Cable Element Defect Detection Using Visual Analysis Model
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Solution Overview
Problem
Current manual inspection methods for cable elements are inefficient and unreliable, leading to unqualified products entering the market due to the inability to perform thorough and accurate quality assessments on all cable elements.
Innovation Solution
A visual analysis method involving the construction and labeling of a picture dataset, preparation of a training dataset, training of an identification model, and subsequent analysis of target images to rapidly and comprehensively determine the structural quality of cable elements, identifying potential defects and unqualified products.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used for cable element quality assessment, then inspection can be performed with simple equipment, but inspection efficiency is low and accuracy cannot be guaranteed
Solution Approach 1:
The patent replaces the manual mechanical inspection system with an automated optical inspection system using cameras and image processing algorithms. The system captures images of cable elements and uses computer vision technology to automatically detect defects, eliminating the need for manual visual inspection while improving both accuracy and efficiency.
Solution Approach 2:
The patent creates digital copies (images) of the cable elements for inspection purposes. By capturing images and processing them through algorithms, the system can analyze multiple copies of the same object without physical contact, enabling rapid and accurate defect detection while preserving the original cable element.
2Reliability
If manual sampling inspection is performed, then equipment complexity is low, but all cable elements cannot be thoroughly inspected
Solution Approach 1:
The patent performs preliminary actions by capturing images of all cable elements during the production process. The image data is pre-processed and stored, allowing for comprehensive inspection of every element before final quality determination, ensuring no element is missed while maintaining a systematic approach.
Solution Approach 2:
The patent creates a universal inspection system that can handle multiple types of cable elements and various defect types through a single integrated platform. The image processing algorithms are designed to detect different kinds of defects across different cable types, making the system versatile and reducing the need for multiple specialized inspection systems.
Data Source
AI summary
A visual analysis method for cable element identification includes steps of constructing and labeling a picture data set, preparing a training data set and training a model, to train the preset identification and analysis model, such that the preset identification and analysis model can have accuracy of identification of cable elements; then, cable element information existing in a target image screen is identified by the completely trained preset identification and analysis model, so as to label a target picture; in the analysis method, the produced and manufactured cable elements can be shot, and then, shot pictures are identified and analyzed by using the preset identification and analysis model, such that a structural quality condition of each cable element is rapidly and comprehensively determined, possible structural defects of each cable element can be conveniently and accurately known, and the cable elements with unqualified quality can be screened out in time.