Neural Pass
Secure password management system based on Face and Eye pattern recognition system using Neural Networks
Created on 29th August 2020
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Neural Pass
Secure password management system based on Face and Eye pattern recognition system using Neural Networks
The problem Neural Pass solves
The problem Neural Pass solves
The normal password manager available in the market uses a master password. So if the master password gets cracked then everything is exposed.
So to prevent we have added 2 layers of security.
- At 1st the user must bypass the face-scanning layer to enter our application.
Secondly, the User will set the 5 digit master pin while storing the password with their eye pattern.
Also, the eye pattern entered by the user like (left, right, blink, left, blink, etc) is difficult to forget than the difficult password combination used for other password manager applications.
Provides an extra layer of authentication for transactions in Banking and Financial Domain
Challenges we ran into
Challenges we ran into
Our main challenge was to optimize the facial and eye pattern detection as we only have limited resources like webcams which are not robust for the real-time video analysis because of their poor throughput. And another challenge was to find a proper dataset for the training of the models.
Technologies used