As a very popular decorative material in recent years, plastic flooring is loved by many consumers because of its ease of laying. It is widely used in indoor homes, hospitals, schools, office buildings, factories, public places, supermarkets, commerce, sports venues, etc. Kind of place.Due to the unique advantages of PVC flooring and huge development prospects, many domestic companies have also begun to get involved in the PVC flooring industry, but to gain a market share in this industry, product quality is very important. The traditional quality detection of plastic flooring products requires high-brightness light sources to imitate sunlight to detect the surface of the plastic flooring. The influence of artificial conditions and environmental constraints are very large, so can not get a high accuracy results .

The plastic floor surface defect detection equipment developed by Keye Technology fully exposes the surface of the plastic floor through a high-brightness stroboscopic light source, and uses a high-resolution industrial camera to capture images. The AI intelligent algorithm will automatically learn to observe whether the surface of the floor leather is present. Cracks, breaks and delamination or not, whether there are wrinkle marks, bubble pollution points and pattern deformation, whether there is a missing pattern,whether the defect of the transparent wear-resistant film on the surface, whether there is deviation in the surface multi-color overprinting, and whether there are color differences in different parts , Finally, the appearance quality of the varnished cloth recognized by the above judgments, our equipment can save time and effort, save labor, and improve production efficiency.

【working principle】

When the production line is in normal production, the bright LED linear light source uses the principle of transmission to illuminate the surface of the product. (The surface defect detection angle of the plastic floor product uses the reflection detection principle), and the linear array camera installed on the production line performs real-time synchronous scanning. , At the same time, the system will perform defect segmentation processing on the plastic floor defect images collected by the camera through the KVS image processing unit.

Due to the obvious difference between the gray scale of the flawed image and the gray scale of the normal product, the AI artificial intelligence algorithm is used to enable the system to find and locate the flaws accurately , and effectively judge and classify the flaws at the same time .

Common defect images: