TY - GEN
T1 - Study on machine vision for fast position tracking of multiple trays on an omnidirectional robotic device
AU - Zambrano, A.
AU - Abe, K.
AU - Combelles, T.
AU - Tadakuma, K.
AU - Tadakuma, R.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - This paper introduces the study on a machine vision system used to detect and track the center position of multiple trays moving on the omnidirectional robotic device for material transportation in industrial environments, even when they are subject to partial occlusion. The performance of the system was evaluated in terms of different degrees of occlusion over the trays and the response time of the software implementation.
AB - This paper introduces the study on a machine vision system used to detect and track the center position of multiple trays moving on the omnidirectional robotic device for material transportation in industrial environments, even when they are subject to partial occlusion. The performance of the system was evaluated in terms of different degrees of occlusion over the trays and the response time of the software implementation.
UR - http://www.scopus.com/inward/record.url?scp=85082586501&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85082586501&partnerID=8YFLogxK
U2 - 10.1109/SII46433.2020.9026181
DO - 10.1109/SII46433.2020.9026181
M3 - Conference contribution
AN - SCOPUS:85082586501
T3 - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
SP - 349
EP - 354
BT - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/SICE International Symposium on System Integration, SII 2020
Y2 - 12 January 2020 through 15 January 2020
ER -