首页|University of Debrecen Researcher Releases New Study Findings on Robotics (Image -to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems)
University of Debrecen Researcher Releases New Study Findings on Robotics (Image -to-Image Translation-Based Deep Learning Application for Object Identification in Industrial Robot Systems)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on robotics have been presented. Ac cording to news reporting out of Debrecen, Hungary, by NewsRx editors, research stated, "Industry 4.0 has become one of the most dominant research areas in indu strial science today. Many industrial machinery units do not have modern standar ds that allow for the use of image analysis techniques in their commissioning." Funders for this research include National Research, Development, And Innovation Fund of Hungary. The news editors obtained a quote from the research from University of Debrecen: "Intelligent material handling, sorting, and object recognition are not possibl e with the machinery we have. We therefore propose a novel deep learning approac h for existing robotic devices that can be applied to future robots without modi fication. In the implementation, 3D CAD models of the PCB relay modules to be re cognized are also designed for the implantation machine. Alternatively, we devel oped and manufactured parts for the assembly of aluminum profiles using FDM 3D p rinting technology, specifically for sorting purposes. We also apply deep learni ng algorithms based on the 3D CAD models to generate a dataset of objects for ca tegorization using CGI rendering. We generate two datasets and apply image-to-im age translation techniques to train deep learning algorithms."
University of DebrecenDebrecenHungar yEuropeAlgorithmsEmerging TechnologiesMachine LearningRobotRobotics
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