WirelessSyncroVision: Wireless synchronization for industrial stereoscopic systems

• Type: Article in International Scientific Journal
• Date: 2016

Authors

Pinto, AM (Author) FEUP; António Paulo Moreira (Author) FEUP; Paulo Gomes da Costa (Author) FEUP

Journal

Title: International Journal of Advanced Manufacturing Technology

Vol. 82

Pages: 909-919

ISSN: 0268-3768

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 8 Citations

Other information

Authenticus ID: P-00G-CN2

DOI: 10.1007/s00170-015-7398-2

Abstract (EN): The research proposes a novel technological solution for marker-based human motion capture called WirelessSyncroVision (WSV). The WSV is formed by two main modules: the visual node (WSV-V) which is based on a stereoscopic vision system and the marker node (WSV-M) that is constituted by a 6-DOF active marker. The solution synchronizes the acquisition of images in remote muti-cameras with the ON period of the active marker. This increases the robustness of the stereoscopic system to illumination changes, which is extremely relevant for programming industrial robotic-arms using a human demonstrator programming by demonstration (PbD). In addition, the research presents a robust method named Adaptive and Robust Synchronization (ARS), that is designed for temporal alignment of remote devices using a wireless network. The algorithm models the phase difference as a function of time, measuring the parameters that must be known to predict the synchronization instant between the active marker and the remote cameras. Results demonstrate that the ARS creates a balance between the real-time capability and the performance estimation of the phase difference. Therefore, this research proposes an elegant solution to synchronize image acquisition systems in real-time that is easy to implement with low operational costs; however, the major advantage of the WSV is related to its high level of flexibility since it can be extended toward to other devices besides the PbD, for instance, motion capture, motion analysis, and remote sensoring systems.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11