The internet of things enables the implementation of Cyber-Physical Systems (CPS) to control the physical processes and interactions between them through a range of sensors, controllers and communication systems. Images and videos in real-time over the internet for data analysis and data fusion applies machine learning algorithms to recognize people, objects, giant, context and situations automatically. The improvements in deep learning algorithms compounded with lower cost hardware make this research area emerging and practically realizable. The improvements in software, hardware technologies and storage is essential to improve the reliability of such systems. Video analytics also requires considerations of cyber security and privacy as essential ingredients to the scalability, and trust management issues in practical applications. To address these, the development of enabling vision devices, circuits and systems within the CPS framework is promoted. This special issue will present the state of the art research results on the topic of vision sensors, circuits, and systems on its application to the internet of things for industrial and exploratory applications. The areas of interests include, but are not limited to, the following CPS-relevant topics:

Data-driven approaches
Software/Hardware codesign approaches
Design and test for vision sensors
CPS security in vision systems
Complexity, reliability, and scalability
IoT vision system implementations
Bioinspired and Neuromorphic vision computing
Architecture design and analysis
Circuits and systems for video analytics
Deep learning vision circuits and systems
Systems approaches of CPS
CPS in real-time vision computing

Submission Instructions: All submissions are subject to the journal’s peer-review procedures. The authors should follow the journal’s Author Guide at http://digital-library.theiet.org/journals/author-guide when preparing papers for submission to the Special Issue. For more information, please contact the leading guest editor Alex James at apj@ieee.org.


Guest Editors
Dr. Alex James - Nazarbayev University, Kazakhstan
Dr Bhaskar Choubey, University of Oxford, UK
Prof Sergio A Velastin, University Carlos III Madrid Spain
Dr Martin Wäny, Austria Micro systems, Austria
Dr Aleksej Makarov, Vlatacom, UK
Dr Claudio Salvadori, New Generation Sensors srl, Italy

Important Dates
Deadline for paper submissions: Sep 30, 2017
Publication: Q2, 2018

Support By
IET Vision and Imaging Network - IET Engineering Communities

Paper submission link: https://mc.manuscriptcentral.com/iet-cps