Patent · US Active

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

US11835489B2 · kind B2 · utility

0Cited by

0References

1Claims

0Family size

Assignee

ZHEJIANG UNIVERSITY · CN

Inventors

Jun Zou · Houston, US
Gang Lu · Nanhu, CN
Yuanbin WANG · Hangzhou City, CN

Key dates

Filing date	Nov 18, 2020
Grant date	Dec 5, 2023
Priority date	—
Expiry date	Apr 13, 2041

Classification

Technology area (CPC H)Electricity
CPC primaryH04R1/08
WIPO fieldMeasurement
WIPO sectorInstruments

Abstract

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.