Research on color intelligent sorting system of waste plastic bottles based on YOLOv7 network
Due to the diverse shapes and colors of plastic bottles in the sorting environment,the manually extracted features are often subjective and may lose important information or complex relationships between features,resulting in poor classification effect of plastic bottles,etc.A color sorting system for waste plastic bottles based on convolution-al neural networks is proposed.Firstly,common plastic bottles in the market were collected,images were collected with industrial cameras,labelimg was used to manually annotate the data set,and data enhancement was used to ex-pand the data set and improve the robustness of the training model.The YOLOv7 convolutional neural network model was used for detection and recognition of color classification,and the spray valve was used to screen the plastic bot-tles with the target color.The experiment shows that the real-time detection accuracy is as high as 95.7％,with a high level of automation and intelligence,and has high application value in the recycling industry.
color classificationdiscarded plastic bottlesYOLOv7intelligent classification
NETL
NSTL
万方数据
维普
