![\"Call](\"https:\/\/ingegraf.es\/wp-content\/uploads\/2016\/10\/Papers-1-1024x412.jpg\")
<\/a><\/p>\n\u0017The recent advances in vision based sensors and systems have provided innovative solutions in the \u009deld of industrial engineering. Several industrial activities have bene\u009dted from the application of image based technology. \u0017ese activities spread along all the product lifecycles and include the design stage (e.g., reverse engineering), manufacturing (e.g., machine vision for automation or custom product development), and quality control. Vision based sensors and systems improve productivity and quality management and provide a competitive advantage to industries that employ these technologies.<\/p>\n
Th\u0017is special issue of sensors will focus on all innovative aspects of the research and development related to this \u009deld. Original research papers that focus on the design and experimental veri\u009dcation of new sensors and imaging systems, as well as papers that focus on their testing for industrial applications, are welcome.<\/p>\n
We invite authors to contribute both reviews and original research articles that will illustrate and stimulate the continuing research in this \u009deld of the industrial engineering. Reviews should provide an up-to-date overview of the current state of the art in a particular application and include main results from several research groups.<\/p>\n
Potential topics include but are not limited to the following:<\/p>\n
Reverse Engineering
\nMachine vision
\nPattern recognition
\nAutomated inspection
\nQuality control
\nOptical methods in experimental mechanics
\nBioimaging<\/strong><\/p><\/blockquote>\nLead Guest Editor
\nArmando V. Razionale, University of
\nPisa, Pisa, Italy
\na.razionale@ing.unipi.it
\nGuest Editors
\nRikardo Minguez, University of the
\nBasque Country, Spain
\nrikardo.minguez@ehu.eus
\nVincenzo Nigrelli, University of
\nPalermo, Palermo, Italy
\nvincenzo.nigrelli@unipa.it
\nLuca Di Angelo, University of L\u2019Aquila,
\nL\u2019Aquila, Italy
\nluca.diangelo@univaq.it<\/p>\nManuscript Due<\/strong>
\nFriday, 10 March 2017<\/p>\nFirst Round of Reviews<\/strong>
\nFriday, 2 June 2017<\/p>\nPublication Date<\/strong>
\nFriday, 28 July 2017<\/p>\nAuthors can submit their manuscripts through the Manuscript Tracking System at
\nhttp:\/\/mts.hindawi.com\/submit\/journals\/js\/vbsi\/<\/a>.<\/strong><\/p>\nPDF LINK<\/a><\/strong><\/p><\/blockquote>\n<\/blockquote>\n","protected":false},"excerpt":{"rendered":"
\u0017The recent advances in vision based sensors and systems have provided innovative solutions in the \u009deld of industrial engineering. Several industrial activities have bene\u009dted from the application of image based technology. \u0017ese activities spread along all the product lifecycles and include the design stage (e.g., reverse engineering), manufacturing (e.g., machine vision for automation or … Seguir leyendo Special Issue on Vision Based Sensors and Systems in Industrial Engineering<\/span>