METHODS FOR DETECTION ANALYSIS IN QUALITY CONTROL SYSTEM


Abstract

The article contains a description of the quality control system based on optical detection algorithms. It plays an increasingly important in the production process. The development of new systems based on the technology of optical detection methods to a large degree can improve the production process at different stages.


Keywords

segmentation; image analysis; code book algorithm

Blecker T., Kersten W., Lüthje C.: Innovative Process Optimization Methods in Logistics: Emerging Trends, Concepts and Technologies. Erich Schmidt Verlag GmbH & Co KG, 2010.

Kim K., Chalidabhongse T. H., Harwood D., Davis L.: Real-time Foreground-Background Segmentation using Codebook Model. Realtime Imaging 11(3)/2005, 167–256.

Musharavati F.: Process Planning Optimization in Reconfigurable Manufacturing Systems. Universal-Publishers, 2010.

Polakowski K., Filipowicz S.F., Sikora J., Rymarczyk T.: Quality of imaging in multipath tomography. Przeglad Elektrotechniczny 85(12)/2009, 134–136.

Rymarczyk T., Filipowicz S., Sikora J., Polakowski K.: A piecewise-constant minimal partition problem in the image reconstruction. Przegląd Elektrotechniczny 85(12)/2009, 141–143.

Rymarczyk T., Sikora J., Waleska B.: Coupled Boundary Element Method and Level Set Function for Solving Inverse Problem in EIT. 7th World Congress on Industrial Process Tomography, WCIPT7 2013, 312–319.

Polakowski K., Filipowicz S., Sikora J., Rymarczyk T.: Tomography Technology Application for Workflows of Gases Monitoring in The Automotive Systems. Przegląd Elektrotechniczny 84(12)/2008, 227–229.

Saravanan R.: Manufacturing Optimization through Intelligent Techniques. CRC Press, 2006.

Szumowski J., Adamkiewicz P., Rymarczyk T.: Electrical Capacitance Tomography to Optimize Quality Control System. International Interdisciplinary Phd Workshop 2016, 121–124.

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Published : 2018-09-25


Kania, K., & Rymarczyk, T. (2018). METHODS FOR DETECTION ANALYSIS IN QUALITY CONTROL SYSTEM. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 8(3), 35-38. https://doi.org/10.5604/01.3001.0012.5281

Konrad Kania  konrad.kania@netrix.com.pl
Research and Development Center, Netrix S.A., Lublin  Poland
Tomasz Rymarczyk 
1Research and Development Center, Netrix S.A., Lublin, 2University of Economics and Innovation in Lublin  Poland