International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org

Call for Paper, Published Articles, Indexing Infromation An Efficient Automated ColourBased Customized Product Collation System, Authors : J. Pradeep, A. Lakshmi Narayanan, M. Harikrishan, S. Pushparaj, K. Uthayasuriyan, International Journal of Application or Innovation in Engineering & Management (IJAIEM), www.ijaiem.org
Volume & Issue no: Volume 7, Issue 12, December 2018

Title:
An Efficient Automated ColourBased Customized Product Collation System
Author Name:
J. Pradeep, A. Lakshmi Narayanan, M. Harikrishan, S. Pushparaj, K. Uthayasuriyan
Abstract:
ABSTRACT In industries, the process of collating a product in manual operation, it consumes more time and also it occupies more storage space. In this paper, a colour based automated collation system is proposed, by means of considering the number of product count based on the customers need for the machine perform. The colour identification is done with the help of ambient proximity digital sensor, which execute through combination of RGB (red, green, blue) in presence of surrounding light conditions. The count of a product is calculated using IR sensor, when it moving through the conveyor belt.At last the products is collected through stepper motor which rotates a disk. In the paper, the system uses three colour products with four boxes in the rotating disk for collecting the particular colour in the mentioned boxes. Out of four boxes, three boxes for the different colour product and remaining one box for the excess product in line. The proposed system is design and implemented using raspberry pi board. The obtainedresultsarediscussedand it is compared with other colour sensor based system.
Cite this article:
J. Pradeep, A. Lakshmi Narayanan, M. Harikrishan, S. Pushparaj, K. Uthayasuriyan , " An Efficient Automated ColourBased Customized Product Collation System " , International Journal of Application or Innovation in Engineering & Management (IJAIEM), Volume 7, Issue 12, December 2018 , pp. 036-044 , ISSN 2319 - 4847.
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