Machine vision surface defect detection
Nowadays, manufacturers have higher and higher requirements for product quality. In addition to meeting the requirements for performance, they also need to have good appearance, that is, good surface quality. However, in the process of manufacturing products, the occurrence of surface defects is often inevitable. Surface defects of different products have different definitions and types. Generally speaking, surface defects are areas with uneven physical or chemical properties on the surface of the product, such as damage, inclusions, stains on non-metal surfaces such as glass, spots and scratches on metal surfaces. , Holes, color differences on the surface of the paper, indentations, etc.Manual detection is the traditional detection method for product surface defects. This method has low sampling rate, low accuracy, poor real-time performance, low efficiency, high labor intensity, and is greatly affected by artificial experience and subjective factors. The detection method based on machine vision can To a large extent overcome these drawbacks.
Surface defects not only affect the aesthetics and comfort of the product, but also generally have an adverse effect on its use performance. Therefore, manufacturers attach great importance to the detection of surface defects of products in order to find them in time to effectively control product quality. Result analysis of some problems in the production process to prevent or reduce the occurrence of defective products
Machine vision inspection system
The application of surface defect detection system improves the accuracy and efficiency of inspection.
First, use the image acquisition system to collect and analyze the texture images on the image surface;
Second, step-by-step segmentation processing is performed on the collected images, so that product surface defects can be classified according to their unique regional characteristics;
Third, the target area of the scratch is further analyzed in the above classified areas, so that the range is more accurate and precise.
After the above three-step processing, the product surface defect area and characteristics can be further confirmed, so the basic steps of surface defect detection are completed.
Machine vision detection technology is used in flow detection, drug packaging detection, beverage capacity detection and outer packaging detection, tobacco smoke label detection and outer packaging detection, automobile installation detection, print quality detection for printing, textile fabric defect detection, Screw inspection of hardware, cargo sorting of transport occupations, fruit sorting of food, electronic welding inspection and installation positioning, steel plate appearance defect detection of steel, mobile phone screen detection, etc. all have applications.
Machine vision inspection technology, based on the visual inspection skills of machine vision picture disposal skills, automatically detects the entire product. It has a very important effect on controlling product quality and ensuring product quality. It can prevent the outflow of substandard products and prevent potential trade disputes. To maintain corporate honor.