Holographic Interferometry Visual Quality Assessment

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current AI vision-based systems for visual quality assessments require significant computing resources, such as memory and CPU/GPU cycles, to perform object detection and image classification on optical data, making them resource-intensive.

Innovation Solution

The implementation of holographic interferometry, which involves obtaining reference and test holographic patterns, creating an interference pattern by superimposing them, and determining differences between objects based on this pattern, reduces the computational requirements by employing a more efficient method for visual quality assessment.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If AI vision-based systems are used to perform visual quality assessments, then object detection and image classification can be performed, but significant computing resources (memory, CPU & GPU cycles) are required

Engineering Contradiction:

Improvevisual quality assessment accuracyVSAvoidcomputational resource consumption

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent replaces the mechanical computing system (AI neural networks requiring CPU/GPU cycles) with an optical system using holographic interferometry. The visual quality assessment is performed through optical interference patterns rather than computational algorithms, directly substituting the mechanical processing system with an optical physical system that achieves the same measurement function with minimal computational resources

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the fundamental parameter of measurement from digital image pixel analysis to optical interference pattern analysis. By transforming the measurement domain from computational image processing to optical physics-based interferometry, the system achieves visual quality assessment with dramatically reduced computational resource requirements while maintaining measurement precision

Inventive Principle:

Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach significantly reduces the computational resources needed for visual quality assessments, providing a more efficient and cost-effective method compared to traditional AI-based systems while maintaining accurate object comparison.

Implementation Method 1

creating an interference pattern by superimposing the test holographic pattern onto the reference holographic pattern

Methodology Applied

Scientific EffectInterference: Interference

Data Source

PatentUS11499815B2Visual quality assessment augmentation employing holographic interferometry

Publication Date: 2022.11.15 INTERNATIONAL BUSINESS MACHINE CORPORATION

AI summary

Methods, systems and computer program products for performing visual quality assessment using holographic interferometry are provided. Aspects include obtaining a reference holographic pattern based on a reference object and obtaining a test holographic pattern based on a test object. Aspects also include creating an interference pattern by superimposing the test holographic pattern onto the reference holographic pattern. Aspects further include determining a difference between the reference object and the test object based upon the interference pattern.