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Application of machine vision in non-woven fabric inspection
by：Sunshine
2021-04-06
The demand for diapers, sanitary napkins and other household papers is constantly increasing, and the market's requirements for the production capacity and quality of non-woven fabrics are constantly improving. Since non-woven fabric is the main base material for diapers and diapers, its serious surface quality will directly affect the quality of finished products and the safety of later users. Due to the current domestic production environment and production process of non-woven fabrics, it is easy to cause defects such as mosquitoes, black spots, metal iron cuts, stains, lumps, impurities, etc. on the surface of the material during the production process. Due to the fast production speed and small defects And other problems, the traditional artificial naked eye inspection can not meet the quality standards of Eisai.
The non-woven stain detector can perform 7*24 hours of high-speed, high-precision online detection of surface defects on the non-woven production line running at high speed, and it can prevent mosquitoes, black spots, impurities, foreign bodies, Defects such as stains and lumps are automatically detected and alarmed. While improving product quality, it saves labor costs and improves the competitiveness of enterprise products. Non-woven fabric stain detector has been recognized by more and more non-woven fabric enterprises, and has become an indispensable part of high-speed, high-quality production.
Detection principle
In view of the uneven thickness of the non-woven fabric, the sparse and uneven structure of the material characteristics and the randomness of the defect distribution (the front, back and middle of the non-woven fabric), the traditional transmission lighting method is likely to cause the system to miss the inspection and False positives. The non-woven stain detector uses a shadowless bright field to form the detection environment, that is, one light source transmits under the material, and the other light source reflects above the material. When the production line starts to run, the CCD camera synchronizes according to the speed signal collected by the encoder Scanning and shooting, the collected images are dynamically segmented through image analysis software algorithms, and the grayscale differences between the flawed image and the normal product are used to find the flaws and perform alarm, statistics, classification, and recording operations.
Technical parameters
Non-woven fabric defect picture
The non-woven stain detector can perform 7*24 hours of high-speed, high-precision online detection of surface defects on the non-woven production line running at high speed, and it can prevent mosquitoes, black spots, impurities, foreign bodies, Defects such as stains and lumps are automatically detected and alarmed. While improving product quality, it saves labor costs and improves the competitiveness of enterprise products. Non-woven fabric stain detector has been recognized by more and more non-woven fabric enterprises, and has become an indispensable part of high-speed, high-quality production.
Detection principle
In view of the uneven thickness of the non-woven fabric, the sparse and uneven structure of the material characteristics and the randomness of the defect distribution (the front, back and middle of the non-woven fabric), the traditional transmission lighting method is likely to cause the system to miss the inspection and False positives. The non-woven stain detector uses a shadowless bright field to form the detection environment, that is, one light source transmits under the material, and the other light source reflects above the material. When the production line starts to run, the CCD camera synchronizes according to the speed signal collected by the encoder Scanning and shooting, the collected images are dynamically segmented through image analysis software algorithms, and the grayscale differences between the flawed image and the normal product are used to find the flaws and perform alarm, statistics, classification, and recording operations.
Technical parameters
Non-woven fabric defect picture
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