The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Intelligent Waste Classification System Using Deep Learning Convolutional Neural Network
Open accessAbstract
The accumulation of solid waste in the urban area is becoming a great concern, and it would result in environmental pollution and may be hazardous to human health if it is not properly managed. It is important to have an advanced/intelligent waste management system to manage a variety of waste materials. One of the most important steps of waste management is the separation of the waste into the different components and this process is normally done manually by hand-picking. To simplify the process, we propose an intelligent waste material classification system, which is developed by using the 50-layer residual net pre-train (ResNet-50) Convolutional Neural Network model which is a machine learning tool and serves as the extractor, and Support Vector Machine (SVM) which is used to classify the waste into different groups/types such as glass, metal, paper, and plastic etc. The proposed system is tested on the trash image dataset which was developed by Gary Thung and Mindy Yang, and is able to achieve an accuracy of 87% on the dataset. The separation process of the waste will be faster and intelligent using the proposed waste material classification system without or reducing human involvement.
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Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2017) · Communications of the ACM · doi:10.1145/3065386 · Cited by 112,155
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Artificial intelligence for waste management in smart cities: a review
Fang, B., Yu, J., Chen, Z., Osman, A. I., Farghali, M., Ihara, I., Hamza, E. H., Rooney, D. W., & Yap, P.-S. (2023) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01604-3 · Cited by 629
Guo, H.-N., Wu, S.-B., Tian, Y.-J., Zhang, J., & Liu, H.-T. (2021) · Bioresource Technology · doi:10.1016/j.biortech.2020.124114 · Cited by 375
Sallang, N. C. A., Islam, M. T., Islam, M. S., & Arshad, H. (2021) · IEEE Access · doi:10.1109/access.2021.3128314 · Cited by 131
A YOLO-based Neural Network with VAE for Intelligent Garbage Detection and Classification
Ye, A., Pang, B., Jin, Y., & Cui, J. (2020) · 2020 3rd International Conference on Algorithms, Computing and Artificial Intelligence · doi:10.1145/3446132.3446400 · Cited by 32
Metadata
- Authors
- Adedeji, O., & Wang, Z.
- Venue
- Procedia Manufacturing
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 35
- Pages
- 607-612
- ISSN
- 2351-9789 (ISSN-L)
- OpenAlex
- W2967357336
- Cited by
- 400
- References
- 5
- FWCI
- 16.20
- Type
- journal article
- Language
- en
- Open access
- diamond
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