Automatic face recognition in real time

Abstract

This report reviews the different type of face recognition and speech to text algorithms available. Apart from that, this report will also cover the method used to crawl for images and method used to increase the size of the database. By increasing the size of database, models can be better trained and improved. Following which, the report will cover the method of preparing training samples. Additionally, this report will cover the pros and cons of each face recognition and speech to text technology used in creating this project. Finally, it will cover the pipeline and results of this project as well as the future work that can be carried out to improve the project.