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Proceedings ArticleDOI

Design and implementation of a smart solid waste monitoring and collection system based on Internet of Things

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TLDR
In the proposed system, the completeness of waste in the dustbins is checked with the help of Sensors used in the system, and information is sent to the required control room through GSM/GPRS system.
Abstract
Solid waste generated is an ever growing problem at local regions or at global levels. There is proper disposal of solid wastes pollute all the components of the green environment (i.e., air, land and water) at regional and global levels. Since there is rapid increase in producing or consumptions, quantity of wastes generated by the urban society has increased. The problem is more faced in the developing countries than in developed countries, as the economic growth as well as urbanization is more rapid. The continuous flow of garbage in all places where public people move around creates the unhygienic situations. It may invoke several injurious diseases among the nearby people. To avoid such a situation and to improve the cleaning, ‘smart waste management system’ is proposed. In the proposed system, the completeness of waste in the dustbins is checked with the help of Sensors used in the system, and information is sent to the required control room through GSM/GPRS system. Renesas Microcontroller is used to communicate the sensor system with GSM system. An android application is been designed to monitor the information related to the waste for different selected locations. Through this the collection of garbage can be made efficiently.

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Citations
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A Smart Waste Management Solution Geared towards Citizens.

TL;DR: The creation of the real prototype of the smart container, the development of the waste management application and a real-scale experiment use case show that the proposed system can efficiently change the way people deal with their garbage and optimize economic and material resources.
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Waste Management and Prediction of Air Pollutants Using IoT and Machine Learning Approach

TL;DR: A smart bin using a machine and deep learning model to manage the disposal of garbage and to forecast the air pollutant present in the surrounding bin environment is presented and improved accuracy is provided by utilizing machine learning as compared to existing solutions based on simple approaches.
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Recent advances in applications of artificial intelligence in solid waste management: A review.

TL;DR: In this article , the authors reviewed the recent advancements in the applications of AI techniques for the management of solid waste and highlighted the key challenges that limit the potential of AI in solid waste.
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A Noble Proposal for Internet of Garbage Bins (IoGB)

TL;DR: A garbage management system integrating the fundamental ideas of smart waste management and ‘Internet of Things’ (IoT) is proposed, which employs smart cyclic containers that rotate one by one after being filled with rubbish like ‘Merry Go Round’.
Proceedings ArticleDOI

IoT BasedSmart Waste Management System: India prospective

TL;DR: A system based on Internet of Things (IoT) that can send a message to corporation about the overflow and toxicity level of the dustbins and a website is developed to supervise the data related to the dustbin status.
References
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Proceedings ArticleDOI

Design and Implementation of a Prototype Smart PARKing (SPARK) System Using Wireless Sensor Networks

TL;DR: The preliminary test results show that the performance of this WSN based system can effectively satisfy the needs and requirements of existing parking hassles thereby minimizing the time consumed to find vacant parking lot, real-time information rendering, and smart reservation mechanisms.
Proceedings ArticleDOI

Solid Waste Management Architecture Using Wireless Sensor Network Technology

TL;DR: A new architecture is proposed with the aim to improve the on-site handling and transfer optimization in the waste management process and makes use of Data Transfer Nodes (DTN) in order to provide to a remote server the retrieved data measurements from the garbage bins filling.
Proceedings ArticleDOI

An approch for monitoring and smart planning of urban solid waste management using smart-M3 platform

TL;DR: Smart-M3 platform solves problems offering a high degree of decoupling and scalability of smart waste management, and a mechanism for collecting “green points” was introduced for encouraging citizens to recycle.
Journal ArticleDOI

Violation analysis for solid waste management systems: an interval fuzzy programming approach

TL;DR: Application of the developed methodology to the planning of a waste management system indicates that reasonable solutions can be generated through this approach, allowing for more in-depth analyses of tradeoffs between environmental and economic objectives as well as those between system optimality and reliability.
Proceedings ArticleDOI

Framework and case studies of intelligence monitoring platform in facility agriculture ecosystem

TL;DR: An intelligent monitoring platform framework and system structure for facility agriculture ecosystem based on IOT, proven to be reliable and adaptable and analyzes and verifies the whole implementation process and selection of decision-making model.