A Noble Proposal for Internet of Garbage Bins (IoGB)

Jim, Abdullah Al Jaid; Kadir, Rafiul; Mamun, Md. Abdullah Al; Nahid, Abdullah-Al; Ali, Md. Younus

doi:10.3390/smartcities2020014

Cited by 24 publications

(5 citation statements)

References 7 publications

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“…Where Ref. 31 proposes an IoT infrastructure system incorporating more than data collection, data processing as well as management application integration for waste optimization.…”

Section: Related Workmentioning

confidence: 99%

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

Boudanga,

benhadou,

Medromi

2023

F1000Res

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Background The management of medical waste is a complex task that necessitates effective strategies to mitigate health risks, comply with regulations, and minimize environmental impact. In this study, a novel approach based on collaboration and technological advancements is proposed. Methods By utilizing colored bags with identification tags, smart containers with sensors, object recognition sensors, air and soil control sensors, vehicles with Global Positioning System (GPS) and temperature humidity sensors, and outsourced waste treatment, the system optimizes waste sorting, storage, and treatment operations. Additionally, the incorporation of explainable artificial intelligence (XAI) technology, leveraging scikit-learn, xgboost, catboost, lightgbm, and skorch, provides real-time insights and data analytics, facilitating informed decision-making and process optimization. Results The integration of these cutting-edge technologies forms the foundation of an efficient and intelligent medical waste management system. Furthermore, the article highlights the use of genetic algorithms (GA) to solve vehicle routing models, optimizing waste collection routes and minimizing transportation time to treatment centers. Conclusions Overall, the combination of advanced technologies, optimization algorithms, and XAI contributes to improved waste management practices, ultimately benefiting both public health and the environment.

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“…Where Ref. 31 proposes an IoT infrastructure system incorporating more than data collection, data processing as well as management application integration for waste optimization.…”

Section: Related Workmentioning

confidence: 99%

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

Boudanga,

benhadou,

Medromi

2023

F1000Res

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“…The paper [21] proposes a smart waste management system called the internet of garbage bins (IoGBs), which uses IoT technology to monitor waste bin fill levels and optimize waste collection schedules, reducing operational costs and improving the sustainability of waste management.…”

Section: Literature Surveymentioning

confidence: 99%

Holistic Trash Collection System Integrating Human Collaboration with Technology

Saher,

Saleh,

Anjum

2023

Applied Sciences

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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.

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“…In this techniques of waste management and the IOT innovation are combined together. In this work focus is on find a space for the trash containers [12]. A employee based checking framework was also designed to control a self-sufficient automobile that gathers the waste whilst required [13].…”

Section: Literature Reviewmentioning

confidence: 99%

IoT Enabled Smart Garbage Monitoring System

et al. 2023

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The Internet of Things (IoT) is a commonly used technology because of its various advantages. Building an overall architecture for the IoT is subsequently an unpredictable task, essentially due to the very large variety of gadgets and interface layer advancements. These days many steps are made to provide cleanliness in the country and to make the climate ecofriendly. One of the principle worries with our current scenario has been solid waste management which not only impacts the wellbeing as well as climate. The indication, observation and management of garbage dustbins are one of the fundamental issues of the ongoing time frame.. The traditionally used techniques of physically monitoring the garbage in bins is an awkward cycle and uses more human exertion, time and cost which can undoubtedly be stayed away from with our current innovations. Therefore objective of this paper is to design automated garbage Monitoring System. By using this proposed model people don’t have to screen all of the systems actually and warning will be issued if the container will get filled.

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A Noble Proposal for Internet of Garbage Bins (IoGB)

Cited by 24 publications

References 7 publications

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

An innovative medical waste management system in a smart city using XAI and vehicle routing optimization

Holistic Trash Collection System Integrating Human Collaboration with Technology

IoT Enabled Smart Garbage Monitoring System

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