no code implementations • 4 Feb 2020 • Mario A. Gutierrez-Mondragon, Dario Garcia-Gasulla, Sergio Alvarez-Napagao, Jaume Brossa-Ordoñez, Rafael Gimenez-Esteban
In this work, we design a methodology to train a Convolutional Neural Network for identifying the level of obstruction in pipes, thus reducing the human effort required on such a frequent and repetitive task.
