Research on Household Waste Detection System Based on Deep Learning

Li Mingyang; Li Chengrong

doi:10.1051/e3sconf/202126701034

All issues

Volume 267 (2021)

E3S Web Conf., 267 (2021) 01034

References

Open Access

Issue		E3S Web Conf. Volume 267, 2021 7^th International Conference on Energy Science and Chemical Engineering (ICESCE 2021)


Article Number		01034
Number of page(s)		4
Section		Energy Development and Utilization and Energy-Saving Technology Application
DOI		https://doi.org/10.1051/e3sconf/202126701034
Published online		04 June 2021

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[1] Wei Xiaoxiao, Wang Xiaoming, Li Lei, et al. Temporal and spatial characteristics of municipal solid waste generation and treatment in China from 1979 to 2016 [J]. China Environmental Science, 2018, 38(10): 38333843. [Google Scholar]

[2] Du Huanzheng, Liu Feiren. Difficulties in China’s Municipal Domestic Waste Classified Collection and Solutions [J]. Journal of Xinjiang Normal University (Edition of Philosophy and Social Sciences), 2020, 41(01): 134–144+2. [Google Scholar]

[3] X. Du, S. Tang, Z. Lu, J. Wet, K. Gai and P. C. K. Hung, “A Novel Data Placement Strategy for Data-Sharing Scientific Workflows in Heterogeneous Edge-Cloud Computing Environments,” 2020 IEEE International Conference on Web Services (ICWS), Beijing, China, 2020, pp. 498-507. [Google Scholar]

[4] Serranti, S., Bonifazi, G., Pohl, R., 2006. Spectral cullet classification in the mid infrared field for ceramic glass contaminants detection. Waste Manage. Res. 24(1), 48–59. [Google Scholar]

[5] Redmon J, Divvala S, Girshick R, et al. You only look once: unified, real- time object detection[C]//IEEE Conference on Computer Vision and Pattern Recognition, 2016: 779-788. [Google Scholar]

[6] Ojala, Timo, Pietikainen, et al. Multiresolution Gray-Scale and Rotation Invariant Texture and Classification with Local Binary Patterns [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2002. [Google Scholar]

[7] Dalal N, Triggs B. Histograms of oriented gradients for human detection[C] / /Proceedings of 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. San Diego, CA, USA: IEEE, 2005: 886-893. [DOI: 10. 1109 /CVPR. 2005. 177] [Google Scholar]

[8] Bay H, Tuytelaars T, Gool L V SURF: Speeded up robust features[C] // Proceedings of the 9th European conference on Computer Vision - Volume Part I. Springer-Verlag, 2006. [Google Scholar]

[9] Paulraj S G, Hait S, Thakur A. Automated Municipal Solid Waste Sorting for Recycling Using a Mobile Manipulator[C]// ASME 2016 International Design Engineering Technical Conference (IDETC). 2016. [Google Scholar]

[10] X. Du, J. Xu, W. Cai, C. Zhu and Y. Chen, “OPRC: An Online Personalized Reputation Calculation Model in Service-Oriented Computing Environments,” in IEEE Access, vol. 7, pp. 87760-87768, 2019. [Google Scholar]

[11] Ren S, He K, Girshick R, et al. Faster R-CNN: towards real- time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2017, 39(6):1137-1149 [Google Scholar]

[12] Redmon J, Farhadi A. YOLO9000: better, faster, stronger [C]//IEEE Conference on Computer Vision and Pattern Recognition, 2017: 6517-6525. [Google Scholar]