Classification and recycling of recyclable garbage based on deep learning

Y Chen, A Luo, M Cheng, Y Wu, J Zhu, Y Meng… - Journal of Cleaner …, 2023 - Elsevier
Garbage classification and recycling have a lot of benefits, which help protect water and soil
resources, improve the living environment's quality, and speed up the green circular …

Using YOLOv5 for garbage classification

Z Wu, D Zhang, Y Shao, X Zhang… - 2021 4th …, 2021 - ieeexplore.ieee.org
At present, people's daily garbage is increasing day by day. How to intelligently classify
garbage can save manpower and improve work efficiency. In this paper, a garbage …

AADH-YOLOv5: improved YOLOv5 based on adaptive activate decoupled head for garbage detection

Y Jia, J Zhao, L Yu - Journal of Electronic Imaging, 2023 - spiedigitallibrary.org
As the issue of garbage pollution becomes increasingly urgent, accurate and effective
garbage detection can play a crucial role in minimizing environmental pollution and …

A YOLO-based neural network with VAE for intelligent garbage detection and classification

A Ye, B Pang, Y Jin, J Cui - Proceedings of the 2020 3rd International …, 2020 - dl.acm.org
Garbage recycling is becoming an urgent need for the people as the rapid development of
human society is producing colossal amount of waste every year. However, current machine …

[HTML][HTML] Application of MobileNetV2 to waste classification

L Yong, L Ma, D Sun, L Du - Plos one, 2023 - journals.plos.org
Today, the topic of waste separation has been raised for a long time, and some waste
separation devices have been installed in large communities. However, the vast majority of …

[HTML][HTML] Towards lightweight neural networks for garbage object detection

X Cai, F Shuang, X Sun, Y Duan, G Cheng - Sensors, 2022 - mdpi.com
In recent years, garbage classification has become a hot topic in China, and legislation on
garbage classification has been proposed. Proper garbage classification and improving the …

Yolo-green: A real-time classification and object detection model optimized for waste management

W Lin - 2021 IEEE International Conference on Big Data (Big …, 2021 - ieeexplore.ieee.org
Deep neural networks (DNNs) play an important role in our daily lives, from aiding us in
menial tasks to solving world issues such as cancer cell detection. However, few pieces of …

Deep learning networks for real-time regional domestic waste detection

WL Mao, WC Chen, HIK Fathurrahman… - Journal of Cleaner …, 2022 - Elsevier
Waste sorting is highly labor intensive because the wide variety of waste items prohibits
automation. More recently, deep learning (DL) and computer vision technology has …

[HTML][HTML] Water surface garbage detection based on lightweight YOLOv5

L Chen, J Zhu - Scientific Reports, 2024 - nature.com
With the development of deep learning technology, researchers are increasingly paying
attention to how to efficiently salvage surface garbage. Since the 1980s, the development of …

Garbage detection and classification using a new deep learning-based machine vision system as a tool for sustainable waste recycling

S Jin, Z Yang, G Królczykg, X Liu, P Gardoni, Z Li - Waste Management, 2023 - Elsevier
Waste recycling is a critical issue for environment pollution management while garbage
classification determines the recycling efficiency. In order to reduce labor costs and increase …