Case Study: NEC achieves advanced video face, gender, age, and emotion recognition with DevTeam.Space

A DevTeam.Space Case Study

NEC builds facial recognition video analytics with DevTeam.Space for 5 emotion types

The customer NEC, a Japanese multinational corporation specializing in IT and electronics, approached the vendor DevTeam.Space with a challenge. They needed to build a set of computer vision tools to accurately identify people within a video stream.

DevTeam.Space developed a solution involving several video analytic tools utilizing deep neural networks. Their system identifies individuals through facial recognition and can analyze parameters including gender, age, and five types of emotions. The algorithms can also track multiple people's movements. The work performed by DevTeam.Space included the collection and marking of training samples to create this complex video analytics system for NEC.


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