Length Estimation of Moving Objects With Ann and Gripping With Robotic Arm

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dc.authorid0000-0001-5521-2447en_US
dc.authorid0000-0002-0799-2140en_US
dc.contributor.authorUçar, Kürşad
dc.contributor.authorKoçer, Hasan Erdinç
dc.date.accessioned2024-03-04T08:50:24Z
dc.date.available2024-03-04T08:50:24Z
dc.date.issued2023 Aralıken_US
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIt is possible to obtain general information about objects with image processing. However, while measuring the size of objects, especially with 2D cameras, the calibrated systems have been worked with restrictions such as fixed length and distance. However, without depth information and for objects of arbitrary positions and lengths, calculating their dimensions is a rather difficult task. In this study, an ANN-based application was carried out to calculate the amount of movement and the length of the object by viewing the moving objects from the side and top with two cameras. Objects moving on the conveyor belt are detected by deep learning-based YOLO. The motion amount of the object was calculated in the second image with the template created on the detected objects. An ANN is trained with the amount of movement and position information measured by two cameras. At the end of the training, the network estimates the lengths of the objects with small errors. The speed of the objects was calculated according to the calculated length and the targets were grasped with a robot arm.en_US
dc.identifier.citationUçar, K., Koçer, H. E., (2023). Length Estimation of Moving Objects With Ann and Gripping With Robotic Arm. Selcuk University Journal of Engineering Sciences, 22(3), 131-136.en_US
dc.identifier.endpage136en_US
dc.identifier.issn2757-8828en_US
dc.identifier.issue3en_US
dc.identifier.startpage131en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/52418
dc.identifier.volume22en_US
dc.institutionauthorUçar, Kürşad
dc.institutionauthorKoçer, Hasan Erdinç
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesien_US
dc.relation.ispartofSelcuk University Journal of Engineering Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectArtificial Neural Networken_US
dc.subjectGraspingen_US
dc.subjectMoving objecten_US
dc.subjectObject dimensionen_US
dc.titleLength Estimation of Moving Objects With Ann and Gripping With Robotic Armen_US
dc.typeArticleen_US

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