Image Segmentation: A Solution for Outer Wall Defect Detection

Based on Patent Research | CN-114359416-B (2022)

Ensuring the integrity of building outer walls requires precise defect detection. Detecting hollowing and leakage defects in these structures proves difficult. Current methods often lack the precision needed for accurate assessments, leading to ineffective repairs. However, applying Image Segmentation, a computer vision technique, offers a solution. This approach delineates specific regions within infrared images, precisely identifying defective areas and separating them from sound sections. This improves detection accuracy, enabling more effective repair strategies and better structural integrity evaluations.

SOLUTION OVERVIEW

Advancing Beyond Manual Wall Inspections

For professionals in the Construction of Buildings industry, ensuring the integrity of outer walls presents significant challenges, particularly with the precise detection of hidden hollowing and leakage defects. Image Segmentation technology directly addresses these issues by analyzing infrared images of building facades. This computer vision technique meticulously processes visual data, delineating specific regions of interest. It separates defective areas, like hollowing or moisture infiltration, from sound structural sections at a pixel level. This operational flow provides highly precise mapping, moving from raw image input to a detailed visual output highlighting exact defect locations and extents.

This precise mapping capability enables more effective repair strategies and enhances overall structural integrity evaluations. The technology can integrate seamlessly into existing inspection workflows, offering a pathway toward more automated and objective assessments of building envelope condition. For instance, much like a doctor using an X-ray to pinpoint a bone fracture, this system accurately identifies hidden structural weaknesses within building facades. This leads to significant operational improvements, optimizes resource allocation for maintenance, and supports more informed decision-making for asset management, ultimately fostering safer and more durable structures.

HOW IT WORKS

Detecting Defects from Wall Images

Capturing Thermal Imagery

Infrared cameras scan building facades, collecting thermal data. These images capture temperature variations that can indicate hidden structural issues or moisture infiltration. This initial step provides the raw visual input for analysis.

Analyzing Image Data

The system processes the captured infrared images using advanced algorithms. It meticulously examines pixel values, gray levels, and gradients within specific areas (sliding windows) to identify subtle anomalies. This analysis helps in detecting potential defect indicators.

Segmenting Defective Areas

Applying image segmentation, the system precisely delineates regions corresponding to hollowing or leakage. It separates these problematic sections from sound structural components at a pixel-level. This stage creates a clear distinction between healthy and compromised areas.

Mapping Defect Locations

The final output provides a detailed visual map highlighting the exact locations and extents of identified defects. This precise mapping offers actionable insights for professionals in the Construction of Buildings industry. It enables informed decisions for targeted repairs and structural integrity evaluations.

Potential Benefits

Precise Defect Identification

Image Segmentation accurately pinpoints hollowing and leakage defects in building outer walls at a pixel level. This precision surpasses traditional methods, ensuring no hidden issues are overlooked.

Enhanced Repair Planning

By mapping exact defect locations and extents, the system enables highly targeted and effective repair planning. This optimizes resource use and minimizes unnecessary work.

Objective Structural Evaluation

The AI system provides consistent, data-driven evaluations of building integrity, reducing subjectivity and human error in inspections. This leads to more reliable condition reports.

Optimized Resource Allocation

Accurate defect data supports informed decision-making for maintenance schedules and resource allocation. This extends asset lifespan and fosters safer, more durable structures.

Implementation

1 Deploy Thermal Cameras. Install infrared cameras on building facades to capture thermal images, ensuring proper coverage and data acquisition.

2 Install AI Software. Set up the image segmentation software and configure the AI model for defect detection analysis.

3 Process Infrared Images. Input the captured thermal imagery into the system for automated processing and analysis of potential defects.

4 Review Defect Maps. Analyze the generated visual maps highlighting segmented hollowing or leakage areas for precise identification.

5 Integrate Findings. Incorporate the detailed defect location data into existing repair planning and structural assessment workflows.

Source: Analysis based on Patent CN-114359416-B "Building outer wall hollowing leakage abnormity detection and positioning method" (Filed: June 2022).