Technical vision system for quality control of objects of the ball-shaped form when sorting on the conveyor

Autor:	P. V. Balabanov, A G Divin, E V Trapeznikov, A. S. Egorov, P S Belyaev, Y A Zaharov, V. A. Yudaev, Nseno-Pemby Don-Uni
Rok vydání:	2020
Předmět:	History Machine vision Computer science business.industry Process automation system Object detection Computer Science Applications Education Software Visible range Ball (bearing) Spectrogram Computer vision Artificial intelligence business Cascading classifiers
Zdroj:	Journal of Physics: Conference Series. 1546:012001
ISSN:	1742-6596 1742-6588
DOI:	10.1088/1742-6596/1546/1/012001
Popis:	A functional diagram of a robotic complex mock-up for rejecting ball-shaped objects transported on a roller conveyor is presented. The software of the complex is designed to detect an object on the conveyor and determine its coordinates. To detect objects of control, their images obtained in the visible range of the optical spectrum and Viola–Jones object detection algorithms are employed. The developed software is based on a trained cascade classifier, the optimal settings of which are determined. To detect surface defects of objects, their spectrograms obtained in the range of 400… 1000 nm are used. The presented results can be applied to the process automation of sorting fruits and vegetables and other ball-shaped objects.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4cda9d1170a49e91a867e4fe3b9d50fc https://doi.org/10.1088/1742-6596/1546/1/012001 Zobrazit plný text záznamu