Open AccessError Reduction In The Vehicle Wheel Rim Packaging With Image Processing And ANN
Author(s) -
Gokhan Gokay,
Tülay Yıldırım
Publication year - 2019
Publication title -
akıllı sistemler ve uygulamaları dergisi
Language(s) - English
Resource type - Journals
ISSN - 2667-6893
DOI - 10.54856/jiswa.201905069
Subject(s) - pallet , artificial neural network , product (mathematics) , computer science , reduction (mathematics) , image processing , image (mathematics) , carry (investment) , artificial intelligence , automotive engineering , computer vision , engineering , mathematics , mechanical engineering , business , geometry , finance
The product quality is provided by the product control companies during the period from the initial phase. Of manufacturing to packaging in many companies. In this study, it is aimed to carry out product control with an image processing based algorithm to prevent model mixes that are loaded on pallets to be packed and cargoed while being controlled by the operators according to the rim models. In the method, a camera located at a height of 5 meters from the ground is used, and the features of the rims in the ground are extracted trained by using artificial neural networks. Attempted to prevent mixing in the backplane.