Power equipment infrared image recognition method based on regional convolutional neural network
A convolutional neural network, infrared image technology, applied in the field of computer image processing and deep learning, can solve the problems of false detection and missed detection, low detection efficiency, etc., to overcome low detection efficiency, simple detection, and overcome false detection and leakage. Check the effect
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[0024] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.
[0025] refer to figure 1 As shown, the infrared image recognition method for power equipment based on the regional convolutional neural network provided by the embodiment of the present invention includes:
[0026] S100. Obtain infrared images of various electrical equipment under different environmental conditions, and construct an infrared image sample library of electrical equipment; each infrared image is labeled with electrica...
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