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The real time intelligent monitoring of the working state of the insulator string is an important prerequisite for the realization. The detection effect of insulator strings is affected by the environment in the current patrol image. This article introduced the super pixels and statistical methods to reduce the difficulty of complex scenes, using multi-scale approach first the image is decomposed into different layers, and then uses the SLIC will each layer of the image is decomposed into different sizes of super pixels, super characteristics of pixels is used to describe the multi-scale, the feature information of the image of a position, and comprehensive get images of rough area, and as a sample set input area network Region net for processing. Finally, accurate and complete salient features are obtained through network training iteration. By comparing the characteristics of insulator string images in different environments with other popular algorithms, it is proved that the F-measure and mean error MAE of this algorithm are superior to current popular algorithms.