Smart City Gnosys

Smart city article details

Title Implementation Of An Intelligent Visual Recognition System For The Proper Classification Of Solid Waste Using A Mobile Application In A Smart City
ID_Doc 30534
Authors Moreno-Jacobo D.; Ochoa-Ruiz G.; Ochoa-Zezzatti A.; Aguilar-Lobo L.M.; Ramirez-Lopez A.; Angeles-Herrera D.
Year 2021
Published Lecture Notes in Intelligent Transportation and Infrastructure, Part F1390
DOI http://dx.doi.org/10.1007/978-3-030-68655-0_31
Abstract A preponderant aspect in the world's megacities that wish to become pioneers of a Smart City model is the adequate collection of solid waste and, to a large extent, adequate classification and separation, since there are specific recycling models derived from correct classification. In the present research, we propose the use of a mobile application that allows determining a correct classification between cardboard, glass, organic waste, metal (especially aluminum) and lime waste, this will allow the human team to make a correct decision on the type of waste to be classified, for its correct separation using an intelligent system of artificial vision for the competitive environment of a Smart City. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords Computer vision on mobile device; Deep learning; Logistics 4.0; Smart cities; Solid waste management


Similar Articles


Id Similarity Authors Title Published
56836 View0.905Cai W.; Xie M.; Liu Y.; Yang X.The Smart City Waste Classification Management System: Strategies And Applications Based On Computer VisionJournal of Organizational and End User Computing, 36, 1 (2024)
49190 View0.904Vijay Sathappan M.; Satyanarayan G.D.; Kishore V.; Rathish A.; Sandeep S.; Konguvel E.Smart Bin: A Waste Classification System For Eco- Friendly Urban Environments2024 3rd International Conference on Artificial Intelligence for Internet of Things, AIIoT 2024 (2024)
7697 View0.902Coccoli M.; De Francesco V.; Fusco A.; Maresca P.An Automated Visual Recognition System To Counteract Illegal Dumping In Smart CitiesDMSVIVA 2020 - Proceedings of the 26th International DMS Conference on Visualization and Visual Languages (2020)
11276 View0.898Mohammed M.A.; Abdulhasan M.J.; Kumar N.M.; Abdulkareem K.H.; Mostafa S.A.; Maashi M.S.; Khalid L.S.; Abdulaali H.S.; Chopra S.S.Automated Waste-Sorting And Recycling Classification Using Artificial Neural Network And Features Fusion: A Digital-Enabled Circular Economy Vision For Smart CitiesMultimedia Tools and Applications, 82, 25 (2023)
18802 View0.896Huaman-Yrigoin D.; Canales-Escalante C.; Rubinos-Jimenez S.; Contreras-Rivera R.; Tejada-Cabanillas A.; Mendoza-Nolorbe J.; Diaz-Tavera Z.Design Of An Iot Intelligent Container For The Detection And Classification Of Recyclable Waste Using OpencvACM International Conference Proceeding Series (2023)
61435 View0.888Ruiz V.; Sánchez Á.; Vélez J.F.; Raducanu B.Waste Classification With Small Datasets And Limited ResourcesIntelligent Systems Reference Library, 224 (2022)
33618 View0.887Gopatoti A.; Chaubey P.K.; Charan P.; Mathivanan K.; Prabakaran T.; Kumar A.S.Iot And Wsn-Driven Solid Waste Image Classification In Smart Cities Using The Attention Bigru ModelProceedings - 4th International Conference on Smart Technologies, Communication and Robotics 2025, STCR 2025 (2025)
17839 View0.884George A.; Mankar S.H.; Suryanarayana N.V.S.; Gupta M.; Sathish R.; Priya A.Deep Learning Based Identification Of Solid Waste Management In Smart Cities Through Garbage Separation And MonitoringProceedings of the 5th International Conference on Inventive Research in Computing Applications, ICIRCA 2023 (2023)
2069 View0.883Kannan E.; Yuvarani B.; Sanjaykumar S.; Tamilvanan T.; Vasanth J.; Manikandan S.A High Efficient And Cost Effective Waste Sorting Solution Using Advanced Sensors And AiProceedings of 5th International Conference on Trends in Material Science and Inventive Materials, ICTMIM 2025 (2025)
8411 View0.883Belsare K.; Singh M.; Gandam A.; Malik P.K.; Agarwal R.; Gehlot A.An Integrated Approach Of Iot And Wsn Using Wavelet Transform And Machine Learning For The Solid Waste Image Classification In Smart CitiesTransactions on Emerging Telecommunications Technologies, 35, 4 (2024)