The article presents aspects of designing an artificial intelligence module for analyzing video streams from surveillance cameras in order to classify objects and interpret their actions as part of the task of collecting statistical information and recording information about abnormal activity of surveillance objects. A diagram of the sequence of the user's process with active monitoring using a Telegram bot and a conceptual diagram of the interaction of the information and analytical system of a pedigree dog kennel on the platform "1С:Enterprise" with external services.

Keywords: computer vision, machine learning, neural networks, artificial intelligence, action recognition, object classification, YOLO, LSTM model, behavioral patterns, keyword search, 1C:Enterprise, Telegram bot

The article considers a formalized data model of a software package for automating the accounting of the activities of an animal care center, which includes two subsystems: "Subsystem of information support for the activities of a shelter for homeless animals" and "Subsystem of automation of accounting for the activities of a hotel for animals". The formalized model allows you to structure the subject area, highlight the main components, their properties and relationships between them (customers, pets, aviaries, booking requests, volunteers, tasks, etc.), which was later used for algorithmization of the solution and software implementation of complex tools on the 1C:Enterprise platform.

Keywords: formalized model, animal shelter, homeless animals, hotel for animals, 1C:Enterprise, automation, activity accounting, animals, software package, information system