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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Al-Ihkam: Jurnal Hukum dan Pranata Sosial EMITTER International Journal of Engineering Technology Indonesian Journal of Information System Journal of Applied Data Sciences Andalasian International Journal of Applied Science, Engineering, and Technology Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) International Journal of Islamic Economics (IJIE)
Anton Satria Prabuwono
Faculty of Computing and Information Technology, King Abdulaziz University, Rabigh 21911,
Religion Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering

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Applicationof Computer Visionfor Polishing RobotinAutomotive Manufacturing Industries Besari, Adnan Rachmat Anom; Zamri, Ruzaidi; Palil, Md. Dan Md.; Prabuwono, Anton Satria
EMITTER International Journal of Engineering Technology Vol 2 No 2 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v2i2.22

Abstract

Polishing is a highly skilled manufacturing process with a lot of constraints and interaction with environment. In general, the purpose of polishing is to get the uniform surface roughness distributed evenly throughout part’s surface. In order to reduce the polishing time and cope with the shortage of skilled workers, robotic polishing technology has been investigated. This paper studies about vision system to measure surface defects that have been characterized to some level of surface roughness. The surface defects data have learned using artificial neural networks to give a decision in order to move the actuator of arm robot. Force and rotation time have chosen as output parameters of artificial neural networks. Results shows that although there is a considerable change in both parameter values acquired from vision data compared to real data, it is still possible to obtain surface defects characterization using vision sensor to a certain limit of accuracy. The overall results of this research would encourage further developments in this area to achieve robust computer vision based surface measurement systems for industrial robotic, especially in polishing process.Keywords: polishing robot, vision sensor, surface defects, and artificial neural networks
Co-Authors Abdul Aziz Adnan Rachmat Anom Besari, Adnan Rachmat Anom Andiko Putro Suryotomo Andri Pranolo Anton Yudhana Drezewski, Rafal Eko Winarto Hamida, Busra Nur Hasbi , M. Zidny Nafi Ida Ayu Putu Sri Widnyani Imam Tahyudin Japkowicz, Nathalie Kaswijanti, Wilis Khaliduzzaman, Alin Md. Dan Md. Palil, Md. Dan Md. Nazwan, Nazwan Nurwijayanti Pawenary, Pawenary Pernanda, Suko Tyas Prima Fithri PUJI LESTARI Putra, Abim Dwi Putra, Seno Aji Putri, Nurul Wulandari R Rizal Isnanto Rozak, Rofik Abdul Ruzaidi Zamri, Ruzaidi Saifullah, Shoffan Samsudin Syam, Roqiyul Ma'arif Taqwa Hariguna Tikaningsih, Ades Tri Raharjo Yudantoro Wiktasari Wiktasari, Wiktasari