TY - GEN
T1 - Pick from Here-An interactive mobile cart using in-situ projection for order picking
AU - Funk, Markus
AU - Shirazi, Alireza Sahami
AU - Mayer, Sven
AU - Lischke, Lars
AU - Schmidt, Albrecht
PY - 2015/9/7
Y1 - 2015/9/7
N2 - Order Picking is not only one of the most important but also most mentally demanding and error-prone tasks in the industry. Both stationary and wearable systems have been introduced to facilitate this task. Existing stationary systems are not scalable because of the high cost and wearable systems have issues being accepted by the workers. In this paper, we introduce a mobile camera-projector cart called OrderPickAR, which combines the benefits of both stationary and mobile systems to support order picking through Augmented Reality. Our system dynamically projects in-situ picking information into the storage system and automatically detects when a picking task is done. In a lab study, we compare our system to existing approaches, i.e, Pick-by-Paper, Pick-by-Voice, and Pick-by-Vision. The results show that using the proposed system, order picking is almost twice as fast as other approaches, the error rate is decreased up to 9 times, and mental demands are reduced up to 50%.
AB - Order Picking is not only one of the most important but also most mentally demanding and error-prone tasks in the industry. Both stationary and wearable systems have been introduced to facilitate this task. Existing stationary systems are not scalable because of the high cost and wearable systems have issues being accepted by the workers. In this paper, we introduce a mobile camera-projector cart called OrderPickAR, which combines the benefits of both stationary and mobile systems to support order picking through Augmented Reality. Our system dynamically projects in-situ picking information into the storage system and automatically detects when a picking task is done. In a lab study, we compare our system to existing approaches, i.e, Pick-by-Paper, Pick-by-Voice, and Pick-by-Vision. The results show that using the proposed system, order picking is almost twice as fast as other approaches, the error rate is decreased up to 9 times, and mental demands are reduced up to 50%.
KW - Industrial Augmented Reality
KW - Order Picking
KW - Projected Displays
UR - http://www.scopus.com/inward/record.url?scp=84960917960&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960917960&partnerID=8YFLogxK
U2 - 10.1145/2750858.2804268
DO - 10.1145/2750858.2804268
M3 - Conference contribution
AN - SCOPUS:84960917960
T3 - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 601
EP - 609
BT - UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
T2 - 3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
Y2 - 7 September 2015 through 11 September 2015
ER -