Application in quality testing of glass bottles

In the production of glass bottles, because of the complexity of the production process, there will inevitably be a variety of defective products, adding a more serious danger to the quality of the product. In order to be able to the factory quality of the product, the producer generally with the help of a large number of manual inspection to select the waste. However, manual inspection is slow, must consume a lot of manpower, material resources and on-site network resources, the human eye after a long period of work is very easy to appear tired and careless, so can not reasonably ensure the quality of the product.

Due to the development of computer technology, more and more companies are applying machine vision inspection technology to replace the manual quality inspection, and can also systematically set up inspection specifications without regard to subjective reasons. It can carry out software testing, industrial production automation technology, and intelligent development in a continuous, accurate, and reliable manner.

Main Inspection Indicators

Specification detection, bottle appearance defects, bottle bottom defects, bottle shoulder defects, gaps, cracks, round mouth inequality and other defects.

Working principle of machine vision

Machine vision inspection system refers to the machine vision products (CMOS and CCD) to shoot the target object is converted to image data signals, conveyed to a dedicated image processing system, based on the clarity throughout and chromaticity and other conditions are converted to digital signals of the power system software. The image system carries out certain calculations on such data signals, obtains the overall target characteristics, manipulates the individual behavior of on-site equipment on the basis of the identification conclusion, carries out the visual effect detection, size detection, defect detection, system localization and so on.

Advantages of Glass Bottle Quality in Machine Vision Inspection

Intelligent manufacturing production process to detect products than the manual detection of high efficiency, accuracy, performance and stability, with digital management, information integration, to avoid secondary contamination by human factors, to prevent contact with the product, detection in harsh environments, long-term use of low-cost. Can be said to be widely used in industrial production, agriculture and animal husbandry, transportation, medicine and other industries, penetrating our lives, manufacturing, all aspects of work.