OCT 24, 2018 06:00 AM PDT

Applied Hyperspectral Imaging Fundamentals and Case Studies

C.E. CREDITS: P.A.C.E. CE | Florida CE
Speakers
  • Full Professor, University of Rome "La Sapienza"
    Biography
      Prof. Giuseppe Bonifazi is Full Professor of Raw Materials beneficiation at the Department of Chemical, Materials and Environment at Sapienza - University of Rome. He has an extensive experience over 25 years on characterization of particulate solids by image processing. Main scientific and technical fields object of investigation: i) study of software and hardware integrated architectures for the synthesis, the classification and the recognition of numeric signals; ii) development and set up of procedures for the identification of objects and material using pattern recognition techniques based on classical and hyperspectral imaging techniques and iii) analysis and the application of methodologies to study and model industrial processes with reference to particulate solids material. His specific expertise in the field of powder and bulk solids includes the development of algorithms, software & hardware architectures to reach the characterizations, with particular reference to particles constituted by several phases and complex textures and morphology.

    Abstract:

    A fast, reliable and low cost characterization of materials/ products as fed to a process, and/or resulting from different processing actions, represents one of the most challenging targets in the industry, with reference to several sectors (i.e. primary and secondary raw materials, environment, food industry, pharmaceutical, etc.). Today, thanks to the strong technological development, different techniques are available according to different sampling strategies and analytical principles to detect specific physical-chemical attributes of materials/products, representing the key factor to perform a full process monitoring and/or to apply specific control/tuning actions on the process itself. The attributes can be determined off-line (e.g. sample collection and laboratory scale analyses) or on-line (e.g. direct collection from the products flow stream of the information of interest). In this Webminar (ID#: 1216951) the principles and the possibilities offered by the adoption of specialized devices allowing to develop on-line acquisition/processing strategies, based on HyperSpectral Imaging (HSI) and finalised to perform materials/products streams characterization, inspection and quality control actions, are presented and discussed.

    Learning Objectives: 

    1. HyperSpectral Imaging (HSI) based techniques fundamentals.
    2. Analytical applicative potentialities of HyperSpectral Imaging (HSI) with reference to both “off-line” and “on-line” applications addressed to qualitatively and quantitatively assess materials and/or products characteristics.


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