Analysis of the possibilities of using a deep neural networks as an image recognition technology to solve the problem of automating attendance tracking

The task of counting the number of people is relevant when conducting various types of events, which may include seminars, lectures, conferences, meetings, etc. Instead of monotonous manual counting of participants, it is much more effective to use facial recognition technology, which makes it possible not only to quickly count those present, but also to recognize each of them, which makes it possible to conduct further analysis of this data, identify patterns in them and predict. The research conducted in this paper determines the quality assessment of the use of facial recognition technology in images and video streams, based on the use of a deep neural network, to solve the problem of automating attendance tracking.