Frame synchronization for networked high-speed vision systems

In this paper, we propose a frame synchronization scheme for 500-fps class high-speed networked vision systems. Multiple vision sensor nodes, individually comprising a camera and a PC, are connected via Ethernet for data communication and for clock synchronization. The clocks of the PCs are synchronized over the network by Precision Time Protocol (PTP) with negligible errors around a few microseconds. In the proposed scheme, the trigger of each camera's shutter is locally controlled based on the PCs clock that is locally provided inside the node and is globally synchronized over the network. An experimental system comprising two cameras and two PCs is presented, and the experiment results show that the shutter timing error between the two cameras are less than 10 microseconds, which is significantly smaller than the frame interval of 2 milliseconds.

[1]  Masatoshi Ishikawa,et al.  High-speed object tracking across multiple networked cameras , 2013, Proceedings of the 2013 IEEE/SICE International Symposium on System Integration.

[2]  Kang Lee,et al.  IEEE 1588 standard for a precision clock synchronization protocol for networked measurement and control systems , 2002, 2nd ISA/IEEE Sensors for Industry Conference,.

[3]  Koichi Hashimoto,et al.  Illumination-based real-time contactless synchronization of high-speed vision sensors , 2009, 2008 IEEE International Conference on Robotics and Biomimetics.

[4]  Akio Namiki,et al.  1-ms sensory-motor fusion system , 2000 .

[5]  George A. Triantafyllidis,et al.  Synchronous Image Acquisition based on Network Synchronization , 2006, 2006 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'06).

[6]  Masatoshi Ishikawa,et al.  A networked high-speed vision system for vehicle tracking , 2014, 2014 IEEE Sensors Applications Symposium (SAS).

[7]  Masatoshi Ishikawa,et al.  High-speed gaze controller for millisecond-order pan/tilt camera , 2011, 2011 IEEE International Conference on Robotics and Automation.