Zhejiang University

Guangdong Midea Consumer Electrics Manufacturing Co., Ltd.

Yuanbin Wang

Ming Li

Weijun Qiao

Jun Zou

Gang Lu

Le Yang

Jinzhang Zhao

Weifeng Situ

Tianlong Li

Qiyou Zhou

Jun Zeng

An acoustic garbage classification method using a one-dimensional convolutional neural network (1D-CNN) is provided. The method includes: acquiring sound signals generated by falling garbage; preprocessing the sound signals; acquiring and preprocessing the sound signals of different types of garbage, building a sound database for garbage classification, and establishing and training a 1D-CNN model; acquiring a sound signal of garbage to be classified, and inputting the sound signal into the trained 1D-CNN for garbage classification to obtain a classification result. The present disclosure is helpful to assist people in accurate garbage classification, improves the accuracy of garbage classification and recycling, and has high practical and popularization value.

Acoustic garbage classification method using one-dimensional convolutional neural network (1D-CNN)

Growing community of inventors

Hangzhou, China

Yuanbin Wang