Unsupervised Identification Technology of Building Embedded Parts Based on Digital Image Processing Technology
In the inspection of construction quality,it is important to confirm the position and quantity of embedded parts.To further improve the detection efficiency of embedded parts and realize unsupervised identification of building embedded parts,this paper adopted digital image processing technology,and built a convolution neural network model for building embedded parts recognition.Furthermore,a mobile robot was developed which was embedded in the convolution neural network model.Thereafter,the unsupervised identification technology of building embedded parts was formed.Finally,the unsupervised identification technology mentioned above was applied to the actual project which detected the embedded parts and acquired the quantity of them effectively.
digital imageembedded partsconvolution neural networkrobotsunsupervised identification
NETL
NSTL
万方数据
维普
