Building Material Image Recognition for Size and Positioning
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Solution Overview
Problem
Existing building material installation methods incur high costs due to manual measurement at distant sites, require a size correction piece that is often difficult to find, cannot recognize color differences, and may result in incorrect installation locations.
Innovation Solution
A building material image recognition and analysis system that includes a photographing unit, image recognition unit with structural and color identification modules, and a positioning unit to calculate actual sizes and positions without a size correction piece, using light point projection for feature recognition and comparison with a database for accurate color and location determination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection methods are used to identify building material defects, then operational simplicity is maintained, but inspection efficiency and accuracy deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated image recognition system using cameras, processors, and machine learning algorithms to detect building material defects, thereby improving inspection efficiency while managing system complexity through software-based solutions
Solution Approach 2:
The system creates digital copies (images) of building materials for analysis, allowing multiple inspections and detailed examination without physically handling or damaging the materials, thus improving efficiency and accuracy while keeping the physical inspection process simple
2Measurement precision
If conventional inspection methods are used, then equipment cost is kept low, but defect detection precision deteriorates
Solution Approach 1:
The patent replaces simple visual inspection methods with sophisticated image recognition technology using deep learning models and neural networks to achieve high defect detection precision, accepting increased system complexity as necessary for improved accuracy
Solution Approach 2:
The system introduces image processing algorithms and machine learning models as intermediary components between the camera and defect identification, enabling high precision detection while managing complexity through modular software architecture
3Loss of information
If comprehensive defect analysis is performed, then data completeness is improved, but processing time increases
Solution Approach 1:
The system performs preliminary actions by capturing comprehensive images and pre-processing them with enhancement algorithms before detailed analysis, ensuring data completeness is established early while allowing optimized processing stages to follow
Solution Approach 2:
The patent segments the inspection process into distinct stages (image capture, pre-processing, defect detection, analysis) that can be processed independently and in parallel, maintaining data completeness while reducing overall processing time through efficient task distribution
Data Source
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AI summary
A building material image recognition and analysis system and method, used for measuring an actual size of a building material. The system comprises: a photographing unit for photographing a building material to acquire a building material image; and an image recognition unit for receiving the building material image, obtaining, according to at least one image feature in the building material image, an actual size of the image feature, and calculating an actual size of the building material according to the proportion of the image feature to the building material in the building material image and the actual size of the image feature. Therefore, during the process of obtaining an actual size of a building material, the installation space of the building material can be obtained without a size correction piece.