Framework of Automated Robotic Dustbin (ARD) for Garbage Collection in Smart Cities with Priority Scheduling Approach

Author(s):  
Anuradha Kanade ◽  
Sanket Prakash Warkhade
2020 ◽  
Vol 16 (2) ◽  
pp. 79
Author(s):  
Miguel Sozinho Ramalho ◽  
Rosaldo J.F. Rossetti ◽  
Nélio Cacho ◽  
Arthur Souza

2021 ◽  
Author(s):  
Dominic Abuga ◽  
Nallanthighal Raghava

Abstract Waste management has been a challenge to many cities globally. Improper disposal of waste is harmful to human beings, flora, and fauna. In human beings, inappropriate waste disposal results in waterborne diseases such as typhoid and cholera, which are very dangerous. Waste collected and dumped in landfills produces methane gas which is more dangerous than carbon dioxide. Methane is a greenhouse gas, causes global warming, which has severe ramifications for our planet. In this paper, the applicability of IoT in solid garbage collection and monitoring framework for smart cities has been put forward. The proposed system is built using a Raspberry Pi Uno board that is interfaced with a weight sensor, ultrasonic sensor, and a GSM modem. The weight sensor will be placed at the bottom of the garbage bin for weight measurement. The Ultrasonic sensor will be affixed at the top of the garbage bin in order to measure the levels of waste. The Raspberry will have to be programmed in such a manner that when the garbage is almost being filled up, the other remaining level/height from the threshold level will be automatically displayed. When the solid waste in the garbage bin reaches the threshold weight, it will also set off the GSM modem, which will notify the person in charge of garbage collection. The personnel will send a message to the administrator in charge of garbage collection vehicles.


Garbage management is a big challenging with increasing population whether in a developing or developed countries. The main problem in Garbage management is that the waste bin at public places gets overflowed well in advance before the cleaning process take place. Because of this provoke several diseases amongst the surrounding people. To avoid this and enhance cleaning process, my project “implementation of smart garbage system in smart cities” will help. My project use to detect level of garbage in bin like (0, 25, 75 and 100). In Each level of garbage in bin status will update on mobile application and led will indicate in front of bin, and we can track bin location depending on the garbage level in mobile application. Bin also has a camera for live streaming it will useful for identifying suspected persons and those who are not fallowing cleaning rules. And Gas sensor for detecting poisons gases in bin


Author(s):  
A. Amarnadha Reddy ◽  
B. Gangadhar ◽  
B Muthukumar ◽  
J Albert Mayan

In most of the cities the overflowed garbage dumpsters are creating an obnoxious smell and making an unhygienic environment. The Collection of garbage is a very much needed municipal service that requires huge expenditures and execution of this operation is high-priced. The high pricing is due to the various factors such as man power, navigation of vehicles, fuel, maintenances and environmental costs. The above factor necessitates the design, implementation and execution of the new Smart Intelligent Garbage Alert System (SIGAS) for the smart cities. This paper focuses on the implementation of an IoT based embedded system which integrates various Sensors & controllers with RF transmitter and receiver for dumpster and vehicle monitoring system with their performance measured in real time environment.


2021 ◽  
Vol 13 (19) ◽  
pp. 11062
Author(s):  
Yuho Shimizu ◽  
Shin Osaki ◽  
Takaaki Hashimoto ◽  
Kaori Karasawa

In smart city services, large volumes of personal information are generally captured, and urban development is based on that data. However, people do not always have accepting attitudes toward smart city services. The purpose of this study was to identify the expectations and anxieties that people have toward five typical services in smart cities (social credit, artificial intelligence (AI) cameras, health information, garbage collection, and automatic vehicles) by using mainly open-ended questions. An online survey was conducted with Japanese participants by presenting them with one of the five vignettes about the services described above. The results showed that the participants’ expectations from each service were distinctly different between the vignettes. Anxieties about the leakage of personal information were found for the vignettes of social credit and health information. For the vignettes of AI cameras and garbage collection, anxieties that privacy would not be sufficiently ensured and that people would be involved in a surveillance society were noted. Additionally, the participants tended to exhibit lower accepting attitudes toward services considered to capture a large amount of personal information. We believe that our findings are meaningful to operators leading smart city projects and researchers in urban planning and psychology.


Waste collection and management is a subject undergoing extensive study, and solutions are being proposed meticulously. Thanks to an exponential rise in population, there is an increased production of waste, and also a significant amount of litter consisting of plastic, paper, and other such products carelessly thrown about and scattered in public. Thus, the need for a more robust waste management strategy is essential. Presently, waste management techniques either lack efficiency, or incur high costs. Several Governmental as well as Non-Governmental Organizations have made efforts to clean public spaces. Collection of the unorganized and scattered garbage is the preliminary and most vital step of waste management, following proper segregation and disposal. This paper proposes, explains, and implements an original concept of making a modular, scalable and cost effective system for garbage collection. Making an efficient use of Internet of Things to maintain a constant connection between a central server and a network of garbage processing and collecting, independent, autonomous robots, we rely upon such a system to produce accurate results, as well as considerably reduce the cost, hence providing a feasible solution to minimize human effort and costs during waste collection. It provides a gateway towards implementing garbage collecting robots in smart cities. Rather than describing the design of a single robot, we propose an entire system of robots interconnected in a network, to optimize time, energy and overall speed. There is always a trade-off between accuracy, efficiency and cost of garbage collection, especially when robots get into the picture. Our purpose is to find the perfect balance between these factors.


2020 ◽  
Vol 16 (2) ◽  
pp. 79
Author(s):  
Nélio Cacho ◽  
Arthur Souza ◽  
Miguel Sozinho Ramalho ◽  
Rosaldo J.F. Rossetti

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