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Application of Computer Vision for Safer and More Efficient Urban Environments

dc.contributor.authorBilak, Yuliana
dc.contributor.authorTonenchuk, Tetiana
dc.date.accessioned2024-12-10T11:49:31Z
dc.date.available2024-12-10T11:49:31Z
dc.date.issued2024
dc.identifier.citationBilak Yu., Tonenchuk T. Application of Computer Vision for Safer and More Efficient Urban Environments. Science and Technology of the XXI Century: Proceedings of the International R&D Online Student Conference and Competition, 04 December, 2024. Kyiv, 2024. Part ІІ. P. 89-91.uk_UA
dc.identifier.issn2411-3050
dc.identifier.urihttps://archer.chnu.edu.ua/xmlui/handle/123456789/11063
dc.description.abstractThe rapid growth of urban populations and the increasing complexity of city infrastructure demand innovative solutions to enhance urban living and ensure public safety. Computer vision technologies based on convolutional neural networks (CNNs) are becoming one of the key technologies for building smart cities, providing real-time automatic analysis of urban environments.The purpose of this work is to analyze the application of computer vision technologies based on convolutional neural networks (CNNs) to enhance public safety and optimize urban infrastructure in the context of smart cities.uk_UA
dc.language.isoenuk_UA
dc.publisherNational Technical University of Ukraine ‘Igor Sikorsky Kyiv Polytechnic Institute’uk_UA
dc.subjectcomputer visionuk_UA
dc.subjectconvolutional neural networksuk_UA
dc.subjecturban infrastructureuk_UA
dc.subjectobject recognitionuk_UA
dc.subjectpublic safetyuk_UA
dc.subjecttraffic managementuk_UA
dc.titleApplication of Computer Vision for Safer and More Efficient Urban Environmentsuk_UA
dc.typeArticleuk_UA


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