Omni-Directional Vision Inspection for Curved Surface Defect Detection
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Solution Overview
Problem
Current defect detection methods for complex curved surface products are inefficient, prone to missing defects, and affected by environmental factors, leading to low accuracy and high costs due to manual detection and fixed perspectives.
Innovation Solution
A vision-based enhanced omni-directional defect detection apparatus and method utilizing a six-degree-of-freedom mechanism, CMOS camera, and adjustable LED lights, combined with the YOLOv5 algorithm and OpenCV for multi-angle feature extraction and decision tree classification, enabling accurate and contactless defect identification on production lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual detection is adopted, then detection flexibility is maintained, but detection cost increases and efficiency decreases
Solution Approach 1:
The patent replaces manual mechanical detection with an automated vision-based detection system. A camera captures images of the part surface, and image processing algorithms automatically analyze defects, eliminating the need for manual inspection while significantly improving detection efficiency and consistency.
Solution Approach 2:
The detection system performs self-analysis through automated image processing and defect recognition algorithms. The system independently identifies, classifies, and records defects without requiring human intervention, enabling continuous operation and improving overall productivity.
2Reliability
If fixed perspective detection is used, then device complexity is reduced, but detection completeness decreases due to random defect distribution
Solution Approach 1:
The patent transitions from single-perspective (2D) detection to multi-perspective (3D) detection by adding rotational capability. The detection device can rotate around the part to capture images from multiple angles, ensuring that defects distributed randomly on the surface are all visible and detectable, thereby improving detection completeness and accuracy.
Solution Approach 2:
The detection system incorporates dynamic rotation capability, allowing the camera to move from a fixed position to multiple rotational positions. This dynamic adjustment enables the system to adapt to different defect locations on the part surface, ensuring comprehensive coverage without requiring multiple fixed cameras.
3Measurement precision
If weak defects are detected under ambient lighting, then detection simplicity is maintained, but detection accuracy decreases due to light interference
Solution Approach 1:
The patent uses LED lighting to illuminate the part surface with specific wavelengths and intensities that enhance the visibility of defects. By controlling the color and intensity of the light source, the system improves the contrast between defects and the background, making weak defects more detectable and accurate identification possible.
Solution Approach 2:
The patent employs structured light projection or surface illumination techniques that create optical contrast enhancements. The controlled lighting conditions create optical effects that amplify the visibility of subtle surface defects, allowing accurate detection without requiring complex post-processing.
4Reliability
If multi-angle detection is implemented, then defect coverage is improved, but detection time increases
Solution Approach 1:
The patent implements periodic rotation of the detection device at optimized intervals. Rather than continuously rotating or stopping at every possible angle, the system rotates to predetermined angular positions where defect detection is most effective. This periodic approach maintains comprehensive coverage while minimizing the total detection time.
Solution Approach 2:
The system performs preliminary rapid scanning to identify potential defect locations, then focuses detailed multi-angle inspection only on those areas. This preliminary action allows the system to skip unnecessary rotations for defect-free areas, significantly reducing overall detection time while maintaining high detection completeness.
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
This solution improves detection accuracy, reduces costs, and enhances production efficiency by enabling rapid positioning and multi-view defect analysis, minimizing the impact of environmental factors and ensuring comprehensive defect identification on complex curved surfaces.
Implementation Method 1
a six-degree-of-freedom mechanism capable of adjusting the camera as well as the light source
Implementation Method 2
a plurality of LED lights are disposed along a longitudinal movement direction of the conveyor belt
Implementation Method 3
a pressure sensor is disposed on the conveyor belt opposite to a surface where the LED lights are disposed, and the pressure sensor is connected to a speed regulator
Implementation Method 4
the lift lever is provided with a six-degree-of-freedom mechanism and a complementary metal oxide semiconductor (CMOS) camera
Data Source
AI summary
A vision-based enhanced omni-directional defect detection method is provided. The method includes: performing posture adjustment on equipment, changing an equipment angle and a transmission speed, acquiring a multi-angle detection picture, and performing information fusion and classification. By means of the method, the influence of natural and human factors is solved, the problem of missing detection is solved by adoption of defect feature enhancement, and the part detection accuracy is improved.