Relevant bibliographies by topics / Smart waste bin

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers
  5. Reports

Academic literature on the topic 'Smart waste bin'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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Journal articles on the topic "Smart waste bin"

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Karuppiah, N., S. Senthil Kumar, S. Ravivarman, P. Joel Joshuva, A. Prabhu, and R. Arun Kumar. "Wastage Pay Smart Bin." International Journal of Engineering & Technology 7, no. 4.6 (2018): 193. http://dx.doi.org/10.14419/ijet.v7i4.6.20461.

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The separation of waste materials into degradable and non-degradable waste is one of the major issues in our country. As the plastic materials cause major harm to the humans as well as the environment it should be separated and effectively recycled. The non-degradable plastic wastes do not allow the rain water to pass through it thereby decreasing the ground water level. If these wastes are burnt, it emits carbon monoxide which is harmful to the humans. Our project is to encourage the people to dump and segregate the waste materials in their households using smart bins. The separation of the p
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Hardai, Ibolya, Zsolt István, and Péter Tamás. "S-Bin : Smart Bin Design and Implementation." Advanced Logistic Systems - Theory and Practice 15, no. 1 (2021): 5–11. http://dx.doi.org/10.32971/als.2021.001.

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Nowadays, the increase in consumption and the shortening of the life cycle of products significantly increase the amount of waste generated, causing serious environmental problems. As a result, waste management has become one of the most important tasks of the 21st century, which puts a huge burden on the economy. Waste management means the practical implementation of the protection of the environment from the harmful effects of waste on the entire life cycle of the waste. This is a process that involves the prevention, reduction, separate collection and utilization of waste generated, the tem
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Verma, Abhay. "Smart Compression Bin." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47561.

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Abstract The exponential growth of urban populations has led to an increasing volume of municipal solid waste, challenging traditional waste management practices in terms of efficiency, cost, and environmental sustainability. The Smart Compression Bin presents an innovative solution that integrates real-time monitoring, automated waste compression, and wireless communication to improve public waste collection systems. The bin uses ultrasonic sensors to detect fill levels, triggering a compression mechanism when capacity thresholds are reached. This not only maximizes storage space by reducing
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Diware, Anirudh. "Smart Bin Using IoT." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (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 f
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Jais, Prof Vipin, Tushar Bhanarkar, Kunal Karkade, Nikhil Kare, and Kuldeepak Satekar. "Review of IoT Based Intelligent BINS and Smart Waste Management." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1393–96. http://dx.doi.org/10.22214/ijraset.2022.42554.

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Abstract: Urban India generates tones of wastes annually. Our country faces major challenges associated with waste management. Conventional garbage collection is not efficient since the authorities are not notified until the waste bin is full, and this leads to overflow of waste material. Efficient way of waste disposal and collection of disposed garbage is essential for a sustainable and clean India. This paper presents smart waste management using loT based waste bin for collection and monitoring the level of waste inside bin. The system is implemented using two ultrasonic sensors which is b
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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 (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
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Manupati, Arun, and Humera Begum. "Concept of Smart Trash Separation Bin Model." International Journal for Research in Applied Science and Engineering Technology 11, no. 3 (2023): 586–88. http://dx.doi.org/10.22214/ijraset.2023.49487.

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Abstract: As the population in cities continues to grow, the amount of waste generated also increases. The improper disposal of waste has become a significant challenge for modern cities, leading to environmental pollution and public health issues. To address this challenge, a smart trash separation bin model has been proposed for smart cities. This paper aims to present the development of a smart trash separation bin model and its potential benefits in improving waste management in smart cities. The smart trash separation bin model is designed to sort waste into different categories such as r
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Kumar, Ankit. "Waste management through smart bin." Asian Journal of Research in Business Economics and Management 11, no. 10 (2021): 141–46. http://dx.doi.org/10.5958/2249-7307.2021.00041.4.

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Mirgal, Hrutuja, Akash Hursad, Jatin Ijmulwar, Mitesh Ikar, and Inderdeep Singh. "Smart Bin for Waste Management." International Journal for Research in Applied Science and Engineering Technology 10, no. 10 (2022): 1141–43. http://dx.doi.org/10.22214/ijraset.2022.47116.

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Abstract: The aim and object of this project is to prepare a Smart Bin for the collection of Metal and non metal so that they can be easily separated. What this project will do is, Separate the metal and non metal from the waste. Metal will be detected by the help of Proximity Inductive sensor and will be separated as metal by the help of servo motor.
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Afolalu, Sunday A., Ayodeji A. Noiki, Omolayo M. Ikumapayi, Adebayo T. Ogundipe, and Olamilekan R. Oloyede. "Development of Smart Waste Bin for Solid Waste Management." International Journal of Sustainable Development and Planning 16, no. 8 (2021): 1449–54. http://dx.doi.org/10.18280/ijsdp.160805.

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Growing urbanisation in developing countries, population growth, and changes in human activities and consumption patterns have resulted in significant amounts of trash that must be appropriately disposed of, treated, and managed to provide a sustainable environment and a reasonable standard of life for the growing population. The aim of the paper is to design a smart dustbin for proper disposal of waste without any human intervention by providing a smart technology for waste system monitoring, reducing human time, effort, and intervention. This paper presents a smart waste bin integrated with
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Dissertations / Theses on the topic "Smart waste bin"

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PRACUCCI, Alessandro. "Smart Biogas Grid: biogas utilization to operate diffused micro-generation solutions in urban areas through the bio-waste exploitation." Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2488164.

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'Smart Biogas Grid' investigates the potential, the opportunity and the applicability of biogas systems as renewable energy source within urban district. The research uses a multi and inter-disciplinary approach inside a systemic view to analyze aspects that affect biogas promotion and diffusion within existing urban patterns. Urban biogas involves considerations that, starting from bio-waste separated collection of household waste, garden waste and wastewater, sets solution to use biogas as energy vector suitable to activate processes of local engagement with results in environmental, energy,
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DOMINIC, ONGERI ABUGA. "REAL-TIME SMART GARBAGE BIN MECHANISM FOR SOLID WASTE MANAGEMENT IN SMART CITIES BASED ON IOT." Thesis, 2021. http://dspace.dtu.ac.in:8080/jspui/handle/repository/18936.

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Unprecedented urbanization and rapid population growth have increased waste generated annually, posing significant challenges to cities globally. The annual World Health Organization reports indicate that we lose many people to preventable diseases because of improper waste disposal and management. The provision of garbage bins is not good enough to manage waste in our smart cities. The major problem is that garbage bins fill up so quickly, and it takes time for municipal workers to notice. This research project focuses on real-time smart garbage bin for solid waste management for
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Costa, José Tiago Barata Pereira da. "Waste management in smart cities: Optimization of waste container’s capacity using fixed-frequency collection." Master's thesis, 2020. http://hdl.handle.net/10071/20971.

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One of the main problems of modern societies is the control of the production flow and removal of urban solid waste, due to the continuous massification of urban areas. This dissertation focuses on the need to reduce the impact of human activity over the environment through the management of urban solid waste. It describes how technological advancements can lead to an increase in the sustainability of urban development, through more efficient planning and reduction of logistics costs and pollution emissions. The work uses data of the product 360Waste from Evox Technologies, a company of a fo
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Book chapters on the topic "Smart waste bin"

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Das, Nivedita, Jyotiprakash Panigrahi, Chandrima Roy, and Biswaranjan Acharya. "Smart Waste Bin Using AI, Big Data Analytics and IoT." In IoT-Based Smart Waste Management for Environmental Sustainability. CRC Press, 2022. http://dx.doi.org/10.1201/9781003184096-3.

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Bondre, Vipin, Kunal Tajne, Sampada Ghode, Rithik Gondralwar, Prajakta Satpute, and Sanket Ramteke. "Design and Development of Smart Waste Management Automatic Bin." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7447-2_10.

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Atwah, Rasha, Rewaa Barakat, Taraf Alsubaie, and Dana Zuhairy. "Smart Classification Recycle Bin with a Reward Point System." In Proceedings in Technology Transfer. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-97-8588-9_18.

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Abstract Improper waste disposal may release toxins, including methane gas, to the environment, potentially contributing to the greenhouse effect. In accordance with the 2030 vision of the Kingdom of Saudi Arabia to produce a sustainable, healthy environment, we designed and implemented a prototype smart recycling bin that effectively classifies and sorts recyclable materials deposited by consumers and provides real-time monitoring of the bin for adverse conditions. Additionally, a reward system is incorporated to incentivize consumers to engage in recycling programs. The Smart Classification
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Orimogunje, Abidemi M., Olamide V. Fred-Ahmadu, Adeyinka A. Adewale, et al. "Design and Development of Smart Waste Bin for Effective Waste Collection and Management." In Futuristic Trends in Networks and Computing Technologies. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5037-7_26.

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Yadukrishnan, T. G., Saveo Biju, Nidhin Johnson, et al. "IoT-Based Smart Bin for Waste Management—Toward Empowering Sustainability." In Innovations in Sustainable Technologies and Computing. Springer Nature Singapore, 2024. https://doi.org/10.1007/978-981-97-7831-7_10.

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Roy, Arindam, Apurba Manna, Jungmin Kim, and Ilkyeong Moon. "Integrated Planning of IoT-Based Smart Bin Allocation and Vehicle Routing in Solid Waste Management." In Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0_55.

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Fahriza,, Ryan, and Eka Yuliana. "Smart Waste Management: Revolutionizing Waste Bank in Bandung (Indonesia)." In Studies in Big Data. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-73632-2_57.

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Valero, M. R., B. J. Hicks, and A. Nassehi. "A Conceptual Framework of a Digital-Twin for a Circular Meat Supply Chain." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-18326-3_19.

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AbstractEvery year more than 900 million tonnes of food is wasted, contributing to almost 10% of total greenhouse gas emissions. Reducing food waste has been identified as essential to tackle the current climate crisis, and links to several UN’s sustainable development goals. This is especially critical for energy and resource-intensive food products like meat, whose consumption is predicted to reach an historical maximum by 2030. Whilst wastage occurs at all stages of the supply chain, tractable data about the journey of food from production to consumer remains largely hidden or unrecorded. P
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Agrawal, Vaibhav, and Rejo Mathew. "Waste Management Techniques for Smart Cities." In Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019). Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43192-1_55.

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Sharma, Neelam, Surbhi Gupta, Shefali Kanwar, and Vanieka. "Smart Waste Management System Using a Convolutional Neural Network Model." In Big Data, Cloud Computing and IoT. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003298335-14.

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Conference papers on the topic "Smart waste bin"

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Acorda, Gladwin, Ariel M. Lorenzo, Marianne Avila, et al. "rECOnnect: Smart Waste Bin for Internet Access." In 2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM). IEEE, 2024. https://doi.org/10.1109/cenim64038.2024.10882752.

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T, Rajakumari S., and Sritama Roy. "Waste Management: A Telegram — Integrated Smart Garbage Bin." In 2024 2nd International Conference on Emerging Trends in Engineering and Medical Sciences (ICETEMS). IEEE, 2024. https://doi.org/10.1109/icetems64039.2024.10964987.

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R, Rubia Gandhi R., Shanmugapriya M, Sridevi G, Subramaniam M, D. Kavitha, and M. Siva Ramkumar. "Redefining Biomedical Waste Management Through Advanced Smart Bin Technology." In 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA). IEEE, 2024. https://doi.org/10.1109/icscsa64454.2024.00097.

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Kar, Arijeet, Aniruddha Upadhyay, Pradipta Chakraborty, et al. "Optimization of Waste Monitoring and Controlling Using Smart Bin." In 2024 4th International Conference on Computer, Communication, Control & Information Technology (C3IT). IEEE, 2024. https://doi.org/10.1109/c3it60531.2024.10829421.

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Ngo, Tien Sang, Thi Thu Phuong Nguyen, Vu Quang Nguyen, et al. "Vision-Based Household Waste Classification and Smart Bin Development." In 2024 13th International Conference on Control, Automation and Information Sciences (ICCAIS). IEEE, 2024. https://doi.org/10.1109/iccais63750.2024.10814217.

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Singh, Abhishek, Aranya Banerjee, Samayita Chatterjee, et al. "Sustainable Smart Trash Bin Based Waste Segregation and Collection System." In 2024 4th International Conference on Computer, Communication, Control & Information Technology (C3IT). IEEE, 2024. https://doi.org/10.1109/c3it60531.2024.10829486.

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G, Ashwini, Sahana K, T. R. Bhoomika, Saswati Behera, T. Thulasi, and Usha Desai. "IoT Enabled Biomedical Smart Waste Bin Monitoring System using YOLO Algorithm." In 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS). IEEE, 2024. http://dx.doi.org/10.1109/iicccs61609.2024.10763584.

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SrirengaNachiyar, V., R. Chandralekha, R. Kasi Raman, V. Krishnameera, A. Guna, and S. Harini Shriram. "Smart Bin System Based on IoT for Effective Food Waste Management." In 2025 4th International Conference on Sentiment Analysis and Deep Learning (ICSADL). IEEE, 2025. https://doi.org/10.1109/icsadl65848.2025.10933108.

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Swathika, R., Srinivasan Raghavan, N. Radha, and Subhalakshmi Chellakumar. "Catalyzing Domestic Waste Management: A Deep Learning and IoT Enabled Smart Bin." In 2024 Second International Conference on Inventive Computing and Informatics (ICICI). IEEE, 2024. http://dx.doi.org/10.1109/icici62254.2024.00053.

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Azhar, Nur Zulaikha Binti, Noor Hasimah Ibrahim Teo, Raseeda binti Hamzah, Rosniza binti Roslan, and Ruhaila Maskat. "A Hybrid ResNet — MobileNet Deep Learning Model for Smart Bin Waste Classification." In 2024 5th International Conference on Artificial Intelligence and Data Sciences (AiDAS). IEEE, 2024. http://dx.doi.org/10.1109/aidas63860.2024.10730599.

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Reports on the topic "Smart waste bin"

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Davidson, Susannah, Jaime Miranda Ramirez, Atalia Matos Aguiar, et al. Smart sensors to reduce installation solid waste. Engineer Research and Development Center (U.S.), 2024. https://doi.org/10.21079/11681/49503.

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Sensors were deployed by the research team in interior waste bins at Army installation buildings to collect data on waste generation at the source. The sensors were designed to provide granular data on waste generation that stakeholders can use to make informed decisions about solid waste man-agement. Each sensor costs about $300 to fabricate, but bulk fabrication may bring costs down. Sensors were deployed at dining facilities, offices, and barracks, which typically had higher waste volumes. Dining facilities were deemed to be the most useful application because at the other buildings, waste
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Rihm, Alfredo, Carolina Piamonte, Eduardo Antonio Restrepo Lagos, Magda Correal, and Paula Gabriela Guerra Morán. Digital Transformation of Solid Waste Management: Waste Collection Innovation, Business Intelligence, and Digital Technologies to Transition Waste Management Towards Circularity in Latin America and the Caribbean. Edited by Claudia M. Pasquetti. Inter-American Development Bank, 2024. http://dx.doi.org/10.18235/0013169.

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If you are interested in technology and innovation, and have been wondering what are the new trends in technological and digital innovation in the solid waste sector in Latin America and the Caribbean, this publication is for you! The transition to the circular economy, climate action, the fourth industrial revolution bring new challenges to operators in the sector. Key challenges highlighted include the need for robust data and the digitization of waste management systems to meet the objectives of the circular economy. The text details the efforts of organizations such as the IDB to develop d
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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Anyang, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007013.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnersh
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