Garbage classification system based on deep learning

Han Xiao; Dezhi Sun

doi:10.1117/12.2635367

12 May 2022 Garbage classification system based on deep learning

Han Xiao, Dezhi Sun

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 1217313 (2022) https://doi.org/10.1117/12.2635367
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

In recent years, sustainable development has attracted more and more attention, and waste classification is a social problem related to people's livelihood and social sustainable development. Therefore, this paper proposes a waste classification system based on deep learning. The system is built with tensorflow framework in deep learning and data training with mobilenet model, The data set is obtained by the method of web crawler, cleaned and classified, and the graphical interface is constructed by pyqt5. Finally, by uploading the pictures, the system can effectively classify the objects in the pictures into the correct garbage name and category.

Citation Download Citation

Han Xiao and Dezhi Sun "Garbage classification system based on deep learning", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 1217313 (12 May 2022); https://doi.org/10.1117/12.2635367

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available