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Open AccessArticle

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

1
Department of Mechatronics, Nanzan University, 18 Yamazato-cho, Showa-ku, Nagoya 466-8673, Japan
2
Department of Information Physics and Computing, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
3
Department of Creative Informatics, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan
4
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.
Sensors 2018, 18(4), 1276; https://doi.org/10.3390/s18041276
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)
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
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Noda, A.; Tabata, S.; Ishikawa, M.; Yamakawa, Y. Synchronized High-Speed Vision Sensor Network for Expansion of Field of View. Sensors 2018, 18, 1276.

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