This Project is aimed towards those suffering from prosopagnosia, a common disability that prevents those it afflicts from recognizing faces. It is more serious than plain bad memory, and there are currently no widespread assistive technologies to alleviate its affects. To develop our product, we took the basic idea of Augmented Reality glasses, and specialized it solely towards the goal of facial recognition. Development also focused on ease of use and affordability. Our resulting product was successfully able to recognize a target’s face and conveyed the identity of the target to the user through an android application. 

the FACE uses deep learning for feature extraction from face and machine learning SVM model for face recognition and then gives out output as a name on the mobile app.

the whole project is coded on python and can be found on my github.

the basic architecture is as below : 

the algorithm method used is simply described as follows :

below you can see the demo for the FACE device :

the backdrop of the face detection is shown in the below video which was captured on the laptop.

This device could potentially change the lives of Prosopagnosia patients and is small and mobile device.The full detailed paper or report can be found Here.