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It consists of two sub systems: an indoor garbage classification applet (abbreviated as IGCA) and an outdoor garbage classification system (abbreviated as OGCS). IGCA provides users with three methods of garbage classification, and OGCS provides users with outdoor real-time multi-target garbage classification and can dynamically update the recognition model. RMGCS achieves real-time, accurate, and multimodal classification. Finally, the experiments with RMGCS show that our approaches are effective and efficient.<\/jats:p>","DOI":"10.3233\/jifs-212225","type":"journal-article","created":{"date-parts":[[2021,10,29]],"date-time":"2021-10-29T11:42:38Z","timestamp":1635507758000},"page":"3963-3973","source":"Crossref","is-referenced-by-count":6,"title":["RMGCS: Real-time multimodal garbage classification system for recyclability"],"prefix":"10.1177","volume":"42","author":[{"given":"Nan","family":"Su","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan, China"}]},{"given":"Zhishuo","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan, China"}]},{"given":"Wenlong","family":"You","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan, China"}]},{"given":"Nan","family":"Zheng","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, University of Jinan, Jinan, China"}]},{"given":"Kun","family":"Ma","sequence":"additional","affiliation":[{"name":"Shandong Provincial Key Laboratory of Network Based Intelligent Computing, University of Jinan, Jinan, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-212225_ref4","doi-asserted-by":"crossref","unstructured":"Fan Z. , Meng J. , Classification and treatment of urban domestic garbage in china, In IOP Conference Series: Earth and Environmental Science, volume 514, page 032001, IOP Publishing, 2020.","DOI":"10.1088\/1755-1315\/514\/3\/032001"},{"issue":"10","key":"10.3233\/JIFS-212225_ref5","doi-asserted-by":"crossref","first-page":"1776","DOI":"10.3390\/su9101776","article-title":"Bonus point system for refuseclassification and sustainable development: A study in china","volume":"9","author":"Guo","year":"2017","journal-title":"Sustainability"},{"key":"10.3233\/JIFS-212225_ref7","doi-asserted-by":"crossref","unstructured":"Huang J. , Pretz T. , Bian Z. , Intelligent solid waste processing using optical sensor based sorting technology, In 2010 3rd International Congress on Image and Signal Processing, volume 4, pages 1657\u20131661, IEEE, 2010.","DOI":"10.1109\/CISP.2010.5647729"},{"issue":"2","key":"10.3233\/JIFS-212225_ref8","doi-asserted-by":"crossref","first-page":"242","DOI":"10.1162\/artl_a_00317","article-title":"Decentralized controlfor swarm robots that can effectively execute spatially distributedtasks","volume":"26","author":"Kano","year":"2020","journal-title":"Artificial Life"},{"issue":"6","key":"10.3233\/JIFS-212225_ref9","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1145\/3065386","article-title":"Imagenet classificationwith deep convolutional neural networks","volume":"60","author":"Krizhevsky","year":"2017","journal-title":"Communications of the ACM"},{"key":"10.3233\/JIFS-212225_ref11","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.wasman.2019.04.020","article-title":"Garbage sourceclassification performance, impact factor, and management strategyin rural areas of china: A case study in hangzhou","volume":"89","author":"Li","year":"2019","journal-title":"Waste Management"},{"issue":"2","key":"10.3233\/JIFS-212225_ref12","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1007\/s11263-019-01247-4","article-title":"Deep learning for generic object detection: A survey","volume":"128","author":"Liu","year":"2020","journal-title":"International Journal of Computer Vision"},{"key":"10.3233\/JIFS-212225_ref14","first-page":"2013","article-title":"Rectifier nonlinearitiesimprove neural network acoustic models","volume":"30","author":"Maas","journal-title":"In Proc. 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