Journal articles: 'SMART GARBAGE'

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Murugadhas, Dr Jehan, Ms Atheer Ahmed Al-Jabri, and Ms Anwar Mohammed Al-Busaidi. "IoT based Smart Garbage Management System." International Journal of Advanced Networking and Applications 15, no. 01 (2023): 5791–95. http://dx.doi.org/10.35444/ijana.2023.15107.

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Garbage management is an important role in our day-by-day life. If the Garbage is not managed with a proper way, it will spread diseases and pollution. To manage and handle garbage’s we have developed a Smart Garbage Management System. This research work is about an Internet of Things (IoT) based, Smart Garbage Management System to solve the issue and to manage the garbage properly in a timely manner. We aim to create smart garbage management system to help the garbage collection team members as well as all uplift the people in their lifestyle. We have identified the components requirements, analyzing it and found the possible way to smart based solution to identify garbage levels in the bin and proper management to reduce air pollution using IoT.

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Jathar, Aishwarya, Dhananjay Gurav, and Prof L. J. Deokate. "Smart Garbage Collection." IJARCCE 8, no. 5 (May 30, 2019): 21–24. http://dx.doi.org/10.17148/ijarcce.2019.8505.

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Zariman, Asnazulfadhli. "Smart Garbage Monitoring." International Journal of Artificial Intelligence 6, no. 1 (September 20, 2019): 75–81. http://dx.doi.org/10.36079/lamintang.ijai-0601.33.

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This study develops a garbage monitoring based on Internet of Things (IoT) that can be used in the garbage management system in the city. Through this project, it can help to keep the city clean from the rubbish. By using Blynk as an application, this project will monitor the garbage bins and send the notification to the garbage collector about the level of garbage collected in the garbage bins. By receiving the information about the garbage level, the garbage collector will come on time in collecting the rubbish. The objective and purpose in developing smart garbage monitoring system is to save the time between users and the garbage collector. Abstrak: Studi ini mengembangkan pemantauan sampah berdasarkan Internet of Things (IoT) yang dapat digunakan dalam sistem pengelolaan sampah di kota. Melalui proyek ini, dapat membantu menjaga kebersihan kota dari sampah. Dengan menggunakan Blynk sebagai aplikasi, proyek ini akan memantau tempat sampah dan mengirimkan pemberitahuan kepada pemulung tentang tingkat sampah yang dikumpulkan di tempat sampah. Dengan menerima informasi tentang tingkat sampah, pengumpul sampah akan datang tepat waktu dalam mengumpulkan sampah. Tujuan dan tujuan dalam mengembangkan sistem pemantauan sampah pintar adalah untuk menghemat waktu antara pengguna dan pengumpul sampah.

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Patil, Prof Smital D. "Smart Garbage Van." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (April 30, 2018): 3349–53. http://dx.doi.org/10.22214/ijraset.2018.4556.

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Rathi, Sumit. "Smart Garbage Collection System." International Journal for Research in Applied Science and Engineering Technology V, no. IV (April 26, 2017): 758–64. http://dx.doi.org/10.22214/ijraset.2017.4138.

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Diware, Anirudh, Prof Ketaki Katre, Aarti Kalegar, Rajendra Jogdand, and Hanumant Bamdale. "Survey on Smart Bin Using IoT." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (March 31, 2023): 2173–76. http://dx.doi.org/10.22214/ijraset.2023.49899.

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Abstract: Through this project we are trying to prepare the model of a garbage bin in which according to the planning it should detect the garbage and slide the flip of the garbage bin. In this project we have planned to make use of sensors through which the garbage can be detected and accordingly the flip can be slide. Here through this project, we have planned to module the project on the basis of different kind of garbage being usually disposed. In this project the garbage bin is being divided into the basic two types of waste i.e., dry waste and wet waste. Here the sensors will detect not only the garbage but also which kind of garbage is being present there and accordingly open the flip and allow to through the garbage in the bin accordingly.

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Prabhakaran, S., Yugeshkrishnan M, Santhiya M, and Danush Kumar S M. "Smart Dustbin using IOT." Scientific Temper 14, no. 02 (June 6, 2023): 412–17. http://dx.doi.org/10.58414/scientifictemper.2023.14.2.27.

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Living in a technological world that is upgrading day by day, there is one major problem that should be dealt with. Garbage, which is the issue preventing us from developing into a sanitary, clean, and healthy society. In our daily lives, we frequently encounter trash cans that are overflowing with junk. Neither our environment nor our growth benefit from situations like this. Due to the abundance of flies and mosquitoes that breed on the garbage, this issue has a significant negative impact on health. As a result, this project is designed to prevent the trashcan from becoming overfilled by giving it the ability to alert itself when it needs to be cleaned. The smart trash bin system in this project is built on a microcontroller and has ultrasonic sensors on each of the two trash cans to display the garbage's current status on an LCD screen and a smartphone.

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Md Ilyas, Siti Sarah, Muhammad Amirul Rosyad Mohd Halim, Nadia Abdul Wahab, and Norfiza Ibrahim. "IoT-based Smart Garbage Monitoring." Journal of Computing Research and Innovation 6, no. 2 (September 1, 2021): 21–28. http://dx.doi.org/10.24191/jcrinn.v6i2.187.

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Smart Garbage Monitoring System using Arduino and Blynk is an IoT-based project that is integrated with cloud computing service. It was developed specifically to help janitors and residential college representative committee in a public university in Malaysia in monitoring the level of garbage in the dustbin through Blynk application, which makes it easy to empty the dustbin and optimize the garbage collection time. This project uses ultrasonic sensor to measure the level of garbage in the dustbin and the data can be viewed through mobile application, Blynk. It will also notify users through email once the garbage bin capacity is full. Other than notification function, Smart Garbage Monitoring System also consists of automatic open and close lid, track dustbin location and humidity level. The objectives of this project are to design the IoT system that detects the level of the garbage displayed in Blynk and an LCD attached to the dustbin and to validate the user acceptance test for the system. The development of Smart Garbage Monitoring System used the System Development Life Cycle (SDLC) by implementing the agile model as the methodology. A User Acceptance Testing was conducted with 20 respondents including students from the student representatives’ body and janitors. This testing aimed to determine the acceptance of the system by conducting an evaluation. The results of the User Acceptance Test shows that most of the participants agreed and verified that the system works for them and a suitable solution for their problems. Therefore, based on the features and functionalities offered by the Smart Garbage Monitoring System, it could be concluded that this system is beneficial to all the users, especially the janitors and students of the residential college.

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Masane, Mr Gopal V., Miss Roshani A. Naphade, and Mr Dnyaneshwar R. Raut Mr Nilesh M. Verulkar. "Smart Garbage Monitoring System : Present And Future." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 26–31. http://dx.doi.org/10.31142/ijtsrd2473.

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Cheng, Wanying. "Research on garbage sorting and smart bins." Journal of Innovation and Development 2, no. 2 (March 14, 2023): 61–63. http://dx.doi.org/10.54097/jid.v2i2.5914.

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With the continuous innovation of science and technology, the quality of life of Chinese residents has been continuously improved. But behind the growing economy, there is a serious problem of garbage disposal. Aiming at the problems of garbage disposal and recycling, a Raspberry Pi is proposed as the base platform to build an intelligent garbage classification model to realize the design of intelligent garbage classification and recycling. With the help of AI to obtain garbage image recognition, improve the efficiency of garbage sorting, break through the limitation of space, minimize the investment of labor costs, realize smart construction, and have high promotion and application value.

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Imdaadh, M. J. M., M. N. M. Saajidh, A. Ahmed, and S. Ahagaash. "Smart City Garbage Monitoring System." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (November 30, 2022): 515–20. http://dx.doi.org/10.22214/ijraset.2022.47374.

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Abstract: In Sri Lanka, garbage dumping has long been a problem. The regional organizations have made various attempts to address this issue. But unfortunately, no appropriate action has been taken thus far. As a consequence, there are several environmental issues as well as human health issues, particularly among children. As a result, we have suggested some approaches to resolving these issues so that we can advance the nation. The prime objective of the suggested system is to provide a nation free from waste, and the suggested solutions support this objective as well. The suggested approach will benefit the municipality council in a variety of ways, reducing both labour and capital costs. The proposed system will calculate the amount of garbage that has been piled up effectively, giving truck drivers information that can be tracked via a mobile application. The system will warn pedestrians if they attempt to dump garbage out of the bin and also if they pile particular garbage in a different type of a bin other than designated bin. This will aid road cleaners in efficiently collecting garbage other than focusing more collecting trash from the roads. It will improve the garbage segregation process because the designated types of bins are also kept separately and can be utilized by the local bodies as they require, which helps to achieve our objective of this system

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Dhaarani, R., and Ram M. O. Kumar. "Smart Methodology for Garbage Cleaning." International Journal of Scientific Engineering and Technology 6, no. 4 (2017): 142. http://dx.doi.org/10.5958/2277-1581.2017.00005.5.

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Gaddam, Mounica, Venkata Dileep Thatha, Srinivas Ravi Kavuluri, and Gopi Krishna Popuri. "Smart garbage collection management system." International Journal of Engineering & Technology 7, no. 2.7 (March 18, 2018): 193. http://dx.doi.org/10.14419/ijet.v7i2.7.10291.

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Waste management is necessary in today's world because, with the growing population, waste generated by the human is also increasing. Million Tons of waste is being produced by the people all over the world every day. If waste is not properly disposed off, it may lead to huge health issues and it may have adverse effects on our environment also. Among all, waste collection and transportation are one of the costliest stages in solid waste management. As the truck driver must go to each bin every single day and check whether the bin is full or not. If the bin is not full, it is not only waste of time but also wastes of fuel for truck and it also increases pollution due to smoke released from trucks, needs more men for checking all the bins in different routes. In this paper, we are going to propose a smart solution for this problem using the Internet of Things. We use an ultrasonic sensor to measure the size of the bin, and raspberry pi to process the information further. This sensor data will be sent to the cloud using Wi-Fi module of raspberry pi, from the cloud the data is sent to android app. When the trash inside the bin crosses the certain threshold level, that bin and its location are shown in the App using google maps, and the current location of the truck driver is detected, and shortest path is shown. By this the garbage bins can be emptied before the dustbin overflow.

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Bhowmik, Abhijit, Md Saef Ullah Miah, and Mohaimen-Bin-Noor. "IoT (Internet of Things) - Based Smart Garbage Management System." AIUB Journal of Science and Engineering (AJSE) 19, no. 1 (April 29, 2020): 33–40. http://dx.doi.org/10.53799/ajse.v19i1.55.

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IoT –internet of things has become a buzzword nowadays. There are many IoT based researches but researches on garbage management system based on IoT are not sufficient. Insufficient and inefficient garbage management system causes severe environmental problem. It also makes the air toxic. This problem has become a common problem in the world especially in Bangladesh. Dhaka city, the capital of Bangladesh lacks well organized and efficient garbage management system. Maximum roads of Dhaka city are surrounded by garbage. The bad smell of garbage affects people’s mental health, inhaling toxic causes many diseases. Lack of dustbins, throwing of garbage here and there, misuse of dustbins are making city life very unhealthy and also causes a threat to environment. The dustbins are being stolen or damaged which is also a great problem. In this paper, we proposed about an efficient garbage management system based on IoT. This research works aims to provide a minimal solution to this problem using the IoT technology. We propose for a smart garbage system, which consists of sensors, RFID, IR sensors, admin and user website, Wi-Fi module etc. These smart bins will monitor the level of garbage when it will reach 75% of its capacity, it will give notification to the admin website, so the authority concerned can collect the garbage from the bins timely and there will be no overflow of garbage as the authority will get notified earlier. There will be a feature in user website that will let the user know about the nearest smart garbage bins current condition, so if there is any condition that the garbage bin of their place is full they can use the nearest bin. This research work also aims to have secured smart garbage bins, as there is chance the bins to be stolen and damaged so in this research we talk about security of the sensors and the bins will have cement body. So this research is for implementing an efficient garbage management system which will reduce expense on this sector, misuse of bins. Making a clean country, pollution free environment with an efficient and well organized garbage management system can bring a new era. It is expected that the proposed garbage management system will reduce financial cost in this sector as well as reduce problems related to waste management.

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Abba, Sani, and Chinaka Ihechukwu Light. "IoT-Based Framework for Smart Waste Monitoring and Control System: A Case Study for Smart Cities." Engineering Proceedings 2, no. 1 (November 14, 2020): 90. http://dx.doi.org/10.3390/ecsa-7-08224.

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Environmental sanitation is very essential for healthy living. In our daily livelihood, garbage bins are usually kept without proper monitoring until they are filled to the point of overflowing onto the surroundings and spilling out, resulting in environmental pollution, which has serious health-related issues to human beings and the environment. For smart cities, garbage bins need to be monitored and controlled to ensure a healthy and clean environment. In the present technological advancement, real-time monitoring and control of waste disposal is a challenging area that needs urgent attention by the research community. The traditional approach of monitoring waste in garbage bins placed in strategic locations is a very tedious and inefficient way that consumes time, human effort, and cost, and this is also not in agreement with smart city requirements. This research paper presents the design and implementation of an internet of things (IoT) based Arduino microcontroller working with the ultrasonic sensors that detects the level of waste in the garbage bin placed in garbage locations and constantly at regular intervals display the status information as “filled”, “half-filled”, or “empty” on an LCD screen, as well as send the content level information at those intervals to a central web-server system that displays the garbage bin levels graphically. This is achieved using a microcontroller, a Wi-Fi module, and ultrasonic sensors. The programming of the Arduino Uno microcontroller was done with an Arduino IDE and embedded C programming language. The communication with the web server was done using the hypertext preprocessor PHP scripting programming language. The prototype was designed and simulated using Proteus 8.0 professional simulation software. This process helps to automate garbage bin monitoring and control. Experimental results demonstrate a promising solution to waste management and control. A number of testing runs were performed to evaluate the device workability in real situations. The measured distances from the garbage bins were transmitted to a website; this web page performs analytic and visualization and displays a bar chart showing the levels of the garbage waste, time, and location in real time for viewing. The proposed prototype is an innovative system that will help to keep the smart cities clean and tidy using ultrasonic sensors.

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Gothankar, Abhijeet, Shubham Katkar Swapnatej Pawar, and Tejaskumar Dhalmare Suhasini Goilkar. "An Efficient Smart Garbage Disposal System - A Review." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (February 28, 2018): 1506–10. http://dx.doi.org/10.31142/ijtsrd9605.

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Premkumar, R., Jayanarayani K, Lavanya J, Nirubaa A.G, and Thirupurasundari K. "Smart Dumpster Monitoring System." International Journal of Engineering & Technology 7, no. 3.34 (September 1, 2018): 172. http://dx.doi.org/10.14419/ijet.v7i3.34.18940.

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The project is about smart way of collecting and disposing garbage. A system is designed by automatic opening and closing of the lid when the sensor senses the hand motion. The level of the wastes is measured using sonar sensor and the smell from the waste is detected using gas sensor. In order to avoid the smell, sprayer is placed inside the dustbin which is activated when the signal is sent. There is a motor attached to the lid is used to compress the garbage for further dumping. Once the bin is fully filled the lid is closed automatically and a message is send through GSM. The status of the bin will be displayed as a message outside the bin using LCD display. The problem of overflowing of garbage and the smell will be avoided leading to a good hygienic environment.

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Diware, Anirudh. "Smart Bin Using IoT." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 3773–78. http://dx.doi.org/10.22214/ijraset.2023.52204.

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Abstract: The study presents a design and development of a smart garbage bin that can detect dry and wet waste using moisture sensors and ultrasonic sensors and has Bluetooth connectivity for remote monitoring and management. The aim of this study is to evaluate the accuracy, reliability, and potential environmental impact of the smart garbage bin in waste management practices. The smart garbage bin prototype was developed using Arduino technology and integrated with moisture sensors and ultrasonic sensors to accurately detect and classify dry and wet waste. The Bluetooth connectivity allows for real-time monitoring of fill levels and waste composition, optimizing waste collection schedules and routes and reducing costs. The prototype was tested for accuracy and reliability in detecting different types of waste, including paper, plastic, food waste, and liquids, and was found to be highly reliable in detecting and segregating waste accurately.

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Sabade, Akshata. "Smart Hand-Free Trash Manager." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (June 30, 2023): 435–39. http://dx.doi.org/10.22214/ijraset.2023.53682.

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Abstract: Indian Municipal waste management remains a main problem in urban areas, leading to consequential health and environmental issues. Therefore, trash bins are placed in many places to handle municipal solid waste, but dustbins can overfill and spread around the area, spoiling the environment, and creating disturbance to the public. Therefore, a real-time remote monitoring system is required that warns the level of garbage to the firm of waste management or municipality. The proposed structure consists of an ultrasonic sensor to measure the garbage level in the dustbin. ESP32 is a microcontroller board with integrated Wi-fi and Bluetooth that controls the system operation. It is supposed to display messages on the IOT Cloud server regarding the garbage level of the dustbin, whether it is full or empty, so the municipality or respective garbage monitoring company can take required actions in time. Also, there will be a Solar panel to generate the power required to run the system. Furthermore, a system is proposed to contribute to improving the efficiency of solid waste disposal management.

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C, Nikila, and Narmadhai N. "SMART WASTE MANAGEMENT SOLUTION USING IOT FOR SMART CITY." IRO Journal on Sustainable Wireless Systems 5, no. 1 (March 2023): 66–81. http://dx.doi.org/10.36548/jsws.2023.1.006.

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The Internet of Things (IoT) paradigm, which analyses and controls city processes in real-time, serves essential for enhancing applications relevant to smart cities. Solid waste management, which has an adverse impact on both the environment and the overall wellness of the society, is one of the most vital issues connected to smart city applications. Waste produced by city inhabitants and disposed into the garbage cans is where the traditional waste management process starts. On an assigned schedule, trucks from the municipal department collect and transport the discards to the recycling facilities. Outdoor dumpsters receive little attention by municipalities and garbage management firms, making it difficult to know when to clean them or when they are filled. In order to get beyond the drawbacks of conventional waste management systems, this work proposes an IoT-enabled solid waste management approach for smart cities. The proposed layout includes a LoRaWAN gateway, a sensor-enabled anti-littering system, and a bin monitoring system with a GPS module, which are used to track bins in public and residential regions. This approach infers the location and the level of the garbage can, processes the information, and sends it to a central monitoring station for storage and analysis. The garbage collection authority may observe and assess the unfilled status of each trash can, due to an evident Graphical User Interface. Numerous data have been gathered to validate the suggested system architecture, and direct visits to the dump yards have been made in order to analyse the current scenario. As a result of the proposed smart waste management solution using IoT, the life expectancy of living things is said to increase, and this will be clearly visible.

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Azyze, Nur Latif Azyze Mohd Shaari, Ida Syafiza Md Isa, and Thomas See Chin. "IoT-based communal garbage monitoring system for smart cities." Indonesian Journal of Electrical Engineering and Computer Science 27, no. 1 (July 1, 2022): 37. http://dx.doi.org/10.11591/ijeecs.v27.i1.pp37-43.

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In Malaysia, approximately 38,000 metric tons of garbage are generated due to human daily activities. This is due to the growing population in the urban area, hence increasing the tendency of overflowing garbage due to the insufficient space in the garbage container. In addition, the tight schedule of the garbage collection allows the spreading of the toxic odor as the garbage start to rotten up, hence leading to air pollution. Therefore, a systematic waste management system is important to provide a healthy and clean environment to the community. In this work, a communal garbage monitoring system has been developed to notify the administrator of the status of the container. Besides monitoring the level of garbage, the system is also designed to monitor the temperature, humidity, and air quality of the garbage container. These monitored data will be uploaded at the cloud for real-time monitoring. Compared to the other work, a real test-bed implementation has been conducted considering different types of waste including food waste, paper, bottles and metal; to determine the accuracy of the developed system. The results show that the system has high reliability and high accuracy with 96% for food waste and 98% for other types of waste.

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Islam, Md Lutful, Chaudhary Faizan, and Shaikh Mohammad Abdul Quavi. "IOT Based Smart Garbage Monitoring System." International Journal of Computer Sciences and Engineering 7, no. 2 (February 28, 2019): 649–51. http://dx.doi.org/10.26438/ijcse/v7i2.649651.

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Sung, Wen-Tsai, Ihzany Vilia Devi, Sung-Jung Hsiao, and Fathria Nurul Fadillah. "Smart Garbage Bin Based on AIoT." Intelligent Automation & Soft Computing 32, no. 3 (2022): 1387–401. http://dx.doi.org/10.32604/iasc.2022.022828.

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Purao, Aishwarya S., Dipti A. Kamble, Vrushali S. Kamble, and Pooja C. Trimbake. "Smart Garbage Management System using IOT." International Journal of Engineering Research 7, no. 5 (2018): 91. http://dx.doi.org/10.5958/2319-6890.2018.00103.4.

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.., Marwa, Omnia M. .., and Mariam H. Amin. "Smart Garbage Monitoring System using IoT." Journal of Artificial Intelligence and Metaheuristics 2, no. 2 (2022): 29–38. http://dx.doi.org/10.54216/jaim.020203.

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The Internet of Things (IoT) will be able to integrate a wide range of various and heterogeneous end systems transparently and smoothly, while also offering open access to chosen subsets of data for the creation of a wide range of digital services. Solid waste management, which apart upsetting the ecological balance also has negative consequences on societal health, has been one of the key environmental issues. One of the main issues in the modern era is the identification, monitoring of wastes. The conventional method of manually checking the wastes in bins requires more human labor, takes longer, and costs more money. It is in no way compatible with modern technologies. This is a cutting-edge approach to automated garbage management. This project IoT Garbage Monitoring system is a very innovative system which will help greatly in preserving the environment and also makes us benefit from garbage and sell it on form raw materials to be recycled again by recycling factories. System is linked to an android application to show us the current level of each type of garbage using Ultrasonic Sensor and give a warning when the level of any of them is filled.

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Verma, Jyoti, Pallavi Goel, Pratima Manhas, Shaveta Thakral, and Abhiruchi Passi. "IoT Enabled Smart Garbage Monitoring System." E3S Web of Conferences 399 (2023): 04029. http://dx.doi.org/10.1051/e3sconf/202339904029.

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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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Bhuvaneswari, Thangavel, J. Hossen, NurAsyiqinbt Amir Hamzah, P. Velrajkumar, and Oo Hong Jack. "Internet of things (IoT) based smart garbage monitoring system." Indonesian Journal of Electrical Engineering and Computer Science 20, no. 2 (November 1, 2020): 736. http://dx.doi.org/10.11591/ijeecs.v20.i2.pp736-743.

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<p>Garbage waste monitoring, collection and management is one of the primary concerns of the present era due to its detrimental effects on environment. The traditional way of manually monitoring and collecting the garbage is a cumbersome process as it requires considerable human effort and time leading to higher cost. In this paper, an IoT based garbage monitoring system using Thingspeak, an open IoT platform is presented. The system consists of an Arduino microcontroller, an ultrasonic sensor, a load cell and a Wi-Fi module. The Arduino microcontroller receives data from the ultrasonic sensor and load cell. The depth of the garbage in the bin is measured using ultrasonic sensor and the weight of the bin with garbage is measured from the load cell. The LCD screen is used to display the data. The Wi-Fi module transmits the above data to the internet. An open IoT platform Thingspeak is used to monitor the garbage system. With this system, the administrator can monitor and schedule garbage collection more efficiently. A prototype has been developed and tested. It has been found to work satisfactorily. The details are presented in this paper.</p>

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Ghosh, Soumyadeep, Aditya Roy, and Anurima Majumdar. "Smart Garbage Collector Vehicle: A Steps towards Swachh Bharat." International Journal of Research Publication and Reviews 4, no. 6 (June 13, 2023): 2545–54. http://dx.doi.org/10.55248/gengpi.4.623.46505.

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Narayankar, Priyanka M. "Smart Bin: A Much-Needed Revolution in the Garbage Management System." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2714–20. http://dx.doi.org/10.22214/ijraset.2021.37755.

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Abstract: A clean setting is what they want of this era. Within the name of industrialization and development, a man started destroying mother earth. As a result, garbage pickup has crossed the amount of selling. Garbage management could be a serious issue that has been increasing day- by- day. So, managing it became the priority of today’s world. As the man had understood the importance of mother earth moreover as nature. Some pretty solutions had been implying by IoT. Smart cities, smart garbage management systems, smart bins are the different ways to manage waste. This paper includes two better ways of handling waste. The robotic arm and Eddy Current separator concept are used as they are the latest of all. To make the garbage management system more effective these concepts should come in front. Human intervention will be excluded. Making it one of the powerful solutions. Saving our mother earth is the responsibility of every citizen. Though people had understood the importance of our nature and taking the necessary steps to save it. Keywords: Garbage Management System, Smart Bin, Robotic Arm, Eddy Current Separator, Municipal Solid Waste.

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K. Vijaya Sri, Dr, R. Vamsi Krishna, M. J. K. Surya, and D. Venkatesh Babu. "Efficient smart garbage management system using IOT technique." International Journal of Engineering & Technology 7, no. 3.3 (June 8, 2018): 568. http://dx.doi.org/10.14419/ijet.v7i2.33.14836.

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The Proposed Smart Waste Management System is to manage the waste with the help of smart sensors along with data fill-level indication, the garbage existence all over dustbin, containers and garbage bins foul smelling conditions will be sent as an alert to the registered / specified workers as an message. An accredited mobile number that are working in Waste Management Centres gathers fill-level. The remaining of multiple containers information transmitted where it placed all over the marginal location. Gathered data from the above process, utilised for gathering the garbage in a systematic plan and a route-map. Used communication devices in the implemented project transmitted the data from garbage bin to the authorised persons. An eight bit microcontroller i.e Atmega328P regulated the total functionality of this system. This narration demonstrates an effective design of IoT gateway which is utilised for offering the “smart waste management system” framework.

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Nooriman, W. M., R. Y. Lim, M. N. Rudzuan, Y. Sofi, M. M. Fauzi, and A. H. Abdullah. "Design and Development of IoT based Garbage Monitoring and Management System." Journal of Physics: Conference Series 2107, no. 1 (November 1, 2021): 012002. http://dx.doi.org/10.1088/1742-6596/2107/1/012002.

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Abstract Daily garbage production causes increasing in garbage management and cleansing cost which required an approach for better monitoring and management system to be applied. Currently, demand of IoT keep increasing as a part of Industrial Revolution 4.0 (IR4.0). Eventually, this IoT based Garbage Monitoring and Management System has been developed. For hygiene, self-opening dustbin lid is applied and IoT technology is used to integrate better garbage monitoring and management into an innovative and effective system. The development of this smart bin uses a pair of infrared sensors and an ultrasonic, push notifications were developed in Blynk application, and user-friendly infographic data is designed on webpage for monitoring and garbage management purposes. The smart dustbin notifies the user when the garbage level exceeds 80%. The dustbin sends a push notification to the user’s phone to alert the user to take actions needed before the bin exceed the limit.

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J, Nandini, Padmashree V, Pallavi N, and Pavithra K. "SMART DUST BIN." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (August 12, 2022): 327–33. http://dx.doi.org/10.26562/ijirae.2022.v0908.32.

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In our project “SMART DUSTBIN” the thought comes for up Smart cities. The main aim of our project Smart Dustbin is to keep clean buildings, Colleges, Healing centers and Transport and society. The Smart Dustbin is a way of an improvement of ordinary dustbin by elevating it by utilizing sensors. Smart Dustbin is a thought of implementation which makes a typical dustbin smart and modern way of utilizing ultrasonic sensors for hand detection and to indicate message to the control room over the status for utilizing GSM modem. The LED light is utilized to show the level of garbage collected. The LED light appears when the bin is empty, the bin is partially filled and the bin is completely filled. Hence this “SMART DUSTBIN” makes a big difference to keep the city clean by indicating the level and sending an alert to the garbage management system.

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Das, Sarah. "Digital Garbage System using Arduino NANO." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2967–71. http://dx.doi.org/10.22214/ijraset.2021.37880.

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Abstract: Garbage bins or dust bins are those that are put in public places in cities and are currently overflowing due to an increase in waste every day. It harms people's health by spreading deadly infections. To avoid this, smart bins will be designed with sensors such as an infrared sensor, a weight sensor, a photoelectric sensor, and radio frequency identification (RFID) card reader. If someone throws trash into the smart bins, a photoelectric sensor will identify the clear representation objects, and a weight sensor will be positioned beneath the smart bin to calculate the percentage of garbage present it will forward the information to the authorities in charge of that specific location. As a result, the relevant authorities can get messages until the bin is squished, and each bin is assigned a unique ID, which will appear on the screen of the respected officer, allowing them to take fast action. If a person is within two meters radius of the bin that contains an RFID CARD READER, the RFID reader will read all of that person's information and send a message to him about what they placed into the bin, as well as an appreciation message for using the bin. Keywords: Arduino NANO, GSM Module, Smart Dustbin, IoT, Arduino Uno.

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Sharma, Raj Kumar, and Manisha Jailia. "Machine learning and IoT-based garbage detection system for smart cities." Journal of Information and Optimization Sciences 44, no. 3 (2023): 393–406. http://dx.doi.org/10.47974/jios-1349.

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Today, detecting waste, collecting it, processing it, and getting rid of it are among the most significant environmental issues in developing and undeveloped counties. It has been observed that a large amount of garbage remains strewn on the roadside. This study presented a garbage detection technology such as machine learning and gadgets connected to the Internet of Things (IoT), such as an IP-enabled CCTV camera, to take pictures and send them to the city’s main server. The input images are transformed into a two-dimension array of integers using Python modules and divided into the garbage and no garbage classes. There is an 80:20 split between the training and testing datasets from the input dataset. Preprocessed images are then utilised as inputs for a wide range of machine learning and neural network models for classification; these include K-Nearest Neighbour (KNN), Logistic Regression (LR), Naive Bayes (NB), and Support Vector Machine (SVM). The test data sets are applied, and a confusion matrix is formed for all models to analyse the efficiency and performance of the trained models. Results from the confusion matrix are contrasted with those from the area under the Receiver characteristics operating curve (AUC). As a result, the ConvNet model is best suited for classifying garbage or no garbage present in open space, and the LR model proposed best suits the garbage detection problem. The proposed models are best suitable for improving the efficiency of existing garbage identification systems and developing a new system for smart cities.

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Patil, Ashwini, Swati Jha, Uma Kumari, and Surekha KS. "SMART MUNICIPAL SOLID WASTE MANAGEMENT." International Journal of Research -GRANTHAALAYAH 8, no. 4 (April 30, 2020): 127–32. http://dx.doi.org/10.29121/granthaalayah.v8.i4.2020.17.

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Municipal Solid Waste generated by India in urban areas is 62 million tonnes. Only 70% of the total waste is collected and 20% is treated. Most of the solid waste is dumped in landfill sites. This paper targets the reduction in the size of the solid, particularly wet waste. Similar problems have been tackled in other parts of the world. We propose a solution that fits the Indian context. The key idea of Smart Municipal Solid Waste Management system (SMSWM) is to allocate a weekly garbage limit per household in a residential society. The DSS (Decision Support System) designed for this purpose allows the authenticated user to access the smart dustbin. The smart dustbin is equipped with the electronic circuitry where the weight of the garbage in the bin is measured and the value is updated in the database. The database of the families will be created and maintained by the municipality. A web portal gives the involved people and authorities access to the related information. A house is penalized for every kilogram more than the allotted garbage weight limit. Further enhancements are explored. Thus, the residents are incentivized to produce lesser waste.

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Suriyanto, M., Basitha Febrinda Hidayatulail, and Wahyu Dirgantara. "Implementasi Haversine Formula pada Smart Garbage Can." JEECAE (Journal of Electrical, Electronics, Control, and Automotive Engineering) 4, no. 2 (November 30, 2019): 257–64. http://dx.doi.org/10.32486/jeecae.v4i2.350.

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Patel, Nayan, Omkar Mugdum, Tirthesh S. Pawar, Deepshikha Chaturvedi, and Shashikant S. Radke. "Smart Garbage Bin – A Waste Management System." ASIAN JOURNAL OF CONVERGENCE IN TECHNOLOGY 6, no. 3 (December 19, 2020): 100–104. http://dx.doi.org/10.33130/ajct.2020v06i03.016.

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Guntupalli, Sai Reshmanjali. "Smart Bins for Garbage Collection using IoT." International Journal for Research in Applied Science and Engineering Technology 7, no. 3 (March 31, 2019): 1016–22. http://dx.doi.org/10.22214/ijraset.2019.3179.

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Shehu, Lawal Ahmad, Kabiru Ibrahim Jahun, Usman Saleh Toro, Nasiru Abdulsalam, and Muhammad Shazali Dauda. "SMART GARBAGE BIN MONITORING WITH SMS FEEDBACK." International Journal of Engineering Applied Sciences and Technology 5, no. 1 (May 31, 2020): 20–25. http://dx.doi.org/10.33564/ijeast.2020.v05i01.003.

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Srinithi Santhana Lakshmi, V., P. Sujatha, M. Swathi, and P. Premadevi. "SMART GARBAGE ALERT SYSTEM USING MACHINE LEARNING." International Journal of Engineering Applied Sciences and Technology 5, no. 3 (July 31, 2020): 487–89. http://dx.doi.org/10.33564/ijeast.2020.v05i03.078.

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geswari, K. Nagalin, and Krishna Prasad Satamraju. "Efficient Garbage Management System for Smart Cities." International Journal of Engineering Trends and Technology 50, no. 5 (August 25, 2017): 260–65. http://dx.doi.org/10.14445/22315381/ijett-v50p242.

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., Gaikwad Prajakta. "SMART GARBAGE COLLECTION SYSTEM IN RESIDENTIAL AREA." International Journal of Research in Engineering and Technology 04, no. 03 (March 25, 2015): 122–24. http://dx.doi.org/10.15623/ijret.2015.0403021.

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43

Mohd Yusof, Norfadzlia, Aiman Zakwan Jidin, and Muhammad Izzat Rahim. "Smart Garbage Monitoring System for Waste Management." MATEC Web of Conferences 97 (2017): 01098. http://dx.doi.org/10.1051/matecconf/20179701098.

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Azmi, Fadhillah, William William, Kevin Kristanto Salim, Tommy Tiara Hartanto, and Felix Tham. "Design of Smart Trash Can Using Fuzzy Logic Algorithm Based on Arduino." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 3, no. 1 (July 25, 2019): 150. http://dx.doi.org/10.31289/jite.v3i1.2670.

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<span>Smart trash cans use a proximity sensor (ultrasonic) to detect the height of the trash, the PIR (Passive Infra Red) sensor to detect human presence and Arduino as the data processing center. This trash can also has an LED that functions as an indicator and the buzzer functions as an alarm when the trash can is full. If the garbage reaches half of the trash, the LED will turn yellow, if the garbage reaches a height of 4cm from the trash lid, then the LED will turn red and so the trash can will be locked even though the PIR sensor detects humans. Buzzer will live to attract the attention of cleaning officers to dispose of trash. To dispose of garbage, the clerk needs to shift the open and close trash button so that the lid will open. The author hopes that this smart trash can can increase public awareness to dispose of garbage in its place. The results of study show that PIR sensors work by well in detecting the presence of humans and ultrasonic sensors in detecting the height of garbage are not accurate, so that if the trash if the trash can is empty, sometimes the garbage is minus, whereasif the garbage is < 3.5 cm, the sensor fails detect it.</span>

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Rao, K. Aditya, and Dr Ganesh D. "Survey paper on Garbage Collection Management System." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (April 30, 2022): 1327–28. http://dx.doi.org/10.22214/ijraset.2022.41447.

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Abstract: Smart cities integrate multiple mobile or websolutions to build a comfortable human habitation. One of these solutions is to provide an environmentally friendly, efficient and effective garbage management system. The current garbage collection system includes routine garbage trucks doing roundsdaily or weekly, which not only doesn't cover every zone of the city but its completely inefficient use of government resources. The proposed system, where admin manage the garbage app for full online based mointoring and analyze the system. Her admin handle bins, driver, complaints from user and work report from driver. This paper proposes a cost-effective mobile or web based system for the government to utilize available resources to efficiently manage the over whelming amounts of garbage collected each day, while also providing a better solution for the inconvenience of garbage disposal for the citizens. This is done by a driver, app will provide predictive and guide routes generated through for garbage trucks. Then driver update the status of work done will be data collected. An android or web app is developed for the work force and the citizens, which primarily provides the user create complatints available smart bin.

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V, Aswini, Keerthana M, NehaShree G, and Sasmitha S. "A Machine Learning-Based Smart City Garbage Collection System." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (July 31, 2023): 600–606. http://dx.doi.org/10.22214/ijraset.2023.54417.

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Abstract: During the process of smart city construction, city managers always spend a lot of energy and money for cleaning street garbage due to the random appearances of street garbage. Consequently, visual street cleanliness assessmentis particularly important. However, the existing assessment approaches have some clear disadvantages, such as the collection of street garbage information is not automated and street cleanliness assessment is not real-time. To address these disadvantages, this paper proposes an urban street cleanliness assessment approach using mobileedge computing and deep leaning. First the sensor are installed inside the dustbin and obtain up to the particular threshold . then Mobile edge service is used to store and extract street image information temporarily.

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Ravi, V. R., M. Hema, S. SreePrashanthini, and V. Sruthi. "Smart bins for garbage monitoring in smart cities using IoT system." IOP Conference Series: Materials Science and Engineering 1055, no. 1 (February 1, 2021): 012078. http://dx.doi.org/10.1088/1757-899x/1055/1/012078.

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Wang, Ying, and Xu Zhang. "Autonomous garbage detection for intelligent urban management." MATEC Web of Conferences 232 (2018): 01056. http://dx.doi.org/10.1051/matecconf/201823201056.

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With the development of smart city in major cities at home and abroad, especially the management of smart city, how to improve the intelligence level of urban environment monitoring and evaluation has become an important research topic. It is of great value to rapidly and accurately detect garbage from urban images in the application of intelligent urban management. This paper aims to adopt a deep learning strategy for automatic garbage detection. By training a Faster R-CNN open source framework with region proposal network and ResNet network algorithm, we look over garbage detection results on garbage images. In addition, to improve the accuracy of the method, a data fusion and augmentation strategy is proposed. As a result, experiments show that the method has favorable generalization ability and high-precision detection function.

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Zhang, Yin Jun, Zheng Jie Lu, Jian Bo Nie, and Hao Ran Wang. "Design of Intelligent Garbage Can." Applied Mechanics and Materials 741 (March 2015): 19–22. http://dx.doi.org/10.4028/www.scientific.net/amm.741.19.

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Due to the current existing outdoor trash put, cannot effectively separate collection, easy to produce odor and other issues, In this paper we designed a solar intelligent trash. The trash can has a better appearance, can effectively separate collection, automatic flip, the use of solar power to achieve lighting, voice prompts, deodorant and other functions. Smart trash concise design, environmental protection, and harmony.

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Ranjana, P., S. Varsha, and Sherin Eliyas. "IoT Based Smart Garbage Collection Using RFID Andsensors." Journal of Physics: Conference Series 1818, no. 1 (March 1, 2021): 012225. http://dx.doi.org/10.1088/1742-6596/1818/1/012225.

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Journal articles on the topic 'SMART GARBAGE'

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