Face, Sex, Age, Video Emotion Recognition System For NEC

Our machine learning development team has developed various video analytics tools to accurately identify 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.