In the brewing process, many factors affect the quality↓ of products, such as raw material quality, craft, winemaking techniques, etc. In addition ≤bottle defect (bottle day, the bottle and the bottle) and dirt also ×affect wine quality - a key element. Therefore, the wine must be empty before filling bottles for testing, remove the substandard goods, in order to carry♠ out the wine bottling. At present, the majority of our winery or an empty glass bottle€s with artificial quality testing, inefficient, slow and labor intensive. Machine vi™sion is perfect for high-volume production process measurement, inspection and identificatioπn, in a continuous linear CCD scan line measurement a"pplication is an advantage. Machine vision detection method can greatly improve the÷ degree of automation of production, and machine vision is easy to realize informati∏on integration, can greatly improve product quality, increase p¶roduction efficiency.
So, for glass bottles to detect this with a highly repetitive work,• the application of machine vision to develop a theory of empty bottles to achieve automa♣tic detection device detects the practice of great signi♦ficance. I. Introduction Machine Vision Machine Vision is to use machines instead of human e∑yes do measure and judge. Machine vision systems is through the machine vision product∑s (ie, the image pickup device, two kinds of CMOS a≠nd CCD) will be converted to an image pickup target signal sent to a dedicated image♠ processing system, the pixel distribution and brightness, color and other information♦, change the digitized signal; imaging systems for various operations to these signals to extraλct the characteristics of the target, and then based on σthe results of discrimination to control the action of equipment.