As paper products are increasingly used in medicine, food packaging, electronics industries, etc., the quality requirements for the paper surface have become more and more stringent. Due to the influence of the papermaking environment and production process, the surface of the paper is prone to holes. , mosquitoes, stains, wrinkles, pulp lumps and other surface defects, seriously affecting product quality. In addition, the traditional artificial naked eye cannot meet high-quality inspection standards. More and more companies are beginning to use Thermo Fisher's SIMV paper defect online detection system to complete online measurement of paper surface defects. The SIMV paper defect online detection system uses cutting-edge image processing algorithms to segment, realizes the detection and classification of paper defects through gray scale and brightness contrast, and accurately calculates the location, size and other information of defect distribution through processing and segmentation, and records it at the same time. Reports facilitate later inquiries, statistics and printing, effectively reducing labor costs and improving product quality and corporate competitiveness.

【Detection Principle】

　　For paper materials with light weight and high light transmittance, the system uses the transmission lighting detection method for detection, that is, the light source is below the paper and the camera captures images above the paper (for paper materials with high weight and high light transmittance) If the quality of both sides of the paper is required, the reflective lighting method is used, that is, the light source and the camera are on the same side of the surface to be detected). When the production line is running, the system collects the production line operating status information in real time through the encoder and starts detection. The system uses the images collected by the camera to process defects through SIMV image analysis software. Because the defects and normal product images are obviously different on the gray scale. Differences allow the system to detect defects and determine the size, location, type and other information of the defects through further calculation and analysis.

【Technical Parameters】                           

【Defect Pictures】                                       

【System Functions】                                              

　　(1) Accurate defect map (X, Y coordinates) positioning display module;

　　(2) Automatic sound and light alarm, and display the current and previous 10 defect images;

　　(3) Real-time defect information display, recording the current defect type, area (diameter), horizontal and vertical position and other information;

　　(4) Basic product information module, which records product batch number, model, specification, shift number, operator and other information (the user can modify it according to the production situation);

　　(5) Real-time meter detection and alarm information display;

　　(6) Automatic classification of defects based on characteristics such as defect area size, shape, grayscale difference;

　　(7) Automatic alarm for periodic and continuous defects;

　　(8) Automatically generate product defect records for each roll of products, and users can directly query according to the batch number;

　　(9) Automatically change rolls and automatically print a quality report of product information for each roll;

　　(10) Functions such as automatic statistics, saving, querying, calling and printing of detection history records;

　　(11) Long-term, large-capacity historical record storage;

　　(12) Automated linkage of production lines, remote technical services, etc.;

　　Note: The software functions can be customized and developed with special functions according to the different requirements of users.

【Field Application】