Real-time video stream analysis based on Azure serverless services

dc.contributor.authorAkhaladze, I.
dc.contributor.authorLisovychenko, O.
dc.date.accessioned2023-02-17T12:55:55Z
dc.date.available2023-02-17T12:55:55Z
dc.date.issued2022
dc.description.abstractenAn analysis of existing architectural solutions was carried out, taking into account the principle of cold/hot analysis of video streams based on various services. The obtained results made it possible to choose an architectural approach based on services[1], which allows for obtaining additional information about the state of the environment where the swarm executes the flight plan. The principle of modularity, optionality and the possibility of stopping the video flow analysis module without affecting the control module was implemented, which made it possible to increase the flexibility of the system's economic efficiency. The implemented mechanism of selective filtering of frames of video streams allows to reduce the load on the communication channel by 4 times, and the two-circuit approach to the analysis of the video stream allows for obtaining analysis data faster when using surface analysis and carrying out resource-intensive (in terms of time) analysis operations on the second circuit.uk
dc.format.pagerangeС. 3-7uk
dc.identifier.citationAkhaladze, I. Real-time video stream analysis based on Azure serverless services / I. Akhaladze, O. Lisovychenko // Адаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник. – 2022. – № 2 (41). – С. 3-7. – Бібліогр.: 7 назв.uk
dc.identifier.doihttps://doi.org/10.20535/1560-8956.41.2022.271319
dc.identifier.urihttps://ela.kpi.ua/handle/123456789/52737
dc.language.isoenuk
dc.publisherКПІ ім. Ігоря Сікорськогоuk
dc.publisher.placeКиївuk
dc.sourceАдаптивні системи автоматичного управління : міжвідомчий науково-технічний збірник, 2022, № 2 (41)uk
dc.subjectIoTuk
dc.subjectvideouk
dc.subjectframeuk
dc.subjectstreamuk
dc.subjectanalysisuk
dc.subjecthot/cold analysisuk
dc.subject.udc004.042uk
dc.titleReal-time video stream analysis based on Azure serverless servicesuk
dc.typeArticleuk

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