Date of Publication :7th June 2016

Abstract: In current scenario, bank and locker robberies are frequently happening this means our locker is vulnerable to theft since it has no ultimate protection rather than a lock and key. Currently, most of the banks use two keys to open the lockers. One key is with the customer and another key is with the bank manager. This system is having some drawbacks. There is a possibility of losing the key which make the system to be insecure and duplication of keys may lead to unauthorized access of the locker. So in order to overcome that we are introducing Locker Security System based on Face Recognition and GSM (Global System for Mobile) technology, which can be used in Banks, Security Offices and Homes for giving protection to expensive possessions. In this system, only the authorized person can access the valuable things like money, licenses and jewels from locker. Face Recognition is done by using active appearance model algorithm with Bayesian classifier, which is used to identify the persons and verify their identity with the Raspberry Pi processor. RFID (Radio-frequency identification) and GSM technology are combined together for accessing the locker securely. When an authorized person tries to access the locker, the system will generate a one-time password and send to the registered mobile number of that person. If the password entered by him is correct, then only he will be allowed to access the locker. If he does any offensive acts on the locker, it will be sensed by the vibration sensor and the sensor will send the control signal to Raspberry pi processor and it will generate alarm sound.

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