Veneer Grading Vision System Automation
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Solution Overview
Problem
Current methods for veneer inspection and grading in layered wood product manufacturing are inefficient, inaccurate, and pose safety hazards, requiring significant human intervention and resources, leading to inconsistent and damaged veneer stacks.
Innovation Solution
Implementing a vision system that captures images of full or partial veneer sheets to determine dimensions and grade them automatically, with veneer selection and stacking robots moving sheets to appropriate stacks based on the assigned grade, ensuring consistent and safe stacking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection and grading methods are used, then human judgment can be applied to assess veneer quality, but the process is inefficient, inaccurate, and poses safety hazards
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated vision system that uses cameras and image processing algorithms to detect, measure, and grade veneer defects. This substitution eliminates human safety hazards while improving both accuracy and efficiency through consistent, high-speed automated analysis of veneer surfaces.
Solution Approach 2:
The patent introduces a vision system as an intermediary between the veneer inspection process and the grading decision. The system captures images of veneer sheets, processes them through software algorithms to identify defects and measure dimensions, and automatically assigns grades based on predefined criteria, thereby resolving the contradiction between manual accuracy and automated efficiency.
2Ease of operation
If manual handling of veneer sheets is performed, then human workers can assess and sort veneer, but significant human resources and factory space are required
Solution Approach 1:
The patent implements a self-service system where the vision system automatically performs inspection, grading, and sorting functions previously requiring human workers. The system independently captures images, analyzes veneer quality, determines grades, and controls stacking without human intervention, thereby eliminating the need for significant human resources and factory space.
Solution Approach 2:
The patent replaces human workers with an automated vision-based system that performs all inspection and sorting tasks. This substitution dramatically reduces the quantity of human resources required while maintaining ease of operation through automated decision-making and robotic handling.
3Measurement precision
If automated vision system is implemented, then grading accuracy and consistency are improved, but device complexity increases
Solution Approach 1:
The patent employs a multi-functional vision system that performs multiple tasks including defect detection, dimension measurement, grade assignment, and robotic control within a single integrated platform. This universal system achieves high grading consistency while managing complexity through consolidation of functions into one coordinated system rather than multiple separate devices.
4Manufacturing precision
If traditional stacking methods are used, then human workers can manually arrange veneer stacks, but the process is time-consuming and results in inconsistent stacking
Solution Approach 1:
The patent replaces manual stacking operations with an automated robotic system controlled by the vision system. The robot rapidly and consistently stacks veneer sheets according to the graded categories, eliminating the time-consuming nature of manual stacking while ensuring uniformity and precision in stack arrangement through automated control.
Solution Approach 2:
The vision system performs preliminary grading and sorting of veneer sheets before they reach the stacking stage. By pre-categorizing veneer into different grades based on image analysis, the system enables the robotic stacker to efficiently place sheets in appropriate stacks without requiring real-time decision-making during stacking, thereby reducing time while maintaining consistency.
Data Source
AI summary
A method and system for a veneer grading and stacking uses one or more vision systems to generate images of the individual full or partial sheets of veneer and accurately determine the dimensions of each individual full or partial sheet of veneer. The one or more vision systems are also used to analyze the surface of each individual full or partial sheet of veneer quickly and automatically and assign a grade to each individual full or partial sheet of veneer. One or more veneer selection and stacking robots are then used to move each individual full or partial sheet of veneer from a veneer analysis and selection conveyor system to an appropriate veneer stack based on the grade assigned to the individual full or partial sheet by the one or more vision systems.