The QualityDetection of Aggregate is Studied by Image Processing and Depth Learning
In modern engineering construction,sand and stone aggregate as the main component of concrete,its quality directly affects the project quality and safety,image processing and depth learning technology is applied to the quality detection of sand and stone aggregate,to improve the accuracy and efficiency of detection.By collecting the image data of sand and stone aggregate,extracting the characteristic parameters by image processing technology,and discriminating the quality grade by depth learning model,the fast quality recognition of sand and stone aggregate is realized,this method can effectively distinguish different quality grades of aggregate,and provide technical support for the quality control of concrete.
万方数据
维普
