Design And Implementation Of Steel Mesh Defect Detection System

With the artificial intelligence has become the focus of attention in recent years,as one of its application fields,machine vision has also ushered in rapid development.Meanwhile,due to the huge market demand,China has become one of the regions with the most development potential in the field of machine vision in the world.Because machine vision has many excellent characteristics,such as improving production efficiency and saving costs,it plays a huge role in industrial upgrading and intelligent manufacturing.This thesis mainly introduces the design and implementation of a steel mesh defect detection system.The system is applied in the actual scene of industrial production,which can detect defects of steel mesh and monitor the production situation in real time.The entire steel mesh defect detection system includes image processing algorithm and software system,this thesis focuses on the software system.The software system can detect different defects during the production process of various types of steel mesh,and the detected defects results are counted and displayed.In the actual production process,the software system analyzes and processes the surface images of the steel mesh collected by the linear array camera installed above the production line,and finally obtains the defect information of the steel mesh.The steel mesh defect detection system can effectively improve the efficiency and accuracy of defect detection in the production process of steel mesh,and can upgrade the steel mesh production line to a new intelligent production line.The steel mesh defect detection system is implemented based on the Qt framework,the frontend interface is written using the QML,and the back-end business is implemented by C++.The software system is generally divided into image acquisition and display module,algorithm processing and configuration module,result processing module and system function modules.The image acquisition and display module is responsible for the management of the camera,the preview of the camera pictures,and the realization of the function of refreshing the rolling image,the management of the camera includes the binding and unbinding of the camera and the image display pane.The algorithm processing and configuration module is responsible for parameter configuration,image processing,simulation operation and normal operation functions.Parameter configuration refers to the configuration of filtering parameters for various defects.The image processing section introduces an algorithm based on amplitude enhancement.The simulation operation refers to testing configuration parameters by processing images stored in the local.The normal operation refers to the system analyzes and processes the steel mesh images collected by the camera.The result processing module is responsible for defect results statistics,defect marking and display and defect review.The defect results are counted and displayed in the form of histograms and list of defect information.The defect marking and display includes marking the defect area on the real-time image and displaying the detail image of the defect area.The function of defect review is used to help users to manually review the defect images detected by the system.The system function modules include system settings and permission check,and permission check refers to checking the legitimacy of users during system startup and operation.This thesis analyzes the requirements of the above-mentioned functional modules,and introduces the design and implementation process in detail,and finally tests the functions and performance of the system to ensure that the entire steel mesh defect detection system has completed the expected goals.