the resolution parameter of captured images to match the resolution of stored reference images. By converting images to a standardized resolution, the system maintains compatibility with various capturing devices while ensuring consistent processing requirements and resource consumption.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The system segments the image processing workflow into distinct stages: capturing at native resolution, converting to standardized resolution, and then comparing with reference images. This segmentation allows flexible input from different devices while maintaining efficient processing through standardization.

Inventive Principle:

Principle #1Segmentation

2Adaptability or versatility

If sample images are captured by devices with different resolutions, then the system can accommodate various capturing devices, but the memory consumption increases significantly

Engineering Contradiction:

Improvecompatibility with different capturing devicesVSAvoidmemory consumption

Core Design Contradiction:

Adaptability or versatilityVSQuantity of substance

Solution Approach 1:

The system standardizes the resolution parameter of all captured images to match reference images, preventing memory overhead from storing or processing multiple resolution versions. This ensures consistent memory usage regardless of the capturing device resolution.

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If high resolution images are processed for counterfeit identification, then the accuracy of counterfeit detection is improved, but the processing power and time consumption increase

Engineering Contradiction:

Improvecounterfeit detection accuracyVSAvoidprocessing efficiency

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The system optimizes the resolution parameter by converting images to match the reference resolution exactly. This ensures sufficient accuracy for counterfeit detection while avoiding the excessive processing requirements that would result from handling higher resolution images.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS9978113B2Feature resolutions sensitivity for counterfeit determinations

Publication Date: 2018.05.22 HEWLETT PACKARD DEVELOPMENT COMPANY LP

AI summary

A counterfeit identification performance attribute (SIPA) sensitivity to changes in resolution of the image for features of an image is determined. The CIPA sensitivity for the features is used to choose at least one feature to determine whether the image on a sample is a counterfeit.