Low Cost Computer Vision based Shape Detection in Textile Industries with Robotic Arm
R. JothiChitra

R.JothiChitra, Department of ECE, Velammal Institute of Technology, Chennai, Tamilnadu, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 5311-5314 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2963109119/2019©BEIESP | DOI: 10.35940/ijeat.A2963.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents low cost automation system for textile industries where colour and shape are detected along with pick and place robotic arm. Edge detection techniques and Contour approximation algorithmare used for pattern detection. The main goal is to count the number of samples of each pattern or shapes. This system makes use of raspberry pi with a PI camera. The PI cam is used for capturing the image of the textiles being moved on a conveyor belt. The system is programmed using open CV platform. The simulation results using OpenCV environment coded with Python are presented.
Keywords: Automation, Pattern Identification, Robotic arm, segmentation.