In addition to judging whether the packaging is sealed, in order to find the root cause of the problem, it is necessary to further confirm the type and cause of the incomplete seal. However, because the different types of sealing defects are very different, and the surface of the object is highly reflective, it is not easy to find and classify the defects with either the naked eye or automatic optical inspection (AOI).Combining machine vision and artificial intelligence, Solomon uses the Classification tool of SolVision to define the state of good seal from the image and compare it with multiple defects, including incomplete bottom seal, no seal on both bottom and side, and incomplete seal on both bottom and side. It can instantly detect incompletely sealed packages and classify the defects.