Image Processing on Plastic Bottle Reverse Vending Machine to Enhance Community Plastic Waste Management

Johanes Arya Pramesta Nugraha, Ridwan Sanjaya, Freddy Koeswoyo, Andre Kurniawan Pamudji

Abstract


The problem of plastic waste is being addressed in a variety of ways, ranging from manual waste sorting to reverse vending machines. On the other side, businesses are becoming increasingly concerned about waste management. Several ways to producing reverse vending machines have been tested, including the use of plastic sensors. However, the findings were unsatisfactory due to imprecise detection. This study looks into the use of ESP32-Cam combined with machine learning for high-precision plastic bottle detection in reverse vending machines. It is envisioned that high-precision plastic bottle detection would be used in reverse vending machines. It is intended that by providing an incentive for each identified plastic bottle, people will be motivated to collect plastic bottles and deposit them into reverse vending machines, thereby supporting digital humanities through enhanced waste management practices.


Keywords


digital humanities; esp32-cam; iot; machine learning; plastic bottle; reverse vending machine

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References


O. Rozenstein, E. Puckrin, and J. Adamowski, “Development of a New Approach Based on Midwave Infrared Spectroscopy for Post-Consumer Black Plastic Waste Sorting in the Recycling Industry.,” Waste Manag, vol. 68, pp. 38–44, Oct. 2017, doi: 10.1016/j.wasman.2017.07.023.

S. Kumar et al., “Challenges and Opportunities Associated With Waste Management in India,” R Soc Open Sci, vol. 4, no. 3, p. 160764, Mar. 2017, doi: 10.1098/rsos.160764.

A. Gaur, R. Priyadarshini, and D. Mathuria, “A Simple Approach to Design Reverse Vending Machine,” International Journal of Electronics, Electrical and Computational System (IJEECS), vol. 7, no. 3, pp. 110–119, 2018.

D. Hantoko, X. Li, A. Pariatamby, K. Yoshikawa, M. Horttanainen, and M. Yan, “Challenges and Practices on Waste Management and Disposal During COVID-19 Pandemic,” J Environ Manage, vol. 286, p. 112140, May 2021, doi: 10.1016/j.jenvman.2021.112140.

Sistem Informasi Pengelolaan Sampah Nasional, “Performance Achievements in Waste Management,” Kementrian Lingkungan Hidup dan Kehutanan. Accessed: Jun. 12, 2024. [Online]. Available: https://sipsn.menlhk.go.id/sipsn/

S. Suminto, “Ecobrick: a Smart and Creative Solution to Tackle Plastic Waste,” Productum: Jurnal Desain Produk (Pengetahuan dan Perancangan Produk), vol. 3, no. 1, pp. 26–34, 2017.

C.-F. Chow, W.-L. Wong, C.-S. Chan, Y. Li, Q. Tang, and C.-B. Gong, “Breakdown of Plastic Waste Into Economically Valuable Carbon Resources: Rapid and Effective Chemical Treatment of Polyvinylchloride With the Fenton Catalyst,” Polym Degrad Stab, vol. 146, pp. 34–41, Dec. 2017, doi: 10.1016/j.polymdegradstab.2017.09.016.

W. G. P. Dumpayan, M. L. M. De Mesa, N. D. F. Yucor, E. T. Gabion, J. D. Reynoso, and G. R. M. Geslani, “Two-way powered microcontroller-based plastic bottles ‘drop-and-tap’ reverse vending machine with stored value system using radio frequency identification (RFID) scanner technology,” in IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM), IEEE, Dec. 2017, pp. 1–8. doi: 10.1109/HNICEM.2017.8269433.

L. G. A. Barboza, A. Dick Vethaak, B. R. B. O. Lavorante, A.-K. Lundebye, and L. Guilhermino, “Marine microplastic debris: An emerging issue for food security, food safety and human health,” Mar Pollut Bull, vol. 133, pp. 336–348, Aug. 2018, doi: 10.1016/j.marpolbul.2018.05.047.

R. Tomari, A. A. Kadir, W. N. W. Zakaria, M. F. Zakaria, M. H. A. Wahab, and M. H. Jabbar, “Development of Reverse Vending Machine (RVM) Framework for Implementation to a Standard Recycle Bin,” Procedia Comput Sci, vol. 105, pp. 75–80, 2017, doi: 10.1016/j.procs.2017.01.202.

P. Handoko et al., “Reverse Vending Machine Exchanges Waste Plastic Bottles With Tickets as a Tool of Currency Exchange,” Seminar Nasional Sains dan Teknologi (Semnastek), 2018.

D. Mariya, J. Usman, E. N. Mathew, H. PH, and A. Azeez, “Reverse Vending Machine for Plastic Bottle Recycling,” International Journal of Computer Science Trends and Technology (IJCST), vol. 8, no. 2, pp. 65–70, 2020.

A. N. Kokoulin and D. A. Kiryanov, “The Optical Subsystem for the Empty Containers Recognition and Sorting in a Reverse Vending Machine,” in 2019 4th International Conference on Smart and Sustainable Technologies (SpliTech), IEEE, Jun. 2019, pp. 1–6. doi: 10.23919/SpliTech.2019.8782990.

M. Sallehuddin, M. Adzaharee, A. Ahmad, M. Muzakkir, and M. Nadzri, “IoT-Based Reverse Vending Machine (RVM) for Recycle Station,” Evolution in Electrical and Electronic Engineering, vol. 2, no. 2, pp. 803–810, 2021, doi: https://doi.org/10.30880/eeee.2021.02.02.096.

R. Tomari, M. F. Zakaria, A. A. Kadir, W. N. Wan Zakaria, and M. H. Abd Wahab, “Empirical Framework of Reverse Vending Machine (RVM) with Material Identification Capability to Improve Recycling,” Applied Mechanics and Materials, vol. 892, pp. 114–119, Jun. 2019, doi: 10.4028/www.scientific.net/AMM.892.114.

D. Situnayake and J. Plunkett, AI at the Edge, 1st ed. O’Reilly Media, Inc., 2023.

V. Pardosi, T. K. Wijaya, F. Hasibuan, M. Algusri, and M. Irsyam, Model Optimalisasi untuk Prototype Robot Tangki IoT Dalam Deteksi Gas dan Suhu. Makassar: Tohar Media, 2024.

Jamaludin et al., Transformasi Digital Dalam Dunia Bisnis. Penerbit Cendikia Mulia Mandiri, 2022.




DOI: https://doi.org/10.24167/sisforma.v12i1.13531

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