Air switch state detection method and device based on ORB feature matching and yolo

The invention provides an ORB feature matching and yolk-based air switch state detection method. The method comprises the following steps: A, shooting an equipment image sample containing an air switch to establish a data set; B, carrying out training and exporting on a yolo model; C, manufacturing...

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Bibliographische Detailangaben
Hauptverfasser: XIE JIANFENG, LIN MINGFU, LIU ZUFENG, LI YUANJIU, ZHANG HONGPO, CHEN SHENGYI, YAN SIHAI, XIE YONGTIAN
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides an ORB feature matching and yolk-based air switch state detection method. The method comprises the following steps: A, shooting an equipment image sample containing an air switch to establish a data set; B, carrying out training and exporting on a yolo model; C, manufacturing a standard template; D, shooting an equipment image containing the air switch to be detected, and performing ORB feature point extraction on the equipment image and generating a corresponding feature vector; E, performing feature matching to position the air switch to be detected, and correcting the equipment image in the step D; F, obtaining a to-be-detected switch image basically consistent with the standard template; G, inputting a to-be-detected switch image into the yolo model processed in the step B to obtain the number of switches and the state of each switch; and F, judging whether the air switch state is abnormal or not, and giving an alarm. The method is high in anti-interference performance, low in false