Study of a cloud-based manufacturing tracking registration scheme

Abstract

With the development of cloud manufacturing, there is an influx of cloud manufacturing resources on the Internet, which makes it a valuable area of research on how to effectively update the cloud pool of manufacturing resources and improve resource management efficiency in cloud manufacturing. To this end, recent research has focused on addressing the dynamic updating of cloud manufacturing resources to meet the time-sensitive needs of cloud manufacturing. However, due to the increasing diversity of manufacturing resources, the traditional manufacturing resource register only contains static information about manufacturing resources, which can easily have an impact on the dynamic matching and recall of manufacturing resources. So it is very challenging to achieve an update of manufacturing resources, especially video resources. So we propose a dynamic tracking method for spatial features of cloud manufacturing called CMFK (Kalman-based method for dynamic tracking of cloud manufacturing resources). CMFK consists of two main components, firstly the identification, description, and matching of manufacturing resource feature points through computer vision. Secondly, the update and registration of dynamic information are completed. The experimental results demonstrate the feasibility and effectiveness of our approach.