Image Inspection Apparatus Automatic Parameter Setting
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Solution Overview
Problem
Conventional image inspection apparatuses require significant user expertise and experience due to variable viewing easiness based on illumination type and direction, leading to potential erroneous detections and difficulty in setting optimal image processing parameters, especially when dealing with three-dimensional and planar information.
Innovation Solution
An image inspection apparatus that includes an image input unit, inspection type selection unit, parameter setting unit, image generation unit, display unit, and determination unit, allowing for automatic setting of image processing parameters based on selected inspection types and enabling users to select from a list of processed images to simplify parameter setting without understanding the detailed meaning of each parameter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional parameter setting methods are used where users manually input numerical values or select from options, then users can perform image processing, but the operation becomes complex and requires significant user expertise and experience
Solution Approach 1:
The system performs self-service by automatically determining optimal image processing parameters based on the selected inspection type, eliminating the need for users to manually set complex parameters. The parameter setting unit automatically configures parameters when a user selects an inspection type from the display, making the system self-configuring rather than requiring expert user intervention.
Solution Approach 2:
The parameter setting unit acts as an intermediary between the user's high-level inspection type selection and the low-level parameter configuration. It translates the selected inspection type into appropriate parameter values, serving as a mediator that bridges the gap between user intent and system execution without requiring users to understand detailed parameter settings.
2Measurement precision
If users manually check and adjust parameters one by one to find optimal settings, then they can achieve accurate inspection results, but the process requires significant time and expertise
Solution Approach 1:
The system performs preliminary action by pre-configuring optimal parameter sets for each inspection type. When a user selects an inspection type, the parameter setting unit has already determined the appropriate parameters in advance, eliminating the need for users to spend time manually adjusting parameters during the inspection process.
Solution Approach 2:
The system implements parameter changes by automatically switching between pre-determined parameter sets based on the selected inspection type. Instead of requiring users to manually change parameters, the system dynamically adjusts parameters based on the inspection type selection, making the optimization process automatic and time-efficient.
3Adaptability or versatility
If multiple image processing parameters are adjusted to handle both three-dimensional and planar information, then inspection comprehensiveness improves, but the device complexity and difficulty of operation increase
Solution Approach 1:
The parameter setting unit implements universality by providing a single interface (inspection type selection) that controls multiple image processing parameters. One selection action simultaneously configures multiple parameters needed for both three-dimensional and planar information processing, making the system versatile without increasing operational complexity.
Solution Approach 2:
The system merges the configuration of multiple image processing parameters into a single inspection type selection. Instead of requiring separate adjustments for each parameter, the parameter setting unit combines all parameter configurations into one unified selection process, reducing complexity while maintaining comprehensive inspection capabilities.
Data Source
AI summary
An image inspection apparatus includes: a parameter setting unit that automatically sets a value of a first parameter among a plurality of image processing parameters; an image generation unit that generates a processed image with each of a plurality of second parameter candidate values obtained by changing a value of a second parameter; a display unit that displays a second parameter candidate list image group in which a plurality of processed images are listed; an image selection unit that receives a selection of any one of the processed images included in the second parameter candidate list image group displayed on the display unit; and a determination unit that outputs a determination result of the visual inspection. The parameter setting unit sets a second parameter candidate value corresponding to the processed image selected by the image selection unit as the second parameter.