engleski

LOW COST VISION SYSTEM FOR MACHINE ATTENDANCE

The paper presents the development of the low cost machine vision system based on open source libraries. The system is to be used for pick and place tasks in machine attendance or assembly operations. Application, which runs under Linux based operating systems, and uses hierarchical edge matching algorithm, is developed for this purpose. Experimental results show that object recognition robust to illumination changes can be achieved in partially occluded images, with average computation time of 6 seconds, using inexpensive hardware components. Results also show potential of open source systems as platform for similar industrial applications.

Machine Vision; Object Recognition; Open Source; Pick and Place

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