MACHINE VISION FOR CHARACTERIZATION BASED ON ANALYTICAL DATA

摘要

Machine vision technology can be used to predict a property of a product generated by a chemical process. The prediction can be based on an analytical characterization of the chemical process or the product generated by the chemical process with a detector that generates series data. The series data can be converted to an image and input to an artificial neural network (ANN) trained to predict the property of the product based on the image. A prediction of a property of the product can be received from the ANN and used to adjust the chemical process or to determine whether to reject the product.