How Vision Inspection Systems Improve Closure Inspection

Cap lining machinery is used to create everyday household products, such as food closures and child-proof caps for medicine. A continuous motion assembly machine to make closures is a quick and efficient way to get work done. Possible defects on closures are missing material and liner defects, so inspections are essential. Utilizing vision inspection systems can significantly improve closure inspections.

When it comes to closure inspection, there are two common approaches. They are as follows:

• Template Method – This method compares an image of a good part to an image of the part being inspected. The images are evaluated, and any differences are reported. When using this method, you show your machine vision system a sufficient number of images of good parts. The vision inspection system creates an average and a variance image using the imported images. The variance image allows for variations in the part’s coloring. This inspection method is not recommended when precise measurements must be taken, or the part cannot be precisely aligned.
• Feature Method – With this method, the vision inspection system measures the parameters of a part, such as dimensions and intensity distributions. These measurements are then used to make a good or bad decision. The image of the inspected part is compared with the image of the known good part. The feature method is ideal when measuring closure dimensions, seal or bead width, and roundness. This method often requires more work as tolerances and measures specific to the closure must be programmed into the inspection vision systems.