Formicaria Automation Method Using Machine Vision

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.