Laser Machining Region Detection for Sheet Metal Recognition
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Solution Overview
Problem
Existing sheet metal working systems struggle to accurately recognize the shape and dimensions of sheet metal when a support member is captured in the image, leading to inaccuracies in laser machining.
Innovation Solution
The system employs a configuration where the camera is positioned to avoid overlapping with the laser machining region, using illuminators to highlight the sheet metal surface, and applies keystone correction and binarization to detect the machining available area, with additional support members arranged to minimize interference and enhance detection accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the camera captures the entire laser machining region including support members, then the field of view is sufficient, but the support members interfere with accurate recognition of sheet metal shape and dimensions
Solution Approach 1:
The image processing divides the captured image into distinct regions: sheet metal region, support member region, and background region. By segmenting the image and selectively processing only the sheet metal region, the system maintains full field of view while eliminating interference from support members in the recognition process.
Solution Approach 2:
The system applies different processing qualities to different regions of the image. The sheet metal region receives high-precision processing with detailed shape and dimension recognition, while support member regions are identified and excluded from measurement calculations, ensuring local optimization of recognition accuracy.
2Measurement precision
If additional image processing steps are added to eliminate support member interference, then recognition accuracy improves, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary classification of image regions before detailed measurement, using color information and spatial relationships to pre-identify support member regions. This preliminary action prevents unnecessary processing of support areas and streamlines the overall recognition pipeline.
Solution Approach 2:
The system changes processing parameters dynamically based on region type: applying measurement algorithms only to sheet metal regions while using simplified identification algorithms for support member regions. This parameter adaptation optimizes both accuracy and processing efficiency.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for precise recognition of the sheet metal's shape and dimensions, reducing the likelihood of erroneous machining and enhancing the detection accuracy of the machining available area, thereby improving the precision of laser machining processes.
Implementation Method 1
a region of a surface of the sheet metal is blown-out-highlight in the image
Data Source
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AI summary
A sheet metal working system includes a laser machining apparatus for processing a sheet metal in a laser machining region, a camera for photographing the laser machining region, an illuminator for illuminating the sheet metal, and a processor for processing an image photographed by the camera. The laser machining apparatus includes a sheet metal support member having a plate shape, the sheet metal support member having a plurality of elongated projections arranged in a first direction in a laser machining region. The sheet metal is disposed on the plurality of elongated projections. The camera is arranged such that the optical axis of the camera is oriented substantially parallel to the first direction when viewed in the height direction of the laser machining apparatus. The processor detects a bright region in the image as a machining available area of the sheet metal.