Garbage Classifier Using Arduino

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Year : May 22, 2024 at 3:28 pm | [if 1553 equals=””] Volume :11 [else] Volume :11[/if 1553] | [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] : 01 | Page : 18-23

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Ved Deshmukh, Aryan Bhende, Gaurav Tokse, A. D. Vidhate

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  1. Student, Student, Student, Professor Department of Electronics &; Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics &; Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics &; Telecommunication, Sinhgad College of Engineering, Savitribai Phule University, Department of Electronics &; Telecommunication, Sinhgad College of Engineering, Savitribai Phule University Maharashtra, Maharashtra, Maharashtra, Maharashtra India, India, India, India
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Abstract

nIn today’s era, where prioritizing sustainable methods of waste disposal is crucial, a pioneering initiative titled “Garbage Collection using Arduino Nano ” stands out as a revolutionary approach to refining the traditional, labor-intensive methods of household waste collection. Utilizing the Arduino Nano microcontroller, this project introduces a sophisticated waste management system equipped with diverse sensors and mechanisms. Through the automation of waste collection, this avant-garde system not only enhances efficiency but also champions the cause of environmental stewardship. Through the detection of these acoustic signatures, the system adeptly differentiates between biodegradable waste, recyclables, and nonrecyclables. This initiative is a blend of technological innovation, ecological awareness, and mechanization, aiming to revolutionize waste management and classification. It seeks to make a substantial contribution towards a greener, more sustainable future by altering our waste disposal habits, thereby exerting a beneficial effect on the environment.

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Keywords: Sustainable waste disposal, Waste management system, Environmental stewardship, Arduino, Audio Sensor

n[if 424 equals=”Regular Issue”][This article belongs to Journal of Mechatronics and Automation(joma)]

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[/if 424][if 424 equals=”Special Issue”][This article belongs to Special Issue under section in Journal of Mechatronics and Automation(joma)][/if 424][if 424 equals=”Conference”]This article belongs to Conference [/if 424]

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How to cite this article: Ved Deshmukh, Aryan Bhende, Gaurav Tokse, A. D. Vidhate. Garbage Classifier Using Arduino. Journal of Mechatronics and Automation. May 22, 2024; 11(01):18-23.

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How to cite this URL: Ved Deshmukh, Aryan Bhende, Gaurav Tokse, A. D. Vidhate. Garbage Classifier Using Arduino. Journal of Mechatronics and Automation. May 22, 2024; 11(01):18-23. Available from: https://journals.stmjournals.com/joma/article=May 22, 2024/view=0

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References

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  1. Wahidur Rahman, Rahabul Islam, Arafat Hasan,Nasima Islam Bithi, Md. Mahmodul Hasan, Mohammad Motiur Rahman, Intelligent waste management system using deep learning with IoT, Journal of King Saud University – Computer and Information Sciences, Volume 34, Issue 5, 2022, , pp.2072-2087
  2. Cheema, S.M.; Hannan, A.; Pires, I.M. Smart Waste Management and Classification Systems Using Cutting Edge Approach. Sustainability 2022, 14
  3. Nnamoko, N.; Barrowclough, J.; Procter, J.Solid Waste Image Classification Using Deep Convolutional Neural Network. Infrastructures ,2022, pp,7- 47.
  4. Wahyutama, A.B.; Hwang, M. YOLO-Based Object Detection for Separate Collection of Recyclables and Capacity Monitoring of Trash Bins.Electronics2022, 11, 1323
  5. Joshi, P. Dev and G. Geetha, “Garbage Classification Using Deep Learning,” 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India, 2023, pp. 809-814
  6. Likotiko, Y. Matsuda and K. Yasumoto, “Garbage Content Estimation Using Internet of Things and Machine Learning,” in IEEE Access, vol.11, pp. 13000-13012
  7. V. Perez et al., “Implementation of Convolutional Neural Network of Non-Biodegradable Garbage Classifier and Segregator Based on VGG16 Architecture,” TENCON 2023 – 2023 IEEE Region 10 Conference (TENCON), Chiang Mai, Thailand, 2023, pp. 501-506
  8. Patsis and W. Verhelst, “A Speech/Music/Silence/Garbage/ Classifier forSearching and Indexing Broadcast News Material,” 2008 19th International Workshop on Database and Expert Systems Applications, Turin, Italy, 2008, pp. 585-589
  9. R., R. P., V. S., K. R. and G. M., “Deep Learning based Smart Garbage Classifier for Effective Waste Management,” 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2020, pp. 1086-1089
  10. Aswin Raaju, J. Mappilllai Meeran, M. Sasidharan and K. Premkumar, “IOT Based Smart Garbage Monitoring System Using ZigBee,” 2019 IEEE International Conference on System,Computation, Automation and Networking (ICSCAN), Pondicherry, India, 2019, pp. 1-7

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[if 424 not_equal=””]Regular Issue[else]Published[/if 424] Subscription Original Research

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Journal of Mechatronics and Automation

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[if 344 not_equal=””]ISSN: 2455-1988[/if 344]

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Volume 11
[if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] 01
Received April 25, 2024
Accepted May 3, 2024
Published May 22, 2024

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