Log Quality Inspection Using Flat Photographic Surface Mapping
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Solution Overview
Problem
Current methods for checking log quality, such as visual inspection, are limited by the inability to examine the entire surface due to the cylindrical shape, are labor-intensive, operator-dependent, and affected by lighting conditions, leading to incomplete and subjective evaluations.
Innovation Solution
A process involving obtaining flat photographic representations of the log's surfaces, which can be combined to correct curvature distortions, allowing for either manual or automated evaluation using electronic systems and algorithms, enabling comprehensive and unbiased assessment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If visual inspection is performed by moving around the log or using mirrors, then the operator can examine the log surface, but the lower part of the log cannot be examined and the process is lengthy
Solution Approach 1:
The patent uses photographic copying to capture the log surface instead of direct visual inspection. Multiple photographs are taken from different positions and then combined computationally to create a complete virtual representation of the log surface, eliminating the need for physical movement around the log and providing complete coverage including the lower part.
Solution Approach 2:
The patent replaces the mechanical system of physical movement and mirror positioning with an optical and computational system. Cameras capture images from various positions, and computer algorithms automatically combine and correct these images, substituting manual mechanical inspection with automated optical and computational processing.
2Measurement precision
If visual inspection is performed manually, then the operator can evaluate the log, but the analysis is affected by operator capabilities and lighting conditions
Solution Approach 1:
The patent creates digital copies of the log surface through multiple photographs taken under controlled lighting conditions. These digital copies can be processed and analyzed consistently without being affected by varying operator capabilities or environmental lighting conditions, as the digital images can be standardized and processed uniformly.
Solution Approach 2:
The patent employs computational algorithms that automatically analyze the photographic images and provide objective quality assessment. The system processes multiple images, corrects distortions, and generates consistent evaluations that are not subject to human variability or environmental factors like lighting conditions.
3Loss of information
If photographs are taken of the log lateral surface, then the surface can be captured, but the curvature of the log distorts the view
Solution Approach 1:
The patent uses computational algorithms that process multiple photographs and automatically correct the distortions caused by log curvature. The system analyzes the geometric relationships between images and applies transformation algorithms to produce an accurate flat representation of the cylindrical surface, compensating for the inherent distortion in each individual photograph.
Solution Approach 2:
The patent combines multiple distorted photographs into a single accurate representation by computationally merging the images. The algorithm integrates information from multiple views, corrects curvature distortions through coordinate transformation, and produces a unified accurate map of the log surface that preserves true geometric relationships.
Data Source
AI summary
A process for checking the quality of logs, each log having a front surface (2), a rear surface (6) and a lateral surface (3). In the process, the quality check being carried out by means of a visual examination of the outer appearance of the logs (1). The process also comprising the operating steps of obtaining a first flat photographic representation (7) which represents the flat extension of the lateral surface (3) of the log (1), and if necessary a second flat photographic representation (4) which represents the front surface (2) of the log (1), and a third flat photographic representation (5), representing a rear surface (6) of the log (1). Finally, the quality of the log (1) is evaluated by means of an examination of the photographic representations (4), (5), (7).