Application Research Of Machine Vision Technology On Empty Bottle Inspector

At present the beer enterprises think more and more of the product quality, and more and more enterprises use various automatic detection devices on the filling production line to improve the reliability of inspection. The traditional Empty Bottle Inspection method on filling line is human light detection, but on the modern high-speed filling line , human eyes have series of recessive in the detection link unavoidably, such as tiredness. Therefore, just rely on the traditional manual light detection can not guarantee the reliability of the product, especially the two important parts of the beer bottles-finish and base. It can lead to part blow-by beer and base sully beer inflow the market, and damage the enterprise figure. In aboard "detecting the cleaned empty bottles strictly and accurately has become a very important regulation" , European "HACCP" standard has been the obligation must to be performed by the beer enterprises. Now In aboard Empty Bottle Inspector based on machine vision technology has been mature and entering into the market largely, such as HEUFTHEUFT,KRONES,Miho and KTS. There are no mature equipments in our country.The key image processing technologies about empty bottle inspector researched in this paper are as following:The type electing of image gathering equipment. To guarantee getting image from the locked target on the high speed movement's production line, high resolution,high contrast gradient and the high frame speed rate area array CCD cameras are Selected. The camera works in trigger and asynchronous reset mode and can provide all-pixel-data readout in less than 1/60 seconds. The camera can grasp high quality images of the beer bottle finish and base for sequential processes at the presence of good optics illumination.Inspecting the defects of bottle finishs and bases. The image localization, the key of bottle finish and bottle base flaw inspection lies in the localization of the circle center. The ring edge of the bottle finish is clear and the interfered edge is few, for the localization of the bottle finish circle center, the edge detection with least squares analysis curve fitting is used to search the circle center and the radius. Because the ring edge of the bottle base is not obvious and has knurlings for the localization of the bottle base, circle center the edge detection with finding the gray points changing rapidly locating inside of the knurlings is used. The edge detection with least squares analysis curve fitting is used to search the circle center and the radius. For bottle bases, the quality of the bottles is determined by the length of the white or black circumference.