Paul Anthony Kawka,Stephen Michael Varga,Aitzaz Ahmad
申请号：
US16827823
公开号：
US20200222246A1
申请日:
2020.03.24
申请国别(地区):
US
年份:
2020
代理人:
摘要：
A method for inspecting absorbent articles is provided. The inspection is performed using an inspection algorithm generated with a convolutional neural network having convolutional neural network parameters. The convolutional neural network parameters are generated by a training algorithm. Based on the inspection, characteristics of the absorbent articles, such as defects, can be identified. Absorbent articles having identified characteristics can be rejected, or other actions can be taken.
