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- W4310552515 abstract "Abstract In order to effectively improve the work efficiency and real-time performance of an automatic inspection of power transmission and transformation, this paper studies the automatic inspection method of power transmission and transformation based on artificial intelligence image recognition technology. First, we use cameras and unmanned aerial vehicles (UAVs) to obtain image data for power transmission and transformation inspection. Second, through the artificial sample calibration and reconstruction technology, the power transmission, and transformation inspection sample database is constructed. Then, the model is trained using the Faster-R CNN algorithm based on regional relationship features. Finally, the model is further optimized through model release and evaluation to realize intelligent diagnosis in power transmission and transformation detection. This research raises the recognition accuracy of power transmission and transformation inspection, improves the intelligence and efficiency of inspection, and provides good technical support for the construction of intelligent operation inspection." @default.
- W4310552515 created "2022-12-12" @default.
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- W4310552515 date "2022-11-01" @default.
- W4310552515 modified "2023-09-30" @default.
- W4310552515 title "Application of artificial intelligence image recognition technology based on Faster-R CNN in automatic inspection of power transmission and transformation" @default.
- W4310552515 doi "https://doi.org/10.1088/1742-6596/2306/1/012006" @default.
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