The present application relates to the technical field of
visual detection, and discloses a
visual detection method and
system for injection molding and
bottle blowing based on quality online monitoring, which comprises the following steps: constructing a
cylindrical coordinate system of a
bottle body and a virtual
anchor point array, obtaining a virtual
anchor point reference position
data set, constructing a matching template, obtaining a displacement vector set and a grid defect map; selecting a target area in the grid defect map, establishing an
optical transfer function matrix and combining abnormal pixel distribution data to obtain a
phase difference set and three-dimensional
feature data of defects; establishing a multi-dimensional research and judgment model based on the three-dimensional
feature data of defects, obtaining a key parameter set, and formulating a
data detection method containing a rejection
system and a self-
protection system. The present application realizes
adaptive identification of defects, accurate rejection of unqualified products and self-protection of equipment, and improves the real-time detection and
production line efficiency. The present application solves the problems of fixed area not adapting to dynamic deformation of the
bottle body, misjudgment caused by light interference and large rejection deviation in traditional detection.