Realization and Optimization of Image Recognition Algorithm of Color Sorter Based on HXAI 100
Aiming at the problems of complex structure,large number of parameters,low recognition rate,and difficult edge deployment of traditional neural network recognition algorithms,this paper implements the Mobilenet V2 training algorithm based on the integrated management tool anaconda and the development environment pycharm,splits the dataset in multiple proportions,and optimizes the deep residual module,batch parameters and dropout parameters.The improved MobileNet V2 model can meet industry standards in the task of sorting and sorting melon seeds,peppercorns,shrimp,and almonds.Finally,the intelligent classification effect in the field of color sorter was realized on the edge deployment chip Soul Core V(HXAI 100).
color sorterMobileNet V2intelligent classification
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