Research on Leakage Detection Model of Hydropower Station Based on Image Recognition
A method based on the fusion of high-definition camera and video data from power stations is proposed to establish a sample library of equipment images to realize the intelligent recognition of leakage defects in hydropower station equipment through the study of the deep learning framework of image recognition,the study of video-oriented dynamic target recognition technology for video sequences and the study of the recognition ability to enhance the deformation of the collection of equipment targets.Through the recognition model research results,the characteristics and technical requirements of the recognition model applicable to hydropower station scenarios are verified,which provides an important reference for the promotion of future application of video recognition technology in hydropower stations.