Face Detection Software Using Artificial Intelligence

Running head: FACE DETECTION SOFTWARE USING ARTIFICIAL INTELLIGENCE
FACE DETECTION SOFTWARE USING ARTIFICIAL INTELLIGENCE
Name of the Student:
Name of the University:
Author Note:

1FACE DETECTION SOFTWARE USING ARTIFICIAL INTELLIGENCE
Introduction
The face detection software is a system which is driven by the artificial intelligence. The
main purpose of this face detection system is to identify the right persons and give them the
access. This system can be used in the smart security system (Zafeiriou,Zhang & Zhang,2015).
The main objective of this paper is to discuss about the implementation of the face detection
software. In order to do these different aspects of the usage of face detection software along with
the planning of the development phase has been given in this paper.
Problem domain:
The paper is mainly focused on the implementation and significance of the face detection
system. The face detection system is driven by artificial intelligence, where the system can
retrieve data after scanning the face.
Purpose and justification:
The purpose of this implementation is to develop a system that will scan and detect the
face and will retrieve the data regarding that face (Bhatia, Lilhore & Agrawal, 2017). This
system is drive by the artificial intelligence where the software or the machine will able to
identify different faces.
The implementation of this software is justified as it can be helpful in the development of
the advanced security system at organizations. Moreover using this kind of software the
implementation of the security system at smart home projects can be achieved.
Recommendations of the supervisor:

2FACE DETECTION SOFTWARE USING ARTIFICIAL INTELLIGENCE
The recommendation of the supervisor is focused on the right implementation of this face
detection software. It can be recommended that the security system of the software itself is
needed to be well maintained (Galbally, Marcel & Fierrez, 2014). The usage of the software is
needed to be simple so that the users can operate the functions of the system easily.
Conceptual framework:
The concept of face detection system develops a unique way of providing security and
authentication.
At the initial state, the faces of different persons along with the requires details are
scanned into the system. Before entering into the premise of the housing or the organization the
software will scan the face of the person (Lee et al.,2018). In case, if the face is matched with the
images from the database, the system will let that person to enter the premise, else it will
recognize that person as intruder. Different image filters along with the smart sensor techniques
are also used in the implementation of the system.
Methodology
Research and system development methods:
The development of this system contains different modules.
Face detection:
The primary function of this module is to detect the face filtering algorithm. This
algorithm extracts and identifies the pattern of the face and eyes.
Internal design of the software: