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Conference Object Face Detection Algorithm With Facial Feature Extraction for Face Recognition System(Mechatronics and Machine Vision in Practice, 2013) Gürel,C.; Erden,A.A face recognition system is one of the biometric information processes, its applicability is easier and working range is wider than other systems like; fingerprint, iris scanning, signature, etc. The detection methods are designed to extract features of face region out of a digital image. The output face image of the detection algorithm should be similar to the recognition input image. Face detection is performed on live acquired images without any application field in mind. The developed system uses white balance correction, skin like region segmentation, facial feature extraction and face image extraction on a face candidate. System is also capable of detecting multiple faces in live acquired images.Conference Object Citation - Scopus: 4Conceptual Design of a Rose Harvesting Robot for Greenhouses(2013) Gürel,C.; Erden,A.Agricultural applications has made over thousands years, and the entire processes dependent to people. The dependency increases the labor time of the process and as well as cost of the products. To overcome this problem, the automated systems on the agricultural processes are needed in the place of humans. Many implementations are made on the harvesting processes in different products, i.e., rose, apple, cherry, strawberry, etc. which shows the importance of automation in the harvesting. The company needs a system that makes harvesting of the roses instead of human in greenhouse. Conceptual design of rose harvesting robot is given in this paper which is covers need, intended users, functions and top level intelligence algorithm.Conference Object A Mechatronic Load Testing Equipment(2013) Yildiran,H.O.; Gürel,C.In a Project given to 2nd year students in Engineering Mechanics I (Statics) course the students are required to make calculations and prototype of a spring link- rigid body link weight carrying body with concurrent forces in 2D. Unfortunately the student had problems in visualization of the problem and also the solution. In this paper a prototype is shown (manufactured) which have an output of the results so as to use these results in checking calculation and visualization of the system in a lab environment study. Results are given to the students as: Theoretical, mechanical, through potentiometric device readings and by image processing. By this test apparatus, students change connection points and the weights and make the calculations to find forces in elements, displacement of spring and the angles that links make with horizontal. They see the results as; change in length of spring, the forces in each member visually on LCD (PC) and compare their results. The main object of this equipment, is to make Mechatronics Engineering students understand the problem better, check their results, meet with future mechatronic devices they will see in their following semesters and have an understanding of what mechatronic systems are.Conference Object Rose Stem Branch Point Detection and Cutting Point Location for Rose Harvesting Robot(Mechatronics and Machine Vision in Practice, 2015) Gürel,C.; Hassan,M.; Zadeh,G.; Erden,A.The primary objective of the study is to develop a method that can locate the proper location of cutting point of rose stem for robotic rose harvesting. Stem tracking and cutting operation are achieved using with the help of stereo vision techniques. The cutting point has a vital importance for cut rose harvesting in greenhouse which affects the efficiency of new shoot from the cut stem. In agricultural process, the cutting point depends on thickness of stem and eye on stem. Locating the eye is difficult by image processing thus another relation for cut point estimation was performed. The relation between thickness and cut length can lead to relation for cut point estimation. 239 data is collected from a greenhouse and linear relation with some deviation was acquired. To perform this relation, branch point location algorithm was developed. The proposed algorithm has three steps: branch point detection; thickness calculation; and cutting length estimation. The algorithm for branch detection performs quite well to detect and locate the position of the point when there occur no overlapping. The results of branch point detection are adequate for implementing to the robot. © 2015, Mechatronics and Machine Vision in Practice. All rights reserved.
