Publication: Formicaria Automation Method Using Machine Vision
Дата
2021
Авторы
Azamatov, R. D.
Iumagulov, M. I.
Molokanov, A. D.
Journal Title
Journal ISSN
Volume Title
Издатель
Аннотация
© 2021 IEEE.the article is focused on the creation of a system for automatic tracking of the conditions of formicaria using machine learning methods. The aim of the research is to develop a complex program in the Python programming language using open libraries TensorFlow and OpenCV for machine control of ants' vital activity. There was created a custom database based on video filming of Formicaria for artificial intelligence training. The humidity and temperature sensors were implemented to identify the dependence of the behavior of the home colony on the value of their parameters. During the study, a method for identifying ants was developed. The created system makes it possible to identify non-standard colony behavior and its causes.
Описание
Ключевые слова
Цитирование
Azamatov, R. D. Formicaria Automation Method Using Machine Vision / Azamatov, R.D., Iumagulov, M.I., Molokanov, A.D. // Proceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021. - 2021. - P. 417-420. - 10.1109/ElConRus51938.2021.9396268
URI
https://www.doi.org/10.1109/ElConRus51938.2021.9396268
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104765156&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800094
https://openrepository.mephi.ru/handle/123456789/24046
https://www.scopus.com/record/display.uri?eid=2-s2.0-85104765156&origin=resultslist
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800094
https://openrepository.mephi.ru/handle/123456789/24046