Infrared Image Recognition Method for Substation Equipment Based on Global Attention Mechanism
The conventional infrared image recognition feature extraction of substation equipment mainly focuses on target punctuation extraction,which has a slow recognition speed and can easily lead to an increase in defect misidentification rate of infrared images.In view of this a design and validation analysis of an infrared image recognition method for substation e-quipment based on global attention mechanism is performed.Based on the current recognition requirements,the method first collects infrared image data,improves recognition speed through multi-scale methods,and performs multi-scale fea-ture extraction.Then a global attention mechanism for infrared image recognition of substation equipment is designed,and threshold assisted discrimination is used to achieve image recognition.The test results show that in the selected three sta-ges,the two auxiliary methods compared have a defect misidentification rate of over 15%for infrared images.However,the misidentification rate of the infrared image recognition group of the substation equipment designed in this paper is well controlled below 10%,indicating that the global attention mechanism facilitates more targeted and efficient recognition of images.
global attention mechanismsubstation equipmentinfrared imageimage recognitionidentification methodremote control
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