Spherical Defect Inspection Using Feature-Point Image Alignment
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Solution Overview
Problem
Existing defect inspection methods for spherical objects, such as golf balls, are inefficient and costly due to the need for non-destructive inspection techniques like X-rays and ultrasound, and there is a lack of effective alignment methods for optical and AI-based inspection systems.
Innovation Solution
A defect inspecting apparatus and method that aligns a spherical object by identifying feature points and rotating it to ensure these points are in a predetermined area, using a defect inspection model to accurately detect defects through image processing and neural networks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If non-destructive inspection methods (X-rays, ultrasound) are used to inspect spherical objects, then inspection reliability is improved, but inspection cost increases and device complexity increases
Solution Approach 1:
The patent replaces complex non-destructive inspection equipment (X-rays, ultrasound) with a simple optical imaging system. By using a camera to capture images of the spherical object and processing these images through algorithms, the system achieves reliable defect detection without requiring complex inspection equipment, thereby reducing device complexity while maintaining inspection reliability
Solution Approach 2:
The patent creates a virtual 3D model by capturing multiple 2D images from different angles and processing them through image reconstruction algorithms. This virtual copy allows for comprehensive defect inspection without physically manipulating the actual spherical object, eliminating the need for complex physical inspection equipment while maintaining thorough inspection capability
2Productivity
If optical technology and AI are used for defect inspection, then inspection cost is reduced and productivity is improved, but measurement precision deteriorates due to difficulty in consistently aligning spherical objects
Solution Approach 1:
The patent performs preliminary alignment by capturing multiple images from different angles before defect inspection. These pre-captured images are used to reconstruct the 3D model and establish the correct orientation, ensuring that subsequent defect detection is performed with precise alignment. This preliminary action eliminates alignment issues during the actual inspection process
Solution Approach 2:
The patent transitions from 2D image processing to 3D spatial understanding by reconstructing the spherical object from multiple captured images. This dimensional change allows the system to accurately represent the object's geometry and orientation in three-dimensional space, thereby achieving precise measurement and alignment that was not possible with single 2D images
Data Source
AI summary
Disclosed is a defect inspecting apparatus including a memory that stores computer-executable instructions, and at least one processor that executes the instructions by accessing the memory. The at least one processor obtains a first feature point and a second feature point, which serve as a basis for rotation of a solid shape, from an input image associated with the solid shape targeted for defect inspection, obtains a target image, in which the first feature point and the second feature point are included in a predetermined area, by rotating the solid shape based on the first feature point and the second feature point, and obtains information about whether the solid shape has a defect, by applying the target image to a defect inspection model.