Workpiece Imaging Preprocessing for Automatic Machining Recognition
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Solution Overview
Problem
Existing machining devices require manual adjustment of image quality settings for each workpiece, which is labor-intensive and inefficient when processing multiple workpieces with varying thicknesses or film types.
Innovation Solution
A machining device that automatically adjusts image quality by generating lookup tables based on machining conditions, using conversion formulas with gain and offset parameters to optimize luminance, and executes preprocessing and image processing to enhance image recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of image quality settings is performed for each workpiece, then image quality suitable for recognition is achieved, but considerable time and labor are required
Solution Approach 1:
The system automatically adjusts image quality parameters by acquiring workpiece information and processing conditions, then generating appropriate preprocessing settings without operator intervention. The control unit performs luminance conversion and other preprocessing operations autonomously based on the workpiece characteristics and machining conditions
Solution Approach 2:
The system dynamically changes image processing parameters such as luminance, contrast, and other quality settings based on the specific workpiece type, thickness, and machining conditions. Different parameter sets are applied automatically for different workpiece categories to optimize image quality for recognition
2Measurement precision
If individual image quality adjustment is performed for each workpiece type, then optimal image recognition quality is achieved, but the process becomes complex and labor-intensive
Solution Approach 1:
The control unit autonomously determines the appropriate image preprocessing parameters by acquiring workpiece information and automatically generating the optimal processing settings. This eliminates the need for operators to manually adjust each parameter while maintaining optimal image quality for recognition
Solution Approach 2:
The system uses a unified automated control mechanism that handles multiple workpiece types and conditions through a single integrated process. The control unit can adapt to different workpiece categories, thicknesses, and machining conditions using the same automated framework, simplifying operation while maintaining versatility
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
Automated image quality adjustment improves efficiency by providing high-quality images suitable for machining operations without manual intervention.
Implementation Method 1
an irradiation unit configured to irradiate the workpiece with electromagnetic waves capable of transmitting through the workpiece
Data Source
AI summary
A machining device acquires data including information regarding a machining condition of a workpiece and machines the workpiece under the machining condition recorded in the acquired data. The machining device includes: an irradiation unit configured to irradiate the workpiece with electromagnetic waves capable of transmitting through the workpiece; an imaging unit configured to image the workpiece irradiated with the electromagnetic waves; a preprocessing unit configured to generate a second image by executing preprocessing on a first image obtained by the imaging; and an image processing unit configured to execute image processing on the second image. The data acquired by the machining device includes information regarding a processing condition of the preprocessing. The preprocessing unit generates the second image by executing preprocessing on the first image under the processing condition recorded in the data.