Timber Log Classification via Dual-End Image Pattern Analysis
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Solution Overview
Problem
Current automated systems for classifying timber logs in the wood processing chain are either too large and expensive or lack efficiency and accuracy, leading to bottlenecks in the supply chain.
Innovation Solution
An apparatus and method utilizing an image processor to classify timber logs by comparing patterns from images of both ends of logs, determining characteristics based on these patterns, and identifying quality factors, which can be used to analyze multiple logs simultaneously for improved accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual classification by log experts is used, then measurement precision and quality assessment are improved, but labor intensity and processing time increase significantly
Solution Approach 1:
The patent replaces manual mechanical inspection by log experts with an automated image processing system. Cameras capture images of log ends, and computer vision algorithms automatically analyze growth patterns, ring structures, and physical characteristics to classify logs, eliminating the need for human experts to manually examine each log while maintaining classification accuracy
Solution Approach 2:
The system creates digital copies (images) of log ends and analyzes these copies rather than physically handling each log. By capturing and processing image data of log characteristics such as growth rings and end grain patterns, the system can rapidly classify multiple logs simultaneously without the physical constraints of manual inspection
2Productivity
If automated drive-through laser scanning systems are used, then processing speed is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent extracts only the essential information needed for classification from the log ends using simple cameras, rather than using complex laser scanning systems to capture complete 3D models. By focusing solely on capturing images of log end surfaces and growth patterns, the system achieves sufficient data for accurate classification with minimal equipment complexity
Solution Approach 2:
The system segments the log classification task into independent image capture and image analysis components. Instead of using a single complex drive-through scanning system, the patent uses multiple simple cameras positioned at log ends, with each camera capturing specific visual data that is then processed independently by computer vision algorithms
3Device complexity
If single-end log imaging is used, then device complexity is reduced, but measurement precision and quality assessment accuracy deteriorate
Solution Approach 1:
The patent merges image data from both ends of each log into a comprehensive quality assessment. By capturing and analyzing images from both the first and second ends of logs, the system can evaluate overall uniformity, detect growth issues affecting the entire log, and provide more accurate quality factors that reflect the complete log condition rather than just one end
Data Source
AI summary
Disclosed is an apparatus and method configured for classifying timber logs in a wood processing chain. The apparatus comprises an image processor. The image processor is configured to receive a first log image of a first end of log and determine a first end pattern. The image processor is configured to receive a second log image of a second end of the same log, wherein the second end is opposite the first end. The image processor is further configured to determine a first pattern in the first end and a second pattern in the second end. Lastly, the image processor is further configured to determine a characteristic of the log based on the first pattern and the second pattern.