WU Yiping, ZHANG Yu, LI Ming. Fine classification model for plastic waste based on FV-DCNN[J]. 2021, (6): 118-120. DOI: 10.13873/J.1000-9787(2021)06-0118-03.
In order to realize the high-quality recycling of plastic waste
a fine classification method of plastic waste based on Fisher vector(FV)and deep convolutional neural network is proposed.The method uses the near-infrared spectrum of plastic garbage as the original data
and combines the deep convolutional neural network with Fisher vector coding to establish a fine classification model of plastic garbage.The verification experiment is designed for several typical plastic materials.The experimental results show that the classification accuracy of the model reaches 91.25 %
which makes the fine classification of plastic waste possible.