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Image Surveillance System in the Unattended Substation Based on SUSAN Corner Detection

The narrow bandwidth of wireless communication network limited the applications of the remote image surveillance in the unattended substation. A new method is proposed to adapt the wireless environment. The technique, implemented to obtain the digital instrument’s reading which is set as the ROI(region of interest) automatically, utilizes corner detection based on SUSAN algorithm. Then the ROI encoding in JPEG2000 technology is utilized in the image of the region of interest compressed at a higher quality than the rest of the image. The instrument’s reading information of unattended substation can be transmitted to dispatching center using wireless network effectively. Experimental results show that the presented method is feasible in terms of image quality and compression, adapting the narrow bandwidth, and improving the image of the real-time transmission.