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DC poleHodnotaJazyk
dc.contributor.authorBobulski, Janusz
dc.contributor.authorKubanek, Mariusz
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-18T17:43:44Z
dc.date.available2023-10-18T17:43:44Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 389-392.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54448
dc.description.sponsorshipThe project financed under the program of the Polish Minister of Science and Higher Education under the name Regional Initiative of Excellence in the years 2019-2023 project number 020/RID/2018/19 the amount of financing PLN 12 000 000.en
dc.format4 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectrecyklacecs
dc.subjectochrana životního prostředícs
dc.subjectumělá inteligencecs
dc.subjectpočítačové viděnícs
dc.subjectinteligentní popelnicecs
dc.titleThe use of Artificial Intelligence for Automatic Waste Segregation in the Garbage Recycling Processen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe problem of recycling secondary raw materials remains unresolved, despite many years of work on this issue. Among the many obstacles that arise is also the difficulty of sorting individual waste fractions. To facilitate this task and help solve this problem, modern computer vision and artificial intelligence techniques can be used. In our work, we propose constructing an intelligent garbage bin containing a camera and a microcomputer along with software that uses these techniques to sort waste. The role of the software is to recognize the type of waste and assign it to one of five main categories: paper, plastic, metal, glass and cardboard. The proposed method uses image recognition techniques with a convolutional neural network. The results confirm that using artificial intelligence methods significantly helps in sorting waste.en
dc.subject.translatedrecyclingen
dc.subject.translatedenvironmental protectionen
dc.subject.translatedartificial intelligenceen
dc.subject.translatedcomputer visionen
dc.subject.translatedintelligent garbage binen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.40
dc.type.statusPeer-revieweden
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