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Transfer Learning for Facial Emotion Recognition on Small Datasets Paolo Barile , Clara Bassano , Paolo Piciocchi (pages: 1-5) How to Link Educational Purposes and Immersive Video Games Development? An Ontological Approach Proposal Nathan Aky (pages: 6-13) Application of Building Information Modeling (BIM) in the Planning and Construction of a Building Renata Maria Abrantes Baracho , Luiz Gustavo da Silva Santiago , Antonio Tagore Assumpção Mendoza e Silva , Marcelo Franco Porto (pages: 14-19) Transformative, Transdisciplinary, Transcendent Digital Education: Synergy, Sustainability and Calamity Rusudan Makhachashvili , Ivan Semenist (pages: 20-27) New Online Tools for the Data Visualization of Bivalve Molluscs' Production Areas of Veneto Region Eleonora Franzago , Claudia Casarotto , Matteo Trolese , Marica Toson , Mirko Ruzza , Manuela Dalla Pozza , Grazia Manca , Giuseppe Arcangeli , Nicola Ferrè , Laura Bille (pages: 28-32) Geodata Processing Methodology on GIS Platforms When Creating Spatial Development Plans of Territorial Communities: Case of Ukraine Olena Kopishynska , Yurii Utkin , Ihor Sliusar , Leonid Flehantov , Mykola Somych , Oksana Yakovlieva , Olena Scryl (pages: 33-40) D-CIDE: An Interactive Code Learning Program Lukas Grant , Matthew F. Tennyson , Jason Owen (pages: 41-46) Interdisciplinary Digital Skills Development for Educational Communication: Emergency and Ai-Enhanced Digitization Rusudan Makhachashvili , Ivan Semenist , Ganna Prihodko , Irina Kolegaeva , Olexandra Prykhodchenko , Olena Tupakhina (pages: 47-51) Interdisciplinarity in Smart Systems Applied to Rural School Transport in Brazil Renata Maria Abrantes Baracho , Mozart Joaquim Magalhães Vidigal , Marcelo Franco Porto , Beatriz Couto (pages: 52-59) Peculiarities of the Realization of IT Projects for the Implementation of ERP Systems on the Path of Digitalization of Territorial Communities Activities Olena Kopishynska , Yurii Utkin , Ihor Sliusar , Khanlar Makhmudov , Olena Kalashnyk , Svitlana Moroz , Olena Kyrychenko (pages: 60-67)
ABSTRACT
Applying Ant Colony Algorithm and Neural Network Model to Color Deviation Defect Detection in Liquid Crystal Displays
Thin Film Transistor Liquid Crystal Display (TFT-LCD) has excellent properties such as lower voltage to start and less occupied space if comparing with traditional Cathode-Ray Tube (CRT). But screen flaw points and display color deviation defects on image display exist in TFT-LCD products. This research proposes a new automated visual inspection method to solve the problems. We first use multivariate Hotelling T2 statistic for integrating coordinates of color models to construct a T2 energy diagram for inspecting defects and controlling patterns in TFT-LCD display images. An Ant Colony based approach that integrates computer vision techniques is developed to detect the flaw point defects. Then, Back Propagation Network (BPN) model is proposed to inspect small deviation defects of the LCD display colors. Experimental results show the proposed system can provide good effects and practicality.
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