Instrument Recognition in Transformer Substation Base on Image Recognition Algorithm

To improve the automatic operation of remote video monitoring equipment of substation, improve the operation efficiency of equipment, and realize the function of automatic self-check, the instrument identification system based on image recognition is studied. Firstly, the research significance of the application of image recognition in instrument recognition is analyzed. On the basis of previous studies, the structure of neuron network is introduced. Then, based on the Scale Invariant Feature Transform (SIFT), the instrument positioning is studied, the Gaussian difference model is constructed, and the reading method is determined, so that the instrument identification system can automatically read. Next, based on SIFT, the instrument identification system is established and the design scheme of the system is proposed. Finally, the experiment proves that the instrument recognition system based on image recognition is able to automatically recognize simple graphical interface and learn independently. This study has a great influence on the research field of image recognition instrument recognition.