Archive Video Stream Using AI

The article is devoted to the use of artificial intelligence in the development of a video stream archiving system, which allows you to effectively organize the storage of data received from the ESP32Cam camera, as well as their recording in a database for subsequent viewing and processing. The work substantiates the relevance of creating such a system, with a detailed description of the video stream archiving process in the form of a functional model, which allows for a better understanding of all stages of this process. The development of client-server architecture, as well as individual system components, such as modules for data processing and storage, is considered. Particular attention is paid to the implementation of an Android application that provides convenient access to the video stream archiving system, making the use of technology more accessible and practical for the end user, as well as significantly simplifying interaction with the archive.