Czasopismo | ELEKTRONIKA - KONSTRUKCJE, TECHNOLOGIE, ZASTOSOWANIA | Rocznik 2016 - zeszyt 11

Investigation of electronic control system using computer vision

10.15199/13.2016.11.20

nr katalogowy: 102449
10.15199/13.2016.11.20

In recent years, great interest has developed in the possibilities for using computer vision systems in a variety of industrial applications. These range from complex inspection or monitoring tasks to supplying precise position for robotic manipulators. The application of this type of management is easily applicable to the management of large mechanical systems. The main objective of the development of such applications is simplifying the functions of feedback and allowing the user to change the values of the system in real time and receive visual representation of the process, which is managed. Keywords: feedback, feedback control system, computer vision, OpenCV, Arduino.In recent years, interest in the possibilities of using computer vision systems in various industrial applications has increased. These applications range from complex tasks for checking and monitoring of processes to supplying precise position for robotic manipulators. The application of this type of control is easily applicable in large mechanical systems. The main objective of the development of such applications is simplifying the functions of feedback and allowing the user to change the values of the system in real time. Industrial automation allows factory owners to increase productivity and profit by eliminating the human factor which tends to be expensive and unreliable. In modern industrial assembly and quality control processes there is a strong need for advanced robot-based object detection and recognition, object grasping and for the capability to perform assembling operations in non-structured environments with randomly positioned objects. As advanced robotic systems are becoming more popular and widespread in many industrial assembly settings, the need for reliable operation with the least possible amount of downtime is a common, expected demand [2, 5, 8]. The purpose of this article is to develop and investigate an Arduino based electronic sys[...]

Bibliografia

[1] Bradski G., A. Kaehler. (2014) Learning OpenCV 2nd Edition, O’Reilly Media.
[2] Chirag I. Patel , Sanjay Garg , Tanish Zaveri , Asim Banerjee, (2014) Top-Down and bottom-up cues based moving object detection for varied background video sequences, Advances in Multimedia, p. 13-13, January 2014.
[3] Garg R., Inderdeep K. Aulakh and Nisha Kumari. (2014) A mathematical model to detect hand object from the scene, Advance Computing Conference (IACC) 2014 IEEE International, pp. 1133-1136.
[4] Ivanov I., A. Manukova. (2012) Algorithm for compare colors to determine the time of occur event in forensics, Workshop “Technology Advances in Renewable Energy", 27-28.11 2012, Constanta, Romania.
[5] Jayaram S., S. Schmugge, M.C. Shin and L.V. Tsap, (2004) Effect of colorspace transformation, the illuminance component, and color modelling on skin detection, Proc of IEEE Computer Vision and Pattern Recognition (CVPR’04), Washington.
[6] Manukova A., I.Ivanov. (2011) Electronic system for processing the electrical resistance of biological tissue in forensics medicine.// Electronics - design, technology, applications, Poland, No 6, pp. 121-124, ISSN 0033-2089.
[7] Patel K.K., Kar A., Jha S.N. et al. (2012) Machine vision system: a tool for quality inspection of food and agricultural products, J Food Sci Technol 49: 123. doi:10.1007/s13197-011-0321-4.
[8] Prasad, S and Sinha, S (2011) Real-time Object Detection and Tracking in an Unknown Environment IEEE Information and Communication Technologies (WICT), World Congress doi:
[978-1-4673-0126-8/11].
[9] Иванов, И. (2011), Структурна схема и алгоритъм на система за съзиране на цветова промяна след електромеханично въздействие. Научни трудове на Русенския Университет, Печатна база на Русенски Университет, стр. 101-105.
[10] Иванов И., А.Манукова, И.Стоянов. (2010), Микропроцесорно управление на електромеханична система за прецизно прилагане на сила на натиск., Научни трудове на Русенски Университет "А. Кънчев", Русе, стр. 137-141.
[11] http://opencv-srf.blogspot.bg/p/opencv-c-tutorials.html (2016).

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