Smart Security: Machine Learning Based Security System for Smart Homes

Running head: SMART SECURITY
SMART SECURITY
Name of the Student:
Name of the University:
Author Note:

1SMART SECURITY
The advancement of the technology enables the use of machine learning in various
purpose. One of the interesting uses of the machine learning is to ensure the security and
implementation of smart home. It has been found out that the typical systems are sometimes
failed to detect the tricks of the buglers. The security system in the smart house will be based on
the machine learning, so that it will be intelligent enough to detect the advanced tricks of the
buglers.
Discussion
Problem: The problem of the current security system of the house security is that it
cannot always prevent the security threats.
Retrospective solution of the problem: In the past the, these kind of problems were solved
by the improvement of the sensor components and the advanced alarming system . However,
these steps were helpful at initial stage of implementation but it fails to protect the security in
long run as the intruders are also using the advanced technology for the trespassing.
Smart house security system: In order to solve this problem , machine learning , which is an
integrated part of artificial intelligence is used (Artem & Vasyl,2017). The whole system based
on the machine learning process makes the security system smart. The components of the
security system in the smart house are-
 Signal equipment
 Sensor
 Video Camera
 Controller
 Security system software

2SMART SECURITY
Structure of the proposed security system
(Source: Created by the author)
Each of the equipment has different functions in maintaining the security of the house. The
functions of the different components are triggered on the basis of the situation happening with
the security system in the house.
There are different levels of protections of the security. The first level of the protection is the
perimeter protection which is done by the monitoring camera.
In case, if the intruders can still manage to get into the house they will be caught by the
monitoring cameras and sensors installed into the house.
The third level of the security may include the hidden cameras and the sensors that responds
on the human temperature.
The forth level of the security helps to detect the intruders using the machine learning
mechanism. The further level of the security is activated in case the intruder can manage to
bypass all the three security levels of the system.
Controlle
r
Video
Camera
Software
Control
Device
Sensor