Articolul precedent |
Articolul urmator |
268 1 |
Ultima descărcare din IBN: 2021-10-27 01:45 |
SM ISO690:2012 OSADCENCO, Alexandru, LEADAVSCHI, Vladimir, PALAMARI, Daniela, LATCOVSCHI, Alexandru. Object sorting using computer vision technologies. In: Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor, 23-25 martie 2021, Chișinău. Chișinău, Republica Moldova: Tehnica-UTM, 2021, Vol.1, pp. 271-274. ISBN 978-9975-45-700-2 (Vol. I). |
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Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor Vol.1, 2021 |
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Conferința "Conferinţa tehnico-ştiinţifică a studenţilor, masteranzilor şi doctoranzilor" Chișinău, Moldova, 23-25 martie 2021 | ||||||
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Pag. 271-274 | ||||||
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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. |
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Cuvinte-cheie robotic arm, computer vision, image processing, deep neural network, cloud, tensorflow, degrees of freedom. |
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