Colour based identification and sorting of industrial items using Labview

Abstract

This paper focuses on Colour based separation of Industry based products or raw materials using LabVIEW Software for creation of process accurate to Colour identification using Colour Spectrum tool (an add-on of LabVIEW 2023 QI software), various devices used in the project are real-time sensing and actuating devices. Colour Sensing and separation is a very useful application in Food processing, Plastic product based Industries, Marble Industry etc. In this model we use Arduino UNO, USB Webcam, Solenoid Pusher, 12V Electric motor and other Framework modules. This module works based on live action and response type of Industrial process where time is of the essence. LabVIEW software being an integral part of creation of the process and automation, has a number of tools to offer and be used to interface with external devices through wired connection.

Downloads

Download data is not yet available.

References

S. K. Behera, A. K. Rath, A. Mahapatra, and P. K. Sethy, ‘Identification, classification & grading of fruits using machine learning & computer intelligence: a review’, Journal of Ambient Intelligence and Humanized Computing, pp. 1–11, 2020.

J. A. Arat et al., ‘A Novel Implementation of a Color-Based Detection and Tracking Algorithm for an Autonomous Hexacopter’, International Journal of Automation and Smart Technology, vol. 11, no. 1, pp. 2143–2143, 2021.

A. Papavasileiou, G. Michalos, and S. Makris, ‘Quality control in manufacturing--review and challenges on robotic applications’, International Journal of Computer Integrated Manufacturing, pp. 1–37, 2024.

Y. Joba, M. Halahlah, and M. Herbawi, ‘Smart Products Sorting Line Using Computer Vision’, 2023.

M. F. S. Titu, S. M. R. Haque, R. Islam, A. Hossain, M. A. Qayum, and R. Khan, ‘Experiments with cooperative robots that can detect object’s shape, color and size to perform tasks in industrial workplaces’, International Journal of Intelligent Robotics and Applications, pp. 1–14, 2023.

J. Dong, ‘Design of smart operating table based on HCI and virtual visual tracking technology’, International Journal on Interactive Design and Manufacturing (IJIDeM), vol. 18, no. 2, pp. 1019–1031, 2024.

B. N. Mohapatra, A. Walse, D. Patil, and N. Barwade, ‘Data Acquisition System with Different Control Application Strategies Using LabVIEW’, SAR Journal (2619-9955), vol. 6, no. 2, 2023.

B. N. Mohapatra, N. Barwade, A. Walse, and D. Patil, ‘Data acquisition system of temperature measurement using LabVIEW application’, Andalasian International Journal of Applied Science, Engineering and Technology, vol. 3, no. 1, pp. 26–31, 2023.

A. Lakshmi, N. Mahidhar, M. Manoj, and K. Kalyan, ‘Accident avoiding system using multisensors using labview’, Sustainable development in engineering and technology, p. 225, 2022.

L. J. Bradley and N. G. Wright, ‘Electrical measurements and parameter extraction of commercial devices through an automated MATLAB-Arduino system’, IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–9, 2021.

R. Keesey et al., ‘An open-source environmental chamber for materials-stability testing using an optical proxy’, Digital Discovery, vol. 2, no. 2, pp. 422–440, 2023.

Published
2024-07-01
How to Cite
Mohapatra, B. (2024). Colour based identification and sorting of industrial items using Labview. ITEGAM-JETIA, 10(47), 63-67. https://doi.org/10.5935/jetia.v10i47.1085
Section
Articles