MAPPER People counting, tracking and identification system.

2016-2017
funded by: Regione Toscana

Public and private buildings require careful access control and in some cases, for security and safety reasons the amount of people located in a certain area must be checked. Current systems are based on RFID tags embedded in badges.

In this project MICC is involved for developing the facial recognition system. In this project we aim to develop a flexible and scalable system using computer vision techniques to recognize people using facial recognition algorithms. Together with our partners we will develop a prototype that will seamlessly integrate with existing access control portals counting, recognizing and locating people. We will design and develop a system involving possibly multiple cameras in order to recognize faces in the wild. Convolutional Neural Networks will be used together with metric learning to devise a robust face representation.

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