Model design and simulation of automatic sorting machine using proximity sensor

Abstract The automatic sorting system has been reported to be complex and a global problem. This is because of the inability of sorting machines to incorporate flexibility in their design concept. This research therefore designed and developed an automated sorting object of a conveyor belt. The developed automated sorting machine is able to incorporate flexibility and separate species of non-ferrous metal objects and at the same time move objects automatically to the basket as defined by the regulation of the Programmable Logic Controllers (PLC) with a capacitive proximity sensor to detect a value range of objects. The result obtained shows that plastic, wood, and steel were sorted into their respective and correct position with an average, sorting, time of 9.903 s, 14.072 s and 18.648 s respectively. The proposed developed model of this research could be adopted at any institution or industries, whose practices are based on mechatronics engineering systems. This is to guide the industrial sector in sorting of object and teaching aid to institutions and hence produce the list of classified materials according to the enabled sorting program commands.

[1]  Wenchang Zhang,et al.  Design and Development of a High Speed Sorting System Based on Machine Vision Guiding , 2012 .

[2]  Kesheng Wu,et al.  Fast connected-component labeling , 2009, Pattern Recognit..

[3]  Hadi Seyedarabi,et al.  Study on an automatic sorting system for Date fruits , 2015 .

[4]  Yong-Bin Zhang,et al.  A Mechanical Part Sorting System Based on Computer Vision , 2008, 2008 International Conference on Computer Science and Software Engineering.

[5]  Guillaume Mernier,et al.  Label-free Sorting and Counting of Yeast Cells for Viability Studies , 2009 .

[6]  De Xu,et al.  Automatic gear sorting system based on monocular vision , 2015 .

[7]  E. P. Furlani,et al.  Magnetophoretic separation of blood cells at the microscale , 2006, physics/0612005.

[8]  M. A. Massoud,et al.  Automated new license plate recognition in Egypt , 2013 .

[9]  Yan Hua.  Small Module Plastic Gear On-Line Detection Based on Machine Vision , 2011 .

[10]  Han,et al.  Paramagnetic capture mode magnetophoretic microseparator for blood cells , 2005 .

[11]  David Zhang,et al.  Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems , 2015, IEEE Transactions on Instrumentation and Measurement.

[12]  Thomas Braschler,et al.  Continuous separation of cells by balanced dielectrophoretic forces at multiple frequencies. , 2008, Lab on a chip.

[13]  Che-Hsin Lin,et al.  Microfluidic cell counter/sorter utilizing multiple particle tracing technique and optically switching approach , 2008, Biomedical microdevices.

[14]  Mila Nikolova,et al.  Algorithms for Finding Global Minimizers of Image Segmentation and Denoising Models , 2006, SIAM J. Appl. Math..

[15]  Charless C. Fowlkes,et al.  Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  Ahmad Kamal Hassan,et al.  Modeling and performance optimization of automated antenna alignment for telecommunication transceivers , 2015 .

[17]  Daniela Tuparova,et al.  Teaching Sorting and Searching Algorithms through Simulation-based Learning Objects in an Introductory Programming Course☆ , 2014 .

[18]  David Zhang,et al.  A survey of graph theoretical approaches to image segmentation , 2013, Pattern Recognit..

[19]  Kalsom Salleh,et al.  Audit Rotation and Audit Report: Empirical Evidence from Malaysian PLCs over the Period of Ten Years☆ , 2014 .

[20]  Constantin Zopounidis,et al.  Multicriteria classification and sorting methods: A literature review , 2002, Eur. J. Oper. Res..

[21]  P. Renaud,et al.  Focusing and Continuous Separation of Cells in a Microfluidic Device using Lateral Dielectrophoresis , 2007, TRANSDUCERS 2007 - 2007 International Solid-State Sensors, Actuators and Microsystems Conference.

[22]  Dah-Jye Lee,et al.  Rapid Color Grading for Fruit Quality Evaluation Using Direct Color Mapping , 2011, IEEE Transactions on Automation Science and Engineering.

[23]  Nuno Nogueira,et al.  Dielectrophoretic sorting on a microfabricated flow cytometer: label free separation of Babesia bovis infected erythrocytes. , 2008, Bioelectrochemistry.

[24]  David Zhang,et al.  LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation , 2016, IEEE Transactions on Image Processing.

[25]  N. Peng,et al.  Measurement and control system for cryogenic helium gas bearing turbo-expander experimental platform based on Siemens PLC S7-300 , 2014 .

[26]  Khalid A. Al-Gaadi,et al.  DEVELOPMENT OF AN ELECTRONIC SENSOR FOR DATE SORTING BASED ON MOISTURE CONTENT , 2009 .

[27]  Rajesh Elara Mohan,et al.  Designing the robot inclusive space challenge , 2015, Digit. Commun. Networks.

[28]  A. Hobani,et al.  Development of a Neural Network Classifier for Date Fruit Varieties Using Some Physical Attributes , 2003 .

[29]  Lei Zhang,et al.  Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose , 2014, IEEE Transactions on Instrumentation and Measurement.

[30]  Weihua Li,et al.  Feature extraction and classification of gear faults using principal component analysis , 2003 .

[31]  Qi Ye,et al.  Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine , 2012 .

[32]  T. Liao,et al.  A cell counting/sorting system incorporated with a microfabricated flow cytometer chip , 2006 .

[33]  Gwo-Bin Lee,et al.  Optically induced flow cytometry for continuous microparticle counting and sorting. , 2008, Biosensors & bioelectronics.