Research on Automatic Reading System for Instrument Data Based on OpenCV Optimized Edge Detection
With the improvement of industrial automation level,the importance of instruments in production is increas-ingly prominent.The traditional manual reading of instrument data has problems such as high cost,low efficiency,and easy errors.By utilizing the powerful open source computer vision library(OpenCV),instrument images could be captured through cameras,and after image pre-processing,edge detection,segmentation,and other steps,automated reading of instrument data could be achieved.The automatic reading system for instrument data based on OpenCV op-timized edge detection could not only overcome the problems of traditional manual reading of instrument data,but al-so significantly improve the processing speed,recognition accuracy,and reliability of instrument data,reduce factory labor costs,and improve industrial production efficiency.
OpenCVedge detectionautomatic reading of instrument dataindustrial automationimage processing
NETL
NSTL
万方数据
