Online detection of glass bottle crack based on evolutionary neural network and computer vision

摘要

Glass bottle detection is a key job of glass enterprises, and crack detection is one of its important aspects. In this study, evolutionary neural network is combined with computer vision and used in online detection of glass bottle crack An online crack detection method for glass bottle based on evolutionary neural network and computer vision is proposed. The detection system includes image collecting module, image processing module, system controlling module, neural network detecting module, machine-electricity performing module and person-machine alternating module. Its ability to learn itself and adapt itself is very powerful due to the application of evolutionary neural network. We can realize a quick and exact online detection of glass bottle crack successfully by this system.