Camera-Guided CNC Image Tracing for Precise Material Cutting
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Solution Overview
Problem
Computer-numerically-controlled (CNC) machines face challenges in accurately machining complex designs and materials due to limitations in image processing and material recognition, particularly with laser cutters/engravers, which require precise control of electromagnetic radiation and are sensitive to material properties and operating conditions.
Innovation Solution
A method is implemented using cameras to capture images of the material and generate a machine file that includes an overlay of predicted cuts, allowing for digital correction and enhancement of images, and the use of machine vision to adjust CNC machine operations in real-time based on image analysis, enabling precise machining of complex designs and materials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional manufacturing techniques like moldings and manual assembly are used, then the manufacturing process is simpler and more accessible, but the level of detail and precision achieved is insufficient compared to automated manufacturing systems
Solution Approach 1:
The patent uses image capture and digital reproduction to create precise copies of design patterns. The camera captures the material surface, and the system generates digital representations that are then used to guide the CNC machining process, enabling high precision through digital copying rather than manual measurement and marking
Solution Approach 2:
The patent replaces manual mechanical operations with automated CNC systems guided by digital images. The camera-based image capture and digital processing substitute for traditional mechanical measurement and layout techniques, enabling more precise and consistent manufacturing results
2Extent of automation
If CNC machines operate based on pre-programmed instructions from computer files, then the manufacturing process is automated and consistent, but the system cannot adapt to variations in material properties or operating conditions
Solution Approach 1:
The patent implements a feedback mechanism where the camera captures images of the actual material surface, and this visual information is used to adjust the machining process in real-time. The system compares the captured image with the desired pattern and modifies cutting parameters accordingly, enabling adaptation to material variations while maintaining automation
Solution Approach 2:
The patent makes the manufacturing system dynamic by allowing real-time adjustments based on captured images. The CNC machine can modify its operation during the manufacturing process based on visual feedback from the camera, enabling adaptability to changing conditions while maintaining automated operation
3Manufacturing precision
If laser cutters/engravers use electromagnetic radiation to process materials, then the machining process is precise and controllable, but the system becomes sensitive to material properties and operating conditions that require complex control
Solution Approach 1:
The patent replaces complex mechanical control systems with optical-based image capture and digital processing. The camera system captures material properties and surface conditions, and digital algorithms process this information to automatically adjust laser parameters, reducing the complexity of mechanical control while maintaining precision
4Manufacturing precision
If the CNC machine processes complex designs with high detail, then the manufacturing precision is improved, but the processing time and productivity are reduced
Solution Approach 1:
The patent performs preliminary actions by capturing images and generating digital representations of the material and design before the actual machining process. This pre-processing allows the system to plan and optimize the machining path in advance, enabling faster processing of complex designs without sacrificing precision during the actual cutting operation
Data Source
AI summary
A method may include generating, by a camera having a view of an interior portion of a computer-numerically-controlled machine, an image comprising a pattern. The image can be transformed into a set of machine instructions for controlling the computer-numerically-controlled machine to effect a change in a material. The change can correspond to at least a portion of the pattern. At least one machine instruction from the set of machine instructions can be executed to control the computer-numerically-controlled machine to effect at least a portion of the change. The execution can include operating, in accordance with the at least one machine instruction, a tool coupled with the computer-numerically-controlled machine. The tool can be configured to effect the change on the material. Related systems and articles of manufacture, including computer program products, are also provided.