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The Journal of Supercomputing

Erschienen in:

30.11.2016

Intelligent monitor system based on cloud and convolutional neural networks

verfasst von: Binbin Yong, Gaofeng Zhang, Huaming Chen, Qingguo Zhou

Erschienen in: The Journal of Supercomputing | Ausgabe 7/2017

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Abstract

Nowadays, cloud-based services are widely developed. The deployment of cloud technology has boosted the development and application of web services. It reduces the overhead of software virtual machine, and supports a wider range of operating systems. Moreover, it enhances the utilization of infrastructure. With the development of artificial intelligence (AI) technology, especially artificial neural network (ANN), intelligent monitor systems are being raised and developed in our daily life. However, a simple task with a single ANN costs a lot of time and computation resources. Hence, we propose using a cloud-based system to share computation resources for ANN to reduce redundant computation. In this paper, we present an intelligent monitor system, which is based on cloud technology, to provide intelligent monitor services. The system is designed with hybrid convolutional neural networks. It has been used for several intelligent monitor tasks, such as scene change detection, stranger recognition, facial expression recognition and action recognition.

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Titel: Intelligent monitor system based on cloud and convolutional neural networks
verfasst von: Binbin Yong
Gaofeng Zhang
Huaming Chen
Qingguo Zhou
Publikationsdatum: 30.11.2016
Verlag: Springer US
Erschienen in: The Journal of Supercomputing / Ausgabe 7/2017
Print ISSN: 0920-8542
Elektronische ISSN: 1573-0484
DOI: https://doi.org/10.1007/s11227-016-1934-1

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