Automated Lumber Cutting With Vision-Guided Positioning
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional construction techniques for residential and industrial building construction are often manual, inefficient, and imprecise, with conventional construction materials often not meeting specific size requirements and requiring manual cutting, which can lead to imperfections and increased construction time.
Innovation Solution
An automated cutting system that includes a loading module, actuating module, sensor module, computing module, cutting module, and unloading module to efficiently and precisely cut lumber into desired sizes and shapes, reducing human intervention and improving construction efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual cutting techniques are used, then human input and flexibility are maintained, but construction time increases and precision decreases
Solution Approach 1:
The patent replaces manual mechanical cutting operations with an automated robotic system that uses computer vision and automated positioning. The robotic arm with cutting tool substitutes human hands, while automated guidance systems replace manual measurement and marking processes, achieving both speed and precision improvements.
Solution Approach 2:
The system enables self-service through automated lumber handling where the robotic system independently positions, measures, and cuts lumber without continuous human intervention. The automated feedback loops allow the system to self-correct positioning errors and maintain precision throughout the cutting process.
2Manufacturing precision
If conventional manual cutting is used, then equipment simplicity is maintained, but manufacturing precision deteriorates
Solution Approach 1:
The patent employs optical sensors and computer vision systems to replace manual measurement tools, achieving sub-millimeter positioning precision. The automated control system substitutes human judgment with algorithmic decision-making for cut positioning, ensuring consistent precision across all cutting operations.
Solution Approach 2:
The system implements real-time feedback through sensors that continuously monitor lumber position, dimensions, and cut progress. This feedback loop allows the control system to adjust positioning and cutting parameters dynamically, maintaining high precision even with variations in lumber quality or positioning errors.
3Productivity
If automated cutting systems are implemented, then productivity increases, but initial investment and system complexity increase
Solution Approach 1:
The automated cutting system is divided into modular functional units including robotic positioning, computer vision inspection, automated cutting, and control systems. This segmentation allows for phased implementation and maintenance of individual components, reducing the barrier to adoption while maintaining overall productivity benefits.
4Loss of time
If manual lumber preparation is used, then equipment simplicity is maintained, but construction time and labor intensity increase
Solution Approach 1:
The automated system enables continuous lumber processing by eliminating idle time between operations. The robotic arm continuously positions, the system continuously inspects, and the cutting tool continuously operates, creating an uninterrupted workflow that dramatically reduces total preparation time compared to batch manual operations.
Data Source
AI summary
Systems and methods for automated cutting of lumber are disclosed. The system includes a loading module that receives lumber from a loading area and places the lumber on a cutting table. The system includes an actuating module that receives the lumber from the loading module, inspects the lumber, records lumber information based on the inspection, and positions the lumber on the cutting table in preparation for cutting. The system includes a sensor module that detects the position of the lumber on the cutting table, and records the position to the lumber information. The system includes a computing module that analyzes the lumber information received from the actuating module and sensor module. The system includes a cutting module that cuts the lumber based the lumber information, the cutting resulting in cut lumber. The system includes an unloading module that places the cut lumber on an unloading area.