Our machine learning dev team developed a complex of video analytics in order to achieve accurate identification of people based on facial recognition and the following parameters: sex, age, and five types of emotions. Multiple individuals’ movement in and in-between rooms can now be tracked by human detection algorithms and tracking software. The analysis is carried out by means of deep neural networks. The collection and marking of training samples was also part of the tasks performed by our team.
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