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

facial recognition system for NEC

A set of computer vision tools to accurately identify people in the video stream and analyze their movements and emotions.

Client

NEC is a Japanese multinational corporation that specializes in information technology and electronics.

Challenge

The client approached our neural network development team with the task of building tools to accurately identify people in the video stream.

Solution

Our neural network development team has developed several video analytic tools to accurately identify people based on facial recognition and the following parameters: sex, age, and five types of emotions. Human detection algorithms and tracking software can track multiple individuals’ movements in and between rooms. The analysis is carried out utilizing deep neural networks. The collection and marking of training samples were also part of the tasks performed by our development team.

Tags
  • AI
  • Backend
  • Image Recognition
  • ML
  • Python
  • TensorFlow

Development Team
4 Machine Learning Developers, 1 QA Engineer
1 Project Manager, 1 Account Manager

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