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2021 | OriginalPaper | Buchkapitel

Intelligent Garbage Classification System Based on Open MV

verfasst von : Hanxu Ma, Zhongfu Liu, Yujia Zhai

Erschienen in: Big Data Analytics for Cyber-Physical System in Smart City

Verlag: Springer Singapore

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Abstract

In the 20th century, the United Kingdom first implemented waste sorting and recycling, placing sorting barrels on the streets and recycling available resources. This method has also become popular worldwide. With the proposal of “smart city”, people have higher and higher requirements on quality of life, and the intelligentization of sorting buckets has become an inevitable trend. In order to respond to the call for garbage classification, this article has designed a set of intelligent garbage classification system based on STM32F103 Single-chip microcomputer, image processing technology and sensor technology. This article gives a more detailed and systematic description of the software framework and hardware design of the entire project. The design mainly uses the SSD algorithm and the Open MV module to identify and classify the types of garbage. The system controls the rotation of the steering gear baffle and the barrel in the garbage bin through the STM32F103 single-chip microcomputer, thereby performing accurate garbage classification. The intelligent trash can designed in this paper can realize the intelligent identification of garbage types and automatically complete the classification processing of garbage. In the future of the popularization of artificial intelligence, the design has certain innovative value, practical value and scientific research value.

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Literatur
1.
Zurück zum Zitat Xiao, F., Fuyan, G., Rui, G., Heng, Z.: Design of automatic sorting garbage collection bin based on STM32 control. Sci. Technol. Innov. Appl. 25 (2017). (in Chinese) Xiao, F., Fuyan, G., Rui, G., Heng, Z.: Design of automatic sorting garbage collection bin based on STM32 control. Sci. Technol. Innov. Appl. 25 (2017). (in Chinese)
2.
Zurück zum Zitat Wu, B., Deng, X., Zhang, Z., Tang, X.: An intelligent garbage classification system based on convolutional neural networks. Phys. Exp. 39(11). (in Chinese) Wu, B., Deng, X., Zhang, Z., Tang, X.: An intelligent garbage classification system based on convolutional neural networks. Phys. Exp. 39(11). (in Chinese)
3.
Zurück zum Zitat LeCun, Y., Chopra, S., Hadsell, R.: A Tutorial on Energy-Based Lead Learning. MIT Press, Cambridge (2006) LeCun, Y., Chopra, S., Hadsell, R.: A Tutorial on Energy-Based Lead Learning. MIT Press, Cambridge (2006)
4.
Zurück zum Zitat Jeeva, B., Sanjay, V., Purohit, V., Tauro, D.O., Vinay, J.: Design and development of automated intelligent robot using OpenCV. In: International Conference on Design Innovations for 3Cs Compute Communicate Control (2018) Jeeva, B., Sanjay, V., Purohit, V., Tauro, D.O., Vinay, J.: Design and development of automated intelligent robot using OpenCV. In: International Conference on Design Innovations for 3Cs Compute Communicate Control (2018)
5.
Zurück zum Zitat Luo, Q., Ma, H., Tang, L., Wang, Y., Xiong, R.: 3D-SSD: learning hierarchical features from RGB-D images for a modal 3D object detection. Neurocomputing 378(22), 364–374 (2020)CrossRef Luo, Q., Ma, H., Tang, L., Wang, Y., Xiong, R.: 3D-SSD: learning hierarchical features from RGB-D images for a modal 3D object detection. Neurocomputing 378(22), 364–374 (2020)CrossRef
6.
Zurück zum Zitat Kelly, J.D., Hedengren, J.D.: A steady-state detection (SSD) algorithm to detect non-stationary drifts in processes. J. Process Control 23(3), 326–333 (2013)CrossRef Kelly, J.D., Hedengren, J.D.: A steady-state detection (SSD) algorithm to detect non-stationary drifts in processes. J. Process Control 23(3), 326–333 (2013)CrossRef
7.
Zurück zum Zitat Jiang, H., Chen, Z.: Small intelligent home system with speech recognition based on ARM processor. In: Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019). Science and Engineering Institute (SCIEI): Science and Engineering Institute (SCIEI), pp. 540–545 (2019) Jiang, H., Chen, Z.: Small intelligent home system with speech recognition based on ARM processor. In: Proceedings of 2019 the 9th International Workshop on Computer Science and Engineering (WCSE 2019). Science and Engineering Institute (SCIEI): Science and Engineering Institute (SCIEI), pp. 540–545 (2019)
8.
Zurück zum Zitat Wang, L.: Design of speech recognition system based on LD3320 chip. In: Proceedings of 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control (ICMEMTC 2016). Computer Science and Electronic Technology International Society, pp. 205–208 (2016) Wang, L.: Design of speech recognition system based on LD3320 chip. In: Proceedings of 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control (ICMEMTC 2016). Computer Science and Electronic Technology International Society, pp. 205–208 (2016)
9.
Zurück zum Zitat Khazaee, A., Zarchi, H.A., Markadeh, G.R.A.: Real-time maximum torque per ampere control of brushless DC motor drive with minimum torque ripple. IEEE Trans. Power Electron. 35(2), 1194–1199 (2020)CrossRef Khazaee, A., Zarchi, H.A., Markadeh, G.R.A.: Real-time maximum torque per ampere control of brushless DC motor drive with minimum torque ripple. IEEE Trans. Power Electron. 35(2), 1194–1199 (2020)CrossRef
10.
Zurück zum Zitat Junlin, Y., Kai, F., Kaipeng, W.: Intelligent recognition mobile platform based on STM32. In: International Conference on Circuits, Systems and Devices (2019) Junlin, Y., Kai, F., Kaipeng, W.: Intelligent recognition mobile platform based on STM32. In: International Conference on Circuits, Systems and Devices (2019)
Metadaten
Titel
Intelligent Garbage Classification System Based on Open MV
verfasst von
Hanxu Ma
Zhongfu Liu
Yujia Zhai
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-33-4572-0_1

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