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Comparison Computerized Object Recognition Systems
(Farm Machinery Industrial Research Corp, 2013) Sert, E.; Pinar, Y.; Taskin, D.; Taskin, C.; Topcubasi, N.
Nowadays, object recognition automation systems are used in many sectors. Structure of the object recognition system is important for producing correct and rapid results. In this study, object detection systems are designed to classify Starking and Granny Smith type apples and these are compared with each other. Both designed systems are based on the pattern recognition principles. Outputs of object recognition systems are compared with the actual results and it has been observed that suggested system produces high success rate object recognition results. According to this result, it has been determined that the success of MATLAB Simulink object recognition system is 95 percent and success of Harpia object recognition system is 80 percent. Therefore, the MATLAB-based object recognition system produces more stable and clear results.