Pregled bibliografske jedinice broj: 990986
Teaching the methods of object detection by robot vision
Teaching the methods of object detection by robot vision // 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Rijeka: Institute of Electrical and Electronics Engineers (IEEE), 2018. str. 0558-0563 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 990986 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Teaching the methods of object detection by robot vision
Autori
Seničić, Mladen ; Matijević, Mario ; Nikitović, Milorad
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ - Rijeka : Institute of Electrical and Electronics Engineers (IEEE), 2018, 0558-0563
ISBN
978-953-233-097-7
Skup
41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2018)
Mjesto i datum
Opatija, Hrvatska, 21.05.2018. - 25.05.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
robot vision ; image analysis ; Scorbot ; Scorbase ; ViewFlex ; blob, pattern ; Matrox Inspector ; teaching ; robotic arm ; object recognition
Sažetak
Abstract - This paper presents two methods of object recognition by a robot vision which is being used to educate the students. This includes the basic manipulation of objects using the robotic arm. It describes the procedures needed for setting up the appropriate environment for object recognition and for each method gives the basic examples of practical usage of robot vision. The part of robot vision is accomplished by using a USB camera and software named the Image Inspector for the image analysis, and the ViewFlex is used to interconnect the output data from the Image Inspector and robotic arm. The robotic arm used in the described methods is SCORBOT ER-4U, which is a didactic manipulator. The first presented method uses the blob analysis where the size of the blob conditions object detection and the second uses the pattern matching. The students should be aware of a core problem, which is the relationship between the real three-dimensional space and take an image of an object in the reduced robot working area. The right approach and wide teaching of methods for the robot vision will surely increase a chance for rapid improvement of the existing technology.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Visoka škola za informacijske tehnologije, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus