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Face Recognition And Detection

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Computer Science
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Face Recognition and Detection Project
Student’s Name
Institutional Affiliation
Date

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Face Recognition and Detection Project
Objectives
The primary objective of this project is identifying the effectiveness and accuracy of a
face recognition system using neural networks and ways in which it can improve the
experience of the people who use Artificial Neural Network in Face Detection and
Recognition while simultaneously improving its security. The second goal of this research
project is to identify the importance of artificial neural network in facial recognition along
with the challenges and issues linked with face detection software which requires improving
in the future.
Methodology
The method used in this paper to identify the main objective is the secondary research
method. Qualitative research method will be sued for the second objective. This method
entails going through many journal articles by professionals on the subject of using neural
networks in face recognition. In this method, data is not only collected from peer reviewed
journals but also from blogs and articles, magazines and newspapers, internet statistics, and
government websites available on the internet regarding the usefulness of face recognition
and how artificial neural networks can be of help to this cause.
In the qualitative research method, information was obtained from surveys and
questionnaires by using questions such as: do you think the face recognition feature is truly
accurate? Are there chances of the neural network in the face recognition system confusing
pictures due to similarity? Can the feature be useful in security investigations where the
surveillance cameras used were of low quality? A conducive environment was provided to
the interviewees which includes not pressuring them and maintaining their confidentiality,
selecting a suitable time and date according to their preference, and giving them

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Face Recognition and Detection Project Student’s Name Institutional Affiliation Date Face Recognition and Detection Project Objectives The primary objective of this project is identifying the effectiveness and accuracy of a face recognition system using neural networks and ways in which it can improve the experience of the people who use Artificial Neural Network in Face Detection and Recognition while simultaneously improving its security. The second goal of this research project is to identify the importance of artificial neural network in facial recognition along with the challenges and issues linked with face detection software which requires improving in the future. Methodology The method used in this paper to identify the main objective is the secondary research method. Qualitative research method will be sued for the second objective. This method entails going through many journal articles by professionals on the subject of using neural networks in face recognition. In this method, data is not only collected from peer reviewed journals but also from blogs and articles, magazines and newspapers, internet statistics, and government websites available on the internet regarding the usefulness of face recognition and how artificial neural networks can be of help to this cause. In the qualitative research method, information was obtained from surveys and questionnaires by using questions such as: do you think the face recognition feature is truly accurate? Are there chan ...
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