The invention provides a visible light image insulator identification method and solves problems of poor universality and a non-high identification rate existing in a visible light image insulator under the complex background in the prior art. The method comprises steps that a training sample data set is constructed according to an original image; according to the training sample data set, the original image is detected through employing a BING algorithm, and an insulator candidate window is outputted; the insulator candidate window is identified through a convolutional neural network after training, and an insulator fine extraction window is outputted; the insulator fine extraction window is calculated through a high overlapping degree window iteration weight merging algorithm, and an insulator target window is outputted. The method is advantaged in that the problem of poor universality existing in the visible light image insulator under the complex background in the prior art is solved through the BING algorithm, and the problem of the non-high identification rate is solved through the convolutional neural network and the high overlapping window iteration weight merging algorithm.