2D Cam Capture: An Optimal Real-Time Dimension Measurement System
Venkatesan.B1, Sudharsan.T2, Sugitha.S3, Sumithaa.S4, Swarga.S.R5
1Venkatesan.B, Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India.
2Sudharsan.T, Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India.
3Sugitha.S, Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India.
4Sumithaa.S, Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India.
5Swarga.S.R, Department of Electronics and Instrumentation, Kongu Engineering College, Perundurai, Erode, India.
Manuscript received on November 11, 2019. | Revised Manuscript received on November 20 2019. | Manuscript published on 30 November, 2019. | PP: 10856-10862 | Volume-8 Issue-4, November 2019. | Retrieval Number: D4381118419/2019©BEIESP | DOI: 10.35940/ijrte.D4381.118419
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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: In the textile industry, dimension measurement of patterns plays a major role to obtain a perfect fit for a garment. The process of obtaining the measurements must be fast enough with high accuracy to avoid wastage of materials and also to ensure customer satisfaction. Currently digitizer is used to do the measurements of industrial patterns in textile industries. The existing digitizer has certain disadvantages which include high investment and less accuracy due to manual intervention for coordinate mapping. In recent trends image processing is a growing tool to analyse and process the image captured by a camera, which plays the major role in quality control system and material inspection system in various industries. The proposed method acts as a pinch-hitting to the conventional processes by providing a 2D Cam Capture algorithm using sequence of image processing techniques. This eases the measuring process by providing accurate dimensions of multi shapes without any distortion. This computer vision-based system involves capturing the image, processing and shape analysis using pixel calculation algorithm thereby providing accurate measurements. 2D Cam Capture provides an accuracy of 98.6% obtained from 245 samples at a minimum rate of 189.90 ms per iteration.It is cost effective by using a camera and it ease the process of capturing multi shapes without any shape distortion. This method increases accuracy and let the user to achieve their time schedule by way of increasing the productivity.
Keywords: Digitization, Image Processing, Image Analysis and Pixel Count, Dimension Measurement.
Scope of the Article: Signal and Image Processing.