[Pycon] [new paper] "Roberto Moscetti" - RECOGNITION OF INLET WET FOOD TO DRYING PROCESS THROUGH A DEEP LEARNING APPROACH

[info a pycon.it]

Title: RECOGNITION OF INLET WET FOOD TO DRYING PROCESS THROUGH A DEEP LEARNING APPROACH
Duration: 45 (includes Q&A)
Q&A Session: 15
Language: it
Type: Talk

Abstract: Deep learning was tested for its feasibility as computer-vision tool for the analysis of inlet wet food to drying process. In details, convolutional neural networks (CNNs) were successfully applied for addressing the following tasks: (i) the semantic image segmentation of the inlet product (i.e., recognition between background and product pixels); (ii) the inlet product classification through its segmented image; (iii) the automated selection of optimal settings of drying process parameters.

Tags: [u'cv', u'Python', u'iPython', u'Artificial Intelligence']