Research Status of Factory Instrument Detection and Identification
This manuscript analyzes the key methods and technologies of current instrument detection and identification,mainly including the acquisition method and equipment of instrument dial images,dial image processing method and dial data extraction algorithm.In addition to manual inspection,the acquisition method of instrument dial images also includes foot-type,wheel-type,and track-type inspection robots equipped with sensors such as camera detection for autonomous inspection.The purpose of dial image processing is to correct various interferences,such as dial tilt,too dark ambient light,exposure or backlight,image blur and image occlusion,so as to obtain a more complete and more accurate instrument image.There are currently conventional image processing methods and deep learning methods based on neural networks for dial data extraction.Conventional image processing methods obtain instrument pointer values and dial readings through feature extraction and pattern matching.Deep learning methods such as convolutional neural networks and recurrent neural networks help to identify key features of instruments more accurately and efficiently.The future development direction is more inclined to be based on deep learning models and optimization algorithms to further improve the accuracy and efficiency of instrument detection,improve instrument data processing and analysis capabilities,and achieve rapid reading of instrument data to achieve more accurate detection and identification.
instrument detection and identificationdeep learningimage processingnumerical extraction
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