Bond quality assessment system

A bond quality assessment system comprising:

• a memory for storing machine-readable instructions;
• and
• a processor core for accessing the machine-readable instructions and executing the machine-readable instructions as operations, the operations comprising:
• receiving an input image of a vehicle component having adhesive bonding at a surface of the vehicle component;
• causing a neural network to:
• generate a set of surface features having one or more surface features on the surface of the vehicle component based on a set of training images;
• classify one or more of the surface features of the set of surface features as one or more inadequate coverage regions of the adhesive bonding on the surface of the vehicle component;
• generate a mapping of the one or more inadequate coverage regions;
• and
• predict a coverage score for the vehicle component based on the one or more inadequate coverage regions;
• and
• applying a set of rules to the one or more inadequate coverage regions and the coverage score to generate a bond quality assessment of the vehicle component;
• executing a vehicle component fabrication plan in response to the bond quality assessment;
• and
• increasing flow to a specific spray device to provide additional adhesive bonding at the surface of the vehicle component to at least one of the one or more inadequate coverage regions.

A method for bond quality assessment, the method comprising:

• receiving, at a segmentation module of a computing device, an input image of a vehicle component having adhesive bonding at a surface of the vehicle component;
• generating, by the segmentation module of the computing device, a set of surface features having one or more surface features on the surface of the vehicle component based on a set of training images;
• classifying, by the segmentation module of the computing device, one or more of the surface features of the set of surface features as one or more inadequate coverage regions of the adhesive bonding on the surface of the vehicle component;
• generating, by the segmentation module of the computing device, a mapping of the one or more inadequate coverage regions;
• and
• predicting, by an assessment module of the computing device, a coverage score for the vehicle component based on the one or more inadequate coverage regions;
• and
• applying, by a trigger module of the computing device, a set of rules to the mapping and the coverage score to generate a bond quality assessment of the vehicle component;
• executing a vehicle component fabrication plan, of an execution module of operational system, in response to the bond quality assessment;
• and
• increasing flow to a specific spray device to provide additional adhesive bonding at the surface of the vehicle component to at least one of the one or more inadequate coverage regions.