Next Article in Journal
Sigma Routing Metric for RPL Protocol
Previous Article in Journal
Dual-Task Elderly Gait of Prospective Fallers and Non-Fallers: A Wearable-Sensor Based Analysis
Previous Article in Special Issue
Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study
Article Menu
Issue 4 (April) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(4), 1276;

Synchronized High-Speed Vision Sensor Network for Expansion of Field of View

Department of Mechatronics, Nanzan University, 18 Yamazato-cho, Showa-ku, Nagoya 466-8673, Japan
Department of Information Physics and Computing, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Department of Creative Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in Noda, A.; Yamakawa, Y.; Ishikawa, M. Frame Synchronization for Networked High-Speed Vision Systems. In Proceedings of the IEEE SENSORS 2014, Valencia, Spain, 2–5 November 2014.
Received: 13 March 2018 / Revised: 15 April 2018 / Accepted: 19 April 2018 / Published: 21 April 2018
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in Japan 2017)
PDF [2719 KB, uploaded 3 May 2018]


We propose a 500-frames-per-second high-speed vision (HSV) sensor network that acquires frames at a timing that is precisely synchronized across the network. Multiple vision sensor nodes, individually comprising a camera and a PC, are connected via Ethernet for data transmission and for clock synchronization. A network of synchronized HSV sensors provides a significantly expanded field-of-view compared with that of each individual HSV sensor. In the proposed system, the shutter of each camera is controlled based on the clock of the PC locally provided inside the node, and the shutters are globally synchronized using the Precision Time Protocol (PTP) over the network. A theoretical analysis and experiment results indicate that the shutter trigger skew among the nodes is a few tens of microseconds at most, which is significantly smaller than the frame interval of 1000-fps-class high-speed cameras. Experimental results obtained with the proposed system comprising four nodes demonstrated the ability to capture the propagation of a small displacement along a large-scale structure. View Full-Text
Keywords: frame synchronization; high-speed vision; networked vision frame synchronization; high-speed vision; networked vision

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Noda, A.; Tabata, S.; Ishikawa, M.; Yamakawa, Y. Synchronized High-Speed Vision Sensor Network for Expansion of Field of View. Sensors 2018, 18, 1276.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top