INTELLECTUAL LOCKER PROTECTION SYSTEM BASED ON OPENCV AND USER AUTHENTICATION USING ANDROID

Abstract

In our day to day life, Security and Authentication of individuals is necessary, especially in Bank lockers.
But the security provided by bank systems has some backfalls. It has been enhanced by using techniques like
pattern recognition comparing their existing traits and there is still a need for considerable computer vision. In
this system a new approach is proposed for banking system. At first pattern flow are collected as data sets
and maintained in bank agent server. The machine is attached with a camera to capture the pattern flow of user
and sent for processing features of the user is recognized by comparison. Along with the authentication
of user there is another system to identify the user before that RFID tag checking . Password entry through
mobile phone is needed for next level of security. This can be done by using Bluetooth and also authentication
is checked by verification through IMEI number. Finally when all levels of security is finished , the locker
is opened for the user and the information is passed to the bank manager. Temperature and vibration
sensors are used to find thief entry inside the bank. This project shows that all the bank accounts can
be accessed using cards through this pattern recognition effectively and safely