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Formicaria Automation Method Using Machine Vision

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dc.contributor.authorAzamatov, R. D.
dc.contributor.authorIumagulov, M. I.
dc.contributor.authorMolokanov, A. D.
dc.date.accessioned2024-11-29T15:28:53Z
dc.date.available2024-11-29T15:28:53Z
dc.date.issued2021
dc.description.abstract© 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.
dc.format.extentС. 417-420
dc.identifier.citationAzamatov, 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
dc.identifier.doi10.1109/ElConRus51938.2021.9396268
dc.identifier.urihttps://www.doi.org/10.1109/ElConRus51938.2021.9396268
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85104765156&origin=resultslist
dc.identifier.urihttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000669709800094
dc.identifier.urihttps://openrepository.mephi.ru/handle/123456789/24046
dc.relation.ispartofProceedings of the 2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2021
dc.titleFormicaria Automation Method Using Machine Vision
dc.typeConference Paper
dspace.entity.typePublication
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relation.isOrgUnitOfPublication.latestForDiscovery010157d0-1f75-46b2-ab5b-712e3424b4f5
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