1. Introduction

1.1 Purpose

The purpose of this document is to give a detailed walkthrough of the project to the clients, as well as being a source of reference for the developers.

1.2 Scope

The scope of this document will cover the Reporting System, Accounts, System Design, Facial Recognition overview and some specifications. This product is designed to be used 'in-house' for a business, but will make use of external servers. While this is designed for business use, it can also be used for private use, but it is not recommended. This system only interacts with itself and a single camera. A small portion of this software will be installed on a local machine, used to reduce the amount of information transfer over the web, while the rest of the product is available through a web browser.

1.3 Definitions

Facial Detection: The process of finding a face within a picture using machine learning

Facial Recognition: Comparing a face found in a picture to a another image with a face and see if they match

1.4 Software Tools Required

Programming Languages

• Front End: JavaScript, HTML, CSS

• Back End: Java

• Facial recognition: Python

Frameworks & Libraries

• Front End: Node.js, React, and Spring, BootStrap, Express, Websocket, Nodemon

• Back End: Spring Web, Spring Data, Spring Security, JUnit 5, AssertJ, Hybernate framework with MySQL database

• Facial recognition: Pillow, python-decouple, mysql-connector-python, Flask, SocketXP

Camera

A high definition webcam is utilized for the facial detection, facial recognition and image capture portions of this project. Image hosting is done on a local machine and not a remote server.