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Aiming at the problems of complex systems with data source and cloud service center data transmission delay and untimely response, at the same time, in order to realize the perception, storage, and analysis of massive multisource heterogeneous data, a garbage detection and classification method based on visual scene understanding is proposed. This method uses knowledge graphs to store and model items in the scene in the form of images, videos, texts, and other multimodal forms. The ESA attention mechanism is added to the backbone network part of the YOLOv5 network, aiming to improve the feature extraction ability of the network, combining with the built multimodal knowledge graph to form the YOLOv5\u2010Attention\u2010KG model, and deploying it to the service robot to perform real\u2010time perception on the items in the scene. Finally, collaborative training is carried out on the cloud server side and deployed to the edge device side to reason and analyze the data in real time. The test results show that, compared with the original YOLOv5 model, the detection and classification accuracy of the proposed model is higher, and the real\u2010time performance can also meet the actual use requirements. The model proposed in this paper can realize the intelligent decision\u2010making of garbage classification for big data in the scene in a complex system and has certain conditions for promotion and landing.<\/jats:p>","DOI":"10.1155\/2021\/1055604","type":"journal-article","created":{"date-parts":[[2021,11,26]],"date-time":"2021-11-26T21:50:07Z","timestamp":1637963407000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["A Garbage Detection and Classification Method Based on Visual Scene Understanding in the Home Environment"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3618-6068","authenticated-orcid":false,"given":"Yuezhong","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuehao","family":"Shen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8701-8737","authenticated-orcid":false,"given":"Qiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Falong","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7662-101X","authenticated-orcid":false,"given":"Changyun","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,26]]},"reference":[{"key":"e_1_2_9_1_2","first-page":"635","article-title":"Summary for the key technologies and research status of the cleaning robot","volume":"33","author":"Zhou L. 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