| CPC G06T 7/001 (2013.01) [G06V 10/82 (2022.01); G06T 2207/20084 (2013.01)] | 19 Claims |
|
1. A system for determining a quality category of each of a plurality of sheet parts produced by a manufacturing facility, the system comprising:
an inspection device comprising at least one image capture device, the at least one image capture device configured to capture image data representative of a sheet part of the plurality of sheet parts;
a processing unit having one or more processors, the one or more processors to execute instructions that cause the processing unit to:
provide the image data representative of the sheet part to a first set of a plurality of neural networks, each of the neural networks trained to identify a corresponding defect in the sheet part and output data indicative of the presence of the corresponding defect,
determine data indicative of a quality category of the sheet part based on the data indicative of the presence of the corresponding defect output by each corresponding neural network, and
output the data indicative of the quality category of the sheet part; and
an outlier detection neural network, wherein in response to a determination, based on output of an outlier detection neural network, that the image data representative of the sheet part indicates an outlier defect, the data indicative of the quality category of the sheet part is set to a rework category.
|