FalconEye: Data Center Status Extraction via Vision Transformation Techniques

Abstract

In this study, a vision monitoring system that is applicable to the maintenance of data centers was developed and applied to data center status extraction. The vision monitoring system, which is intended to complement system monitoring tools, such as IPMI and Nagios, has the additional benefit of enabling continuous monitoring of the external status of data centers. This system, which is based on vision transformation techniques, involves three main steps: camera calibration, where the characterized physical point is determined in the data center by the setting of the system parameters; the development of vision transformation subroutines, which are aimed at transforming relatively large images into vertically expanded image streams; and the development of image analysis subroutines for the purpose of investigating images that are transformed for the data center status extraction. This Falcon Eye system of this work is implemented with the aid of a cloud computing platform, called iCube Cloud.