Automated emergency call system based on sound incident recognition

Скорочена інформація про документ
dc.contributor.authorKakatsiy, R.
dc.contributor.authorStadnichuk, V.
dc.contributor.authorTytarenko, K.
dc.date.accessioned2020-08-25T10:45:32Z
dc.date.available2020-08-25T10:45:32Z
dc.date.issued2020
dc.descriptionKakatsiy R. Automated emergency call system based on sound incident recognition / R. Kakatsiy, V. Stadnichuk, K. Tytarenko ; supervisor S. Krivenko // Black Sea Science 2020 : рroc. of the Intern. Competition of Student Scientific Works. Information Technology, Automation and Robotics / Odessa Nat. Acad. of Food Technologies ; eds. B. Yegorov, M. Mardar, S. Kotlyk [et al.]. – Odessa : ONAFT, 2020. – P. 9–22 : tabl., fig. – Ref.: 10 tit.ru_RU
dc.description.abstractAn automated emergency call system based on the recognition of sound incidents has significant advantages over a video surveillance system. The review focuses on systems that use microphones to quickly respond to an emergency. The material of this research work is based on an analysis of publications on the topics of sound recognition, the use of WSN. Also, the program has been developed, which allows convenient and practical positioning microphones on the cards. The practical significance of the work is obvious. The results of the study can be used to create an automated emergency call system based on the recognition of sound incidents. The objectives of the research work are: obtaining new results that are important for the implementation of the emergency call system based on the recognition of sound incidents; mastering the principles of sound recognition using neural networks.ru_RU
dc.identifier.urihttps://card-file.ontu.edu.ua/handle/123456789/14466
dc.language.isoenru_RU
dc.subjectemergency callru_RU
dc.subjectacoustic surveillanceru_RU
dc.subjectWireless sensor networkru_RU
dc.subjectsamplingru_RU
dc.subjectneural networksru_RU
dc.titleAutomated emergency call system based on sound incident recognitionru_RU
dc.typeArticleru_RU
Файли
Контейнер файлів
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
Black_Sea_Sci_2020_Kakatsiy.pdf
Розмір:
2.43 MB
Формат:
Adobe Portable Document Format
Опис:
Завантажити
Ліцензійна угода
Зараз показуємо 1 - 1 з 1
Ескіз
Назва:
license.txt
Розмір:
1.71 KB
Формат:
Item-specific license agreed upon to submission
Опис:
Завантажити
Зібрання
Black Sea Science