Wisam T. Abbood1, Hiba K. Hussein1 and Oday I. Abdullah2,3*


1Department of Automated Manufacturing Engineering, University of Baghdad, Baghdad, Iraq

2Energy Engineering Department, University of Baghdad, Baghdad, Iraq Baghdad-Aljadria 47024, Iraq

3Hamburg University of Technology, Hamburg, Germany

*Corresponding Author E-mail: [email protected]

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Many industrial and commercial applications today are beginning to use autonomous systems to increase productivity and reduce costs for production and manpower. Most of these applications are only semi- autonomous, it still needs assistance from a human to start up or receive continual instructions. It can be improve the productivity using the image processing techniques based on the camera processing capabilities and more efficient vehicles. This research paper describes a vision tracking system platform and USB camera that used to make a distinguishing operation applying to real-time video tracking processing for moving product. The industrial camera tracking system is designed to provide tracking and sorting for the products based on the shape quality criterion, which is means reject the product with low quality (bad shape). The platform is used to distinguish different shapes of products and tracking operation. The received video is displayed in the computer through the acquisition video, taking advantage of the toolkit for acquisition video and image processing. It can be determined where the place of the part and detect the product, and then send information to the control system to remove unwanted product.