Karaganda Industrial University hosted 2 guest lectures for students of the Department of Artificial Intelligence Technologies of the 2nd, 3rd and 4th courses, as well as students of the Technical and economic college. The first lecture was held for students with Kazakh language of instruction, and the second one was for students who study in Russian.

The first lecture for students studying under the educational programs «Software Engineering» and «Artificial Intelligence Technologies» was delivered by the web developer of JSC «Scientific Center for Anti-Infectious Drugs» Agenov Almat Tazhikhanovich. During the meeting, the speaker told the students about the design and development of StartUp projects, database design, WEB applications and integration with Front/mobile apps.

The second lecture, held for Russian-speaking groups of the Department of Artificial Intelligence Technologies, students of the educational programs «Software Engineering», «Automation Systems Engineering» and students of the graduate groups of the Technical and Economic College, studying in the specialty «Computer Engineering and Software», was devoted to the topic of video analytics. The speaker was the Acting Technical Director of LLP «Scientific and Production Association «Perspektiva» Kim Maxim Konstantinovich. He shared with the students the experience of the Scientific and Production Association Perspektiva LLP in the development of software and production of hardware solutions for the Safe City systems.

Video analytics is a technology that uses computer vision methods to automatically obtain various data based on the analysis of a sequence of images coming from video cameras in real time or from archival recordings.

Video analytics is a software (software) for working with video content. The software is based on a set of machine vision algorithms that allow video monitoring and data analysis without direct human involvement. Video analytics functions are successfully used to solve the problems of recognizing numbers (on transport, on banknotes, documents, etc.), detecting events (movements, movements, crossing permissible lines and borders, being in zones, throwing objects over fences, etc. detection of dangerous situations (crowds of people, abandoned objects, fires and smoke, etc.), recognition of human faces and their search in databases.