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dc.contributor.author OSADCENCO, Alexandru
dc.contributor.author LEADAVSCHI, Vladimir
dc.contributor.author PALAMARI, Daniela
dc.contributor.author LATCOVSCHI, Alexandru
dc.date.accessioned 2021-06-24T07:56:47Z
dc.date.available 2021-06-24T07:56:47Z
dc.date.issued 2021
dc.identifier.citation OSADCENCO, Alexandru, LEADAVSCHI, Vladimir, PALAMARI, Daniela, LATCOVSCHI, Alexandru. Object sorting using computer vision technologies. In: Conferinţa Tehnico-Ştiinţifică a Studenţilor, Masteranzilor şi Doctoranzilor, Universitatea Tehnică a Moldovei, 23-25 martie, 2021. Chişinău, 2021, vol. 1, pp. 271-274. ISBN 978-9975-45-699-9. en_US
dc.identifier.isbn 978-9975-45-699-9
dc.identifier.uri http://repository.utm.md/handle/5014/16227
dc.description.abstract Newly, all activities conducted routinely in the industry have been increasingly favouring robotic automation. Pick and place robots are a type of technology used in the manufacturing industry to conduct operations of picking objects from a point and moving it to another. The system is built in such a way that it prevents human error, resulting in more accurate work. Pick and place robots are built and deployed in a variety of fields, including the packaging industry, food industry, manufacturing industries, and even surveillance to detect and kill explosives. Moreover, robotic arm prototypes serve as an example for those interested in its programming and kinematics, giving them the freedom to create and upgrade it, due to its several software and hardware interactions. en_US
dc.language.iso en en_US
dc.publisher Universitatea Tehnică a Moldovei en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject robotic arm en_US
dc.subject computer vision en_US
dc.subject image processing en_US
dc.subject deep neural network en_US
dc.subject cloud en_US
dc.title Object sorting using computer vision technologies en_US
dc.type Article en_US


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