Image-Based Appearance Defect Detection for Plastic Domes
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Solution Overview
Problem
Existing methods for defect detection in plastic domes and other objects, such as plastic casings, are labor-intensive and time-consuming due to the difficulty in defining defects like rough surfaces, small pits, slight bends, and slight fracture marks.
Innovation Solution
A defect detection method involving image acquisition, brightness information analysis, and appearance defect information extraction through vertical and horizontal integration projection, local threshold segmentation, and derivative processing to identify defects like fracture marks, pits, and bends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual detection is used to identify defects like rough surfaces, small pits, slight bends, and fracture marks, then detection accuracy can be maintained, but detection time and labor intensity increase significantly
Solution Approach 1:
The patent replaces manual visual inspection with an automated image processing system that captures images of plastic domes and uses computer algorithms to detect defects. The system processes images to identify fracture marks, pits, bends, and surface roughness automatically, eliminating the need for manual detection while maintaining high accuracy and significantly reducing detection time.
Solution Approach 2:
The patent creates a digital copy of the plastic dome by capturing its image, and then performs defect detection on this digital replica rather than the physical object itself. This allows multiple analyses to be performed on the same copy without additional physical inspection time, enabling rapid and repeated defect detection.
2Difficulty of detecting and measuring
If manual detection is used for plastic dome defects, then complex defect definitions can be handled, but labor intensity and cost increase
Solution Approach 1:
The patent replaces manual detection with an automated image processing system that uses algorithms to identify and classify defects. The system automatically recognizes fracture marks, pits, bends, and surface roughness based on image analysis, handling complex defect definitions without requiring manual interpretation and significantly improving detection efficiency.
Solution Approach 2:
The patent transforms physical defect characteristics into digital image parameters that can be processed computationally. By converting visual defect features into pixel-based data and applying image processing algorithms, the system efficiently handles complex defect definitions through parameter-based analysis rather than manual assessment.
3Productivity
If automated image processing is implemented for defect detection, then detection speed and productivity improve, but system complexity increases
Solution Approach 1:
The patent implements an automated image processing system that replaces manual detection, accepting the necessary increase in system complexity as a trade-off for dramatically improved productivity. The system uses computer vision and image processing algorithms to automatically detect and classify defects, enabling high-speed detection without human intervention.
Solution Approach 2:
The patent uses digital image copies of the plastic domes as the basis for automated analysis. By working with digital replicas rather than physical objects, the system enables rapid, repeated, and consistent defect detection without the complexity of handling physical samples, improving productivity through efficient digital processing.
4Reliability
If multiple detection methods are used to cover all defect types, then detection comprehensiveness improves, but detection time and process complexity increase
Solution Approach 1:
The patent merges multiple defect detection capabilities into a single integrated image processing system. The system simultaneously detects fracture marks, pits, bends, and surface roughness using unified image processing algorithms, eliminating the need for separate detection methods and significantly reducing total detection time while maintaining comprehensive coverage.
Solution Approach 2:
The patent creates a universal defect detection system that can identify multiple types of defects (fracture marks, pits, bends, surface roughness) using a single image processing platform. This multi-functional approach allows comprehensive defect detection without requiring multiple specialized systems or sequential processing steps.
Data Source
AI summary
A defect detection method and apparatus and an electronic device are disclosed. The method comprises: acquiring an image of an object to be detected (S1100); acquiring brightness information of pixels in the image (S1200); and acquiring appearance defect information of the object to be detected based on the brightness information (S1300), wherein the appearance defect information represents defects existing in an appearance of the object to be detected. This method enables the electronic device to quickly and accurately obtain the appearance defect information of the object to be detected, thereby saving human labor and improving the user experience.