Small target bolt defect detection method for unmanned aerial vehicle inspection

The invention discloses a small target bolt defect detection method for unmanned aerial vehicle inspection. The method comprises the following steps: (1) constructing a backbone network suitable for small target feature extraction; (2) constructing a global-local two-stage small target bolt defect d...

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Bibliographische Detailangaben
Hauptverfasser: MA HENGRUI, WANG HONGXIA, WANG LEIXIONG, LUO PENG, WANG BO, MA FUQI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a small target bolt defect detection method for unmanned aerial vehicle inspection. The method comprises the following steps: (1) constructing a backbone network suitable for small target feature extraction; (2) constructing a global-local two-stage small target bolt defect detection model; (3) constructing a small target bolt defect data set based on the unmanned aerial vehicle inspection image; (4) training a global-local two-stage small target bolt defect detection model provided by the invention on an unmanned aerial vehicle inspection picture data set; and (5) using the trained model to intelligently identify the bolt defect in the unmanned aerial vehicle inspection picture. The invention provides a small-target bolt defect detection method for unmanned aerial vehicle inspection in combination with technologies such as local image extraction, feature fusion and an attention mechanism aiming at the problems that a bolt defect target in a power transmission line inspection picture i