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Journal of Intelligent Systems and Internet of Things
Volume 1 , Issue 2, PP: 102-108 , 2020 | Cite this article as | XML | Html |PDF

Title

Intelligent Waste Management System for Recycling and Resource Optimization

  Ahmed Sleem 1 * ,   Ibrahim Elhenawy 2

1  Ministry of communication and information technology, Egypt
    (Ahmedsleem8000@gmail.com)

2  Faculty of Computers and Informatics, Zagazig University, Zagazig, Sharqiyah, 44519, Egypt
    (ielhenawy@zu.edu.eg)

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Doi   :   https://doi.org/10.54216/JISIoT.010205


Abstract :

This paper proposes a deep learning-based intelligent waste management system that can accurately classify waste types and optimize waste disposal processes. The proposed system utilizes a convolutional model to concisely identify the waste type from images captured by a camera system. Our system uses intelligent data augmentation to perform large datasets of waste item images and achieves a high classification accuracy rate. The waste types are classified into several categories, including glass, cardboard, metal, plastic, paper, and trash. Experimental results show that our system achieves high accuracy rates in waste classification and improves waste disposal efficiency compared to traditional waste management systems. Our system has the potential to significantly reduce the negative impact of waste on the environment and to promote sustainable waste management practices.

Keywords :

Waste Management; Intelligent system; Resource Optimization

References :

[1].  Adedeji, O., & Wang, Z. (2019). Intelligent waste classification system using deep learning convolutional neural network. Procedia Manufacturing, 35, 607-612.

[2].  Bircanoğlu, C., Atay, M., Beşer, F., Genç, Ö., & Kızrak, M. A. (2018, July). RecycleNet: Intelligent waste sorting using deep neural networks. In 2018 Innovations in intelligent systems and applications (INISTA)(pp. 1-7). IEEE.

[3].  Sarc, R., Curtis, A., Kandlbauer, L., Khodier, K., Lorber, K. E., & Pomberger, R. (2019). Digitalisation and intelligent robotics in value chain of circular economy oriented waste management–A review. Waste Management, 95, 476-492.

[4].  Misra, D., Das, G., Chakrabortty, T., & Das, D. (2018). An IoT-based waste management system monitored by cloud. Journal of Material Cycles and Waste Management, 20(3), 1574-1582.

[5].  Pardini, K., Rodrigues, J. J., Kozlov, S. A., Kumar, N., & Furtado, V. (2019). IoT-based solid waste management solutions: a survey. Journal of Sensor and Actuator Networks, 8(1), 5.

[6].  Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., & Hadjieftymiades, S. (2017). Challenges and opportunities of waste management in IoT-enabled smart cities: a survey. IEEE Transactions on Sustainable Computing, 2(3), 275-289.

[7].  Marques, P., Manfroi, D., Deitos, E., Cegoni, J., Castilhos, R., Rochol, J., ... & Kunst, R. (2019). An IoT based smart cities infrastructure architecture applied to a waste management scenario. Ad Hoc Networks, 87, 200-208.

[8].  Shyam, G. K., Manvi, S. S., & Bharti, P. (2017, February). Smart waste management using Internet-ofThings (IoT). In 2017 2nd international conference on computing and communications technologies (ICCCT) (pp. 199-203). IEEE.

[9].  Malinauskaite, J., Jouhara, H., Czajczyńska, D., Stanchev, P., Katsou, E., Rostkowski, P., ... & Spencer, N. (2017). Municipal solid waste management and waste-to-energy in  the context of a circular economy and energy recycling in Europe. Energy, 141, 2013-2044.

[10].  Bhor, V., Morajkar, P., Gurav, M., Pandya, D., & Deshpande, A. (2015). Smart garbage management system. International journal of engineering research & technology (IJERT) , 4(03).

[11].  Folianto, F., Low, Y. S., & Yeow, W. L. (2015, April). Smartbin: Smart waste managemen system. In 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1-2). IEEE.

[12].  Lin, M., & Chen, S. (2013). Efficient and intelligent garbage collection policy for NAND flashbased consumer electronics. IEEE Transactions on Consumer Electronics, 59(3), 538-543.

[13].  Singh, P., & Sharma, V. P. (2016). Integrated plastic waste management: environmental and improved health approaches. Procedia Environmental Sciences, 35, 692-700.

[14].  Singh, P., & Sharma, V. P. (2016). Integrated plastic waste management: environmental and improved health approaches. Procedia Environmental Sciences, 35, 692-700.

[15].  Abbasi, M., & El Hanandeh, A. (2016). Forecasting municipal solid waste generation using artificial intelligence modelling approaches. Waste management, 56, 13-22.

[16].  Abbasi, M., & El Hanandeh, A. (2016). Forecasting municipal solid waste generation using artificial intelligence modelling approaches. Waste management, 56, 13-22.

[17].  Esmaeilian, B., Wang, B., Lewis, K., Duarte, F., Ratti, C., & Behdad, S. (2018). The future of waste management in smart and sustainable cities: A review and concept paper. Waste management, 81, 177-195.

[18].  de Souza Melaré, A. V., González, S. M., Faceli, K., & Casadei, V. (2017). Technologies and decision support systems to aid solid-waste management: a systematic review. Waste management, 59, 567-584.

Cite this Article as :
Style #
MLA Ahmed Sleem, Ibrahim Elhenawy. "Intelligent Waste Management System for Recycling and Resource Optimization." Journal of Intelligent Systems and Internet of Things, Vol. 1, No. 2, 2020 ,PP. 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
APA Ahmed Sleem, Ibrahim Elhenawy. (2020). Intelligent Waste Management System for Recycling and Resource Optimization. Journal of Journal of Intelligent Systems and Internet of Things, 1 ( 2 ), 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
Chicago Ahmed Sleem, Ibrahim Elhenawy. "Intelligent Waste Management System for Recycling and Resource Optimization." Journal of Journal of Intelligent Systems and Internet of Things, 1 no. 2 (2020): 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
Harvard Ahmed Sleem, Ibrahim Elhenawy. (2020). Intelligent Waste Management System for Recycling and Resource Optimization. Journal of Journal of Intelligent Systems and Internet of Things, 1 ( 2 ), 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
Vancouver Ahmed Sleem, Ibrahim Elhenawy. Intelligent Waste Management System for Recycling and Resource Optimization. Journal of Journal of Intelligent Systems and Internet of Things, (2020); 1 ( 2 ): 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
IEEE Ahmed Sleem, Ibrahim Elhenawy, Intelligent Waste Management System for Recycling and Resource Optimization, Journal of Journal of Intelligent Systems and Internet of Things, Vol. 1 , No. 2 , (2020) : 102-108 (Doi   :  https://doi.org/10.54216/JISIoT.010205)
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