Infrared Image Shape Analysis for Insulation Void Detection
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Solution Overview
Problem
Current methods for identifying insulation voids in building cavities are subjective and ineffective, often leading to missed voids or false positives, as they cannot accurately determine the presence or volume of voids using infrared imaging.
Innovation Solution
A method utilizing a computing device to analyze infrared images of building surfaces, partitioning them into regions based on digital pixel values, applying shape analysis algorithms to identify insulation voids, and recognizing specific shapes indicative of voids, such as triangular or arc shapes, to provide an objective assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If subjective visual inspection methods are used to identify insulation voids, then the process is simple and quick, but the accuracy and reliability of void detection deteriorates due to missed voids and false positives
Solution Approach 1:
The patent replaces subjective visual inspection with an automated image processing system that uses infrared imaging and shape analysis algorithms to objectively detect insulation voids. The system processes thermal images to identify characteristic void patterns, eliminating human subjectivity while maintaining operational simplicity through automated analysis.
Solution Approach 2:
The patent introduces an intermediate image processing system that acts as a mediator between the infrared camera and the final detection result. This system includes algorithms that partition images into regions, analyze shapes, and identify void characteristics, providing an objective bridge between raw thermal data and accurate void detection.
2Difficulty of detecting and measuring
If infrared imaging is used to detect insulation voids, then thermal patterns can be visualized, but the ability to accurately determine void presence and volume deteriorates because the technology cannot distinguish voids from other thermal variations
Solution Approach 1:
The patent divides the infrared image into multiple regions and analyzes each region's thermal characteristics and shape properties. By segmenting the image and applying shape analysis algorithms to identify characteristic void patterns (such as triangular or arc shapes), the system can distinguish actual voids from other thermal variations like knit lines or framing elements.
Solution Approach 2:
The patent transforms the thermal image data into shape parameters and geometric characteristics that are specific to void patterns. By analyzing parameters such as region shape, area, and thermal gradient patterns, the system can accurately identify voids while filtering out non-void thermal variations, thereby improving detection precision.
3Device complexity
If manual inspection methods are used to assess insulation quality, then the equipment required is simple, but the reliability and objectivity of the assessment deteriorates due to subjective analysis
Solution Approach 1:
The patent replaces manual subjective assessment with an automated computing system that processes infrared images through shape analysis algorithms. This substitution maintains relatively simple equipment requirements (infrared camera and computing device) while dramatically improving reliability by eliminating human subjectivity in void identification and volume estimation.
Solution Approach 2:
The system performs self-assessment by automatically analyzing its own captured images without requiring external expert interpretation. The shape analysis algorithms independently identify void patterns and calculate volumes, providing objective, reliable assessments that do not depend on inspector expertise or subjectivity.
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 allows for accurate and objective detection of insulation voids, enabling precise identification and quantification of voids, thereby improving insulation quality assessment and energy efficiency in buildings.
Implementation Method 1
a thermographic camera disposed in the housing and configured to capture an infrared image of a building surface
Implementation Method 2
partitioning, using the computing device, the infrared image into a plurality of regions based on the digital pixel values
Data Source
AI summary
The present disclosure relates generally to evaluating thermal properties of building surfaces. The present disclosure relates more particularly to a method of evaluating insulation in a cavity in a building surface. The method includes obtaining an infrared image of a first area of the building surface that covers the cavity, where the infrared image includes an array of digital pixel values. The infrared image is partitioned into a plurality of regions based on the digital pixel values. A shape of a first identified region is determined using a shape analysis algorithm and whether the first identified region corresponds to a first insulation void is recognized based on the determined shape of the first identified region.