Image Processing for Plate Position and Angle Detection
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Solution Overview
Problem
Existing laser processing systems face inaccuracies in determining the position and angle of plate materials due to manual placement errors or vibrations, leading to material waste and inefficient processing.
Innovation Solution
An image processing device that processes captured images to generate expected data for comparison with actual data, allowing accurate detection and correction of object placement through a simple configuration without the need for additional lighting or position measuring units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a lighting unit and position measuring unit are provided to improve detection rate, then detection accuracy is improved, but device complexity and cost increase
Solution Approach 1:
The patent creates a virtual model (copy) of the object with known three-dimensional reference data, including expected two-dimensional image data from multiple viewpoints. This virtual copy is then compared with actual captured images to determine object position and angle, eliminating the need for complex lighting units and position measuring units while maintaining detection accuracy
Solution Approach 2:
The patent replaces the mechanical/optical measurement system (lighting unit and position measuring unit) with an image processing system that uses computational methods. The system substitutes physical measurement hardware with software-based image analysis and comparison algorithms, reducing device complexity while achieving the same measurement function
2Measurement precision
If a lighting unit and position measuring unit are provided to improve detection rate, then detection accuracy is improved, but device cost increases
Solution Approach 1:
The patent creates a virtual model (copy) of the object with known three-dimensional reference data, including expected two-dimensional image data from multiple viewpoints. This virtual copy is then compared with actual captured images to determine object position and angle, eliminating the need for complex lighting units and position measuring units while maintaining detection accuracy
Solution Approach 2:
The patent uses standard imaging devices (cameras) that are relatively inexpensive and widely available, replacing expensive specialized measurement hardware. The system uses multiple standard images taken from different viewpoints rather than a single expensive position measuring unit, achieving better accuracy at lower cost
3Ease of operation
If the plate material is manually placed on the table without a guide, then ease of operation is improved, but position accuracy deteriorates
Solution Approach 1:
The patent captures images of the actually placed object, compares them with the virtual model to detect position and angle deviations, and uses this feedback information to correct the nesting arrangement. This allows manual placement without guides while achieving accurate positioning through image-based feedback and automatic correction
Solution Approach 2:
The patent performs preliminary nesting calculations based on the object model before actual placement, then uses image comparison to detect deviations from the expected position. The system prepares the expected two-dimensional image data in advance, allowing quick comparison and correction after manual placement, maintaining both ease of operation and position accuracy
Data Source
AI summary
An image processing device includes an object detecting unit that processes captured image data representing a captured image, which is an image including an object or detection target and a background of the object, to generate processed image data representing a processed image, which is an image in which the object is detected; an expected-data generating unit that generates expected data representing an expected image, which a virtual image in which the object represented by an attribute is placed at a position on the background on the basis of object data representing the position of the object and background data representing the background; and a detection-result determining unit that compares the processed image data and the expected data to determine whether or not the object is detected correctly in the processed image data.


