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Research on Recognition and Location Method of Insulator in Infrared Image Based on Deep Learning
- Source :
- Journal of Physics: Conference Series. 2087:012090
- Publication Year :
- 2021
- Publisher :
- IOP Publishing, 2021.
-
Abstract
- Infrared thermography technology is widely used in the thermal condition detection of insulators due to its advantages of non-contact, sensitive, online detection. To realize the automatic detection of the operating condition of insulators in complex environments, this paper proposes a method for the recognition and location of the insulator based on Region-based Fully Convolutional Networks (R-FCN). The model was trained and tested on the constructed insulator infrared data set, compared with the SSD model. The results showed that the R-FCN detecting insulators can not only accurately locate insulators, but have an AP (average precision) value as high as 89.2%. Therefore, the findings in this paper have verified that R-FCN has great advantages in the recognition and location of infrared images of insulators and has practical application value.
Details
- ISSN :
- 17426596 and 17426588
- Volume :
- 2087
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........85a1e22a3e2c48e09a62c488bd772d67