WhatsApp or SMS: 07087083227
Click here to Get The Complete Research Project Chapter 1-5

Full Project – Design of a web-based facial and emotional identification software

Click here to Get this Complete Project Chapter 1-5

ABSTRACT

This study has its foundation in the field of Artificial Intelligence(AI) and machine learning to be precise. We reference Artificial Intelligence in the sense that the system would train data sets to predict identity and emotion of subjects that would be tested using photographs and at times video to get the desired results with near perfect accuracy.

Facial recognition is also known to employ pattern recognition in an obvious manner whereby the parameters to be predicted and recognized would follow distinct patterns to function properly.

The application of artificial intelligence in form of facial recognition is a relatively newer technology application compared to other areas of computing.

Facial recognition software is simply defined as a technology with the capability of matching human faces against an existing database of faces. It has been applied over the years for user authentication through ID verification services which works by pinpointing and measuring facial features from a given image. It is also being used in smart phones and robots. It is widely recognized and adopted as a popular pattern recognizer for authentication in spite of its lower accuracy compared to it counterparts in the forms of iris recognition and fingerprint recognition.

CHAPTER ONE

1.1 BACKGROUND OF THE STUDY

This study is largely based on the field of Artificial Intelligence(AI) and pattern recognition. Artificial Intelligence in the sense that the system would train data sets to predict identity and emotion of subjects that would be tested using photographs and at times video to get the desired results with near perfect accuracy.

Facial recognition also employs pattern recognition in an obvious manner whereby the parameters to be predicted and recognized would follow distinct patterns to function properly.

The application of artificial intelligence in form of facial recognition is a relatively newer technology application compared to other areas of computing.

1.2 STATEMENT OF THE PROBLEM

The problem is stated as follows;

The facial recognition tools are mostly implemented using traditional desktop and online programming languages and in this case, we seek to create one using web based technologies. Use of web applications is often easier than a machine specific algorithm or software. They are often cross-platform in nature.

The project seeks to create a facial pattern recognizer and evaluated basically by testing on large datasets.

1.3 MOTIVATION OF THE STUDY

This study was motivated by the fact that we can exploit various computational theories for real life applications.

1.4 AIMS AND OBJECTIVES OF THE STUDY

The aims and objectives of this study include;

Taking a deep dive into the field of facial recognition.
Exploring the web technologies and specific algorithms that can be implemented in real world situations alongside machine learning and facial recognition trends.
Studying and analyzing the related publications and research work in both web technology and facial recognition fields.
Creating a simple facial emotion, age and gender recognizer which can be tested by an evaluation software over a server.
Evaluate the facial recognition software and recommend improvements in later works.

1.5 OUTLINE OF METHODOLOGY

The implementation of this idea and project was done with the php and python programming languages and the front end technologies of html, css and javascript. This was chosen because of its cross-platform nature and its general use for pattern recognition and machine learning of a wide range of datasets.

1.6 SCOPE OF THE STUDY

This study covers standard facial recognition and machine learning algorithms that can also be used to support training algorithms for efficient evaluation and deployment.

1.7 SIGNIFICANCE OF THE STUDY

The study is very significant in studying, analyzing and postulating more efficient and trustworthy ways of pattern. It also explores the aspects where the algorithms such as the clustering and classification algorithms can be applied and improved.

1.8 OPERATIONAL DEFINITION OF TERMS

FACIAL RECOGNITION:Facial recognition software is simply defined as a technology equipped with the capability of matching human faces against an existing database of faces. It is one of the popular applications of Artificial Intelligence and machine learning
MACHINE LEARNING: Machine learning is a branch of artificial intelligence based on the idea that systems can learn on their own to perform certain tasks without being hard programmed that way. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves. It is also described as a method of data analysis that automates analytical model building.
EVALUATION SERVER: This is a platform by which a machine learning program or algorithm can be tested particularly to see the algorithm’s proximity to human interaction.
TRAINING ALGORITHM: This is an algorithm that functions in such a way that it draws sensitivity from a provided set of data and draws conclusions and/or generally responds and acts on them.
DATASET: A data set is a collection of data that is worked on by a machine learning software to train an automated system.

1.9 ORGANISATION OF THE PROJECT

The study is organized into five different sections/chapters as follows; Chapter One examines the problem statement, the background, the scope and the aims and objectives of the development. The operational terms of this project are also defined in this chapter. Chapter Two gives the review of the previous literature published by scholars and researchers. It explores in-depth research work that have been done in this area of computing. Chapter Three outlines the methodology used in the web based development of this project. It also gives the software development model used to implement the project. Chapter Four will explain the implementation, evaluation and presentation of results. Chapter Five gives good summary findings, recommendation for future works and conclusions.

Get the Complete Project

This is a premium project material and the complete research project plus questionnaires and references can be gotten at an affordable rate of N3,000 for Nigerian clients and $8 for international clients.

Click here to Get this Complete Project Chapter 1-5

You can also check other Research Project here: