AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal
This ‘Smart Urban Waste Management System’ outlines an innovative architecture for the current challenges in urban waste management through the application of IoT, AI and Blockchain technologies to increase the efficiency, transparency, and sustainability. IoT enabled smart bins with sensors are use...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Subjects: | |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03002.pdf |
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| author | Devi Anusuya Singh Navdeep Thandra Nagarjuna Gupta Navya Salman Zahraa N. Natarajan Karuppiah |
| author_facet | Devi Anusuya Singh Navdeep Thandra Nagarjuna Gupta Navya Salman Zahraa N. Natarajan Karuppiah |
| author_sort | Devi Anusuya |
| collection | DOAJ |
| description | This ‘Smart Urban Waste Management System’ outlines an innovative architecture for the current challenges in urban waste management through the application of IoT, AI and Blockchain technologies to increase the efficiency, transparency, and sustainability. IoT enabled smart bins with sensors are used in the system for monitoring waste levels for tracking waste levels and generating real time data for waste management platforms. Using computer vision, AI powered algorithms are leveraged to predict waste generation patterns for waste generation planning, to optimize waste collection routes for collection optimisation and automation of waste segregation. Additionally, blockchain technology enables secure and transparent tracking of waste collection, segregation and disposal in urban waste management systems, with accountability. IoT communication protocols such as LoRaWAN and NB-IoT are implemented to guarantee low cost and high scalability, using minimal power, fitting very well in any large city. In this dissertation, we investigate how these technologies can be joined seamlessly to form a circular, data-driven urban waste management ecosystem that helps to achieve the principles of the circular economy by encouraging resource repurposing and energy recovery. |
| format | Article |
| id | doaj-art-ea5939cc76794916ac1476161569cc29 |
| institution | OA Journals |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-ea5939cc76794916ac1476161569cc292025-08-20T01:51:44ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016190300210.1051/e3sconf/202561903002e3sconf_icsget2025_03002AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and DisposalDevi Anusuya0Singh Navdeep1Thandra Nagarjuna2Gupta Navya3Salman Zahraa N.4Natarajan Karuppiah5Department of Applied Science, New Horizon College of EngineeringLovely Professional UniversityDepartment of Computer Science and Engineering, MLR Institute of TechnologyLloyd Law CollegeHilla University CollegeDepartment of Electrical and Electronics Engineering, Vardhaman College of EngineeringThis ‘Smart Urban Waste Management System’ outlines an innovative architecture for the current challenges in urban waste management through the application of IoT, AI and Blockchain technologies to increase the efficiency, transparency, and sustainability. IoT enabled smart bins with sensors are used in the system for monitoring waste levels for tracking waste levels and generating real time data for waste management platforms. Using computer vision, AI powered algorithms are leveraged to predict waste generation patterns for waste generation planning, to optimize waste collection routes for collection optimisation and automation of waste segregation. Additionally, blockchain technology enables secure and transparent tracking of waste collection, segregation and disposal in urban waste management systems, with accountability. IoT communication protocols such as LoRaWAN and NB-IoT are implemented to guarantee low cost and high scalability, using minimal power, fitting very well in any large city. In this dissertation, we investigate how these technologies can be joined seamlessly to form a circular, data-driven urban waste management ecosystem that helps to achieve the principles of the circular economy by encouraging resource repurposing and energy recovery.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03002.pdfsmart waste managementai in urban waste managementiot-enabled waste systemspredictive waste analyticsblockchain for waste trackingsmart city infrastructure |
| spellingShingle | Devi Anusuya Singh Navdeep Thandra Nagarjuna Gupta Navya Salman Zahraa N. Natarajan Karuppiah AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal E3S Web of Conferences smart waste management ai in urban waste management iot-enabled waste systems predictive waste analytics blockchain for waste tracking smart city infrastructure |
| title | AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal |
| title_full | AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal |
| title_fullStr | AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal |
| title_full_unstemmed | AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal |
| title_short | AI and IoT-Enabled Smart Urban Waste Management System for Efficient Collection, Segregation, and Disposal |
| title_sort | ai and iot enabled smart urban waste management system for efficient collection segregation and disposal |
| topic | smart waste management ai in urban waste management iot-enabled waste systems predictive waste analytics blockchain for waste tracking smart city infrastructure |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/19/e3sconf_icsget2025_03002.pdf |
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