It is necessary to increase the productivity in every shipyard. To visualize the actual work status in any industrial activity, the observation of the work being performed is essential. However, current work observation requires both time and labor and some cases, shipyards hesitate to implement work observation. The aim of this study is to develop a new work observation method by use of deep neural networks to reduce the disadvantages of current work observation approaches while improving the accuracy of work identification.
|出版ステータス||出版済み - 2018|
|イベント||2018 SNAME Maritime Convention, SMC 2018 - Providence, 米国|
継続期間: 10月 24 2018 → 10月 27 2018
|会議||2018 SNAME Maritime Convention, SMC 2018|
|Period||10/24/18 → 10/27/18|
!!!All Science Journal Classification (ASJC) codes