PET material, in the process of becoming a bottle from the material, there is a very critical process, that is, blow molding. It is the bottle blowing machine that transforms a bottle embryo into a beautiful variety of container shapes. Blowing machine through the high-speed rotation to drive the bottle embryo to achieve molding, conventional 500m beverage bottles, high-speed blowing up to 80,000 bottles per hour, an average of 23 bottles per second. During the molding process, the bottle mouth is also the most vulnerable to defects in the part. If there are defects such as breakage, cut or even deformation, the subsequent filling and capping will lead to poor sealing of the bottle, which will not only cause a lot of waste, but also lead to the deterioration of the internal liquid, so it is particularly important to detect defects in the bottle neck.
Bottle mouth position during detection process:
Bottle mouth detection analysis image:
Intsoft Technology, a machine vision company, has developed a visual inspection system that can realize inspection settings with one key. After the camera captures the product image, you just need to place the image in the inspection area, the software that comes with the automatic positioning function will realize the position compensation in the process of blowing bottles, to ensure that the detection window is only for the bottle to achieve a stable detection of the bottle mouth. PET bottle defects that can be detected include: bottle neck defects, dirty, cut, bottle neck diameter too large or too small, roundness. Inspection speeds range from 7 bottles per second for the standard version to 25 bottles per second for the high-speed version. The industrial camera has a large enough field of view, to achieve a set of hardware compatible with a variety of bottle mouth, bottle mouth diameter range of 28mm to 50mm , to ensure the universality of detection software and hardware. Defect detection accuracy can reach 0.05mm/pixel. for the bottle mouth penetration injury in the precision range can be achieved stable and reliable detection.
