Holistic Trash Collection System Integrating Human Collaboration with Technology
Effective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balan...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/20/11263 |
| _version_ | 1797447117919223808 |
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| author | Raazia Saher Matasem Saleh Madiha Anjum |
| author_facet | Raazia Saher Matasem Saleh Madiha Anjum |
| author_sort | Raazia Saher |
| collection | DOAJ |
| description | Effective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balance of ecosystems and pose threats to biodiversity. The emission of carbon dioxide, methane, and greenhouse gases (GHGs) can constitute a significant factor in the progression of global warming and climate change, consequently giving rise to atmospheric pollution. This pollution, in turn, has the potential to exacerbate respiratory ailments, elevate the likelihood of cardiovascular disorders, and negatively impact overall public health. Hence, efficient management of trash is extremely crucial in any society. It requires integrating technology and innovative solutions, which can help eradicate this global issue. The internet of things (IoT) is a revolutionary communication paradigm with significant contributions to remote monitoring and control. IoT-based trash management aids remote garbage level monitoring but entails drawbacks like high installation and maintenance costs, increased electronic waste production (53 million metric tons in 2013), and substantial energy consumption for always-vigilant IoT devices. Our research endeavors to formulate a comprehensive model for an efficient and cost-effective waste collection system. It emphasizes the need for global commitment by policymakers, stakeholders, and civil society, working together to achieve a common goal. In order to mitigate the depletion of manpower, fuel resources, and time, our proposed method leverages quick response (QR) codes to enable the remote monitoring of waste bin capacity across diverse city locations. We propose to minimize the deployment of IoT devices, utilizing them only when absolutely necessary and thereby allocating their use exclusively to central garbage collection facilities. Our solution places the onus of monitoring garbage levels at the community level firmly on the shoulders of civilians, demonstrating that a critical aspect of any technology is its ability to interact and collaborate with humans. Within our framework, citizens will employ our proposed mobile application to scan QR codes affixed to waste bins, select the relevant garbage level, and transmit this data to the waste collection teams’ database. Subsequently, these teams will plan for optimized garbage collection procedures, considering parameters such as garbage volume and the most efficient collection routes aimed at minimizing both time and fuel consumption. |
| first_indexed | 2024-03-09T13:50:11Z |
| format | Article |
| id | doaj.art-81a73c8a0e55449287a1020712ec319d |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T13:50:11Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-81a73c8a0e55449287a1020712ec319d2023-11-30T20:51:36ZengMDPI AGApplied Sciences2076-34172023-10-0113201126310.3390/app132011263Holistic Trash Collection System Integrating Human Collaboration with TechnologyRaazia Saher0Matasem Saleh1Madiha Anjum2Computer Engineering Department, College of Computer Science and Information Technology (CCSIT), King Faisal University, P.O. Box 400, Hofouf 31982, Al-Ahsa, Saudi ArabiaTelecom Division, Emaar Altelal, P.O. Box 7239, Hofouf 31982, Al-Ahsa, Saudi ArabiaComputer Engineering Department, College of Computer Science and Information Technology (CCSIT), King Faisal University, P.O. Box 400, Hofouf 31982, Al-Ahsa, Saudi ArabiaEffective waste management is of paramount importance as it contributes significantly to environmental preservation, mitigates health hazards, and aids in the preservation of precious resources. Conversely, mishandling waste not only presents severe environmental risks but can also disrupt the balance of ecosystems and pose threats to biodiversity. The emission of carbon dioxide, methane, and greenhouse gases (GHGs) can constitute a significant factor in the progression of global warming and climate change, consequently giving rise to atmospheric pollution. This pollution, in turn, has the potential to exacerbate respiratory ailments, elevate the likelihood of cardiovascular disorders, and negatively impact overall public health. Hence, efficient management of trash is extremely crucial in any society. It requires integrating technology and innovative solutions, which can help eradicate this global issue. The internet of things (IoT) is a revolutionary communication paradigm with significant contributions to remote monitoring and control. IoT-based trash management aids remote garbage level monitoring but entails drawbacks like high installation and maintenance costs, increased electronic waste production (53 million metric tons in 2013), and substantial energy consumption for always-vigilant IoT devices. Our research endeavors to formulate a comprehensive model for an efficient and cost-effective waste collection system. It emphasizes the need for global commitment by policymakers, stakeholders, and civil society, working together to achieve a common goal. In order to mitigate the depletion of manpower, fuel resources, and time, our proposed method leverages quick response (QR) codes to enable the remote monitoring of waste bin capacity across diverse city locations. We propose to minimize the deployment of IoT devices, utilizing them only when absolutely necessary and thereby allocating their use exclusively to central garbage collection facilities. Our solution places the onus of monitoring garbage levels at the community level firmly on the shoulders of civilians, demonstrating that a critical aspect of any technology is its ability to interact and collaborate with humans. Within our framework, citizens will employ our proposed mobile application to scan QR codes affixed to waste bins, select the relevant garbage level, and transmit this data to the waste collection teams’ database. Subsequently, these teams will plan for optimized garbage collection procedures, considering parameters such as garbage volume and the most efficient collection routes aimed at minimizing both time and fuel consumption.https://www.mdpi.com/2076-3417/13/20/11263trash collection systeminternet of thingsremote garbage level monitoringQR code-based waste collectionintegrating technology in the waste collectionhuman collaboration |
| spellingShingle | Raazia Saher Matasem Saleh Madiha Anjum Holistic Trash Collection System Integrating Human Collaboration with Technology Applied Sciences trash collection system internet of things remote garbage level monitoring QR code-based waste collection integrating technology in the waste collection human collaboration |
| title | Holistic Trash Collection System Integrating Human Collaboration with Technology |
| title_full | Holistic Trash Collection System Integrating Human Collaboration with Technology |
| title_fullStr | Holistic Trash Collection System Integrating Human Collaboration with Technology |
| title_full_unstemmed | Holistic Trash Collection System Integrating Human Collaboration with Technology |
| title_short | Holistic Trash Collection System Integrating Human Collaboration with Technology |
| title_sort | holistic trash collection system integrating human collaboration with technology |
| topic | trash collection system internet of things remote garbage level monitoring QR code-based waste collection integrating technology in the waste collection human collaboration |
| url | https://www.mdpi.com/2076-3417/13/20/11263 |
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