Implementation of Door Security System Using Machine Learning

ABSTRACT: Safety comes first in an Ambient Intelligent environment. The primary goal of this paper work is to provide a high-level security solution for various organizations. Recently, the rate of crimes involving robbery in hostels and houses is increasing. There is need to enhance home security systems to make them more sophisticated, effective in order to keep up with the increasing crime rate. This paper presents a Voice Recognition-Based Door Security System that utilizes a trained voice recognition module through supervised machine learning to authenticate authorized users and prevent unauthorized access. The system works by recording and storing the voice of a particular authorized user and compares incoming voice with the stored voice for authentication. Upon successful voice match, the system triggers a relay or servo motor to unlock the door. However, if the incoming voice does not match the stored authorized voice, the system immediately alert the person via voice call through GSM module to alert the owner about the unauthorized access attempt. As the SMS alert has sent the camera which is installed is activated and we can generate a OTP through GSM module. If we want to allow the unauthorized person to go inside then we can directly establish a communication between GSM module and the controller. This provides real-time security monitoring, allowing the owner to take immediate action.