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 …

Sensor-based technologies in effective solid waste sorting: successful applications, sensor combination, and future directions

Y Zhao, J Li - Environmental Science & Technology, 2022 - ACS Publications
The increase in global population and improvement of living standards have stirred up a
continuous increase in solid waste generation, while simple incineration and landfilling …

Research on deep learning garbage classification system based on fusion of image classification and object detection classification.

Z Yang, Y Bao, Y Liu, Q Zhao… - … and Engineering: MBE, 2022 - europepmc.org
With the development of national economy, the output of waste is also increasing. People's
living standards are constantly improving, and the problem of garbage pollution is …

[PDF][PDF] A Deep Trash Classification Model on Raspberry Pi 4.

TK Tran, KT Huynh, DN Le, M Arif… - Intelligent Automation & …, 2023 - cdn.techscience.cn
Environmental pollution has had substantial impacts on human life, and trash is one of the
main sources of such pollution in most countries. Trash classification from a collection of …

[HTML][HTML] Low-Cost Recognition of Plastic Waste Using Deep Learning and a Multi-Spectral Near-Infrared Sensor

U Martinez-Hernandez, G West, T Assaf - Sensors, 2024 - mdpi.com
This work presents an approach for the recognition of plastics using a low-cost spectroscopy
sensor module together with a set of machine learning methods. The sensor is a multi …

Improved Commodity Supply Chain Performance through AI and Computer Vision Techniques

Y Sun, I Ahmed, M Alkahtani, QS Khalid… - IEEE …, 2024 - ieeexplore.ieee.org
In the realm of supply chain management, the impact of Artificial Intelligence (AI) tools on
optimizing commodity distribution is undeniable. This study presents the transformative …

A vision-based litter detection and classification using SSD MobileNetv2

A Balmik, S Barik, M Jha… - 2023 10th International …, 2023 - ieeexplore.ieee.org
Municipal solid litter generation has steadily increased significantly in recent years. To
prevent waste from collecting in the environment, it is beneficial to clean up wastes and …

A garbage classification method based on improved YOLOv5

X Yan, Y Yang, L Feng, L Wang… - … Conference on Networks …, 2022 - ieeexplore.ieee.org
With the development of national economy, people's daily garbage is increasing day by day.
Relying on manpower to sort garbage is a heavy workload and low efficiency. In this paper …

Adapted ACO algorithm for energy-efficient path finding of waste collection robot

K Tomitagawa, A Anuntachai… - … and Systems (ICCAS …, 2022 - ieeexplore.ieee.org
Waste collection is a major concern of many companies with large areas of facility, eg,
buildings or factories, where there are many trash bins at various dumping points. Therefore …

Hierarchical waste detection with weakly supervised segmentation in images from recycling plants

D Yudin, N Zakharenko, A Smetanin, R Filonov… - … Applications of Artificial …, 2024 - Elsevier
Reducing environmental pollution with household waste and emissions from the computing
clusters is an urgent technological problem. In our work, we explore both of these aspects …