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Face Recognition System

This document outlines a face detection system using OpenCV and Python. It introduces face detection and its applications. The goal is to build a system that can detect and recognize faces using a computer's camera. OpenCV will be used to perform face localization and identification, leveraging deep learning. The conclusion states that OpenCV is an effective and practical tool for face recognition, especially as major companies adopt such systems. With Python and OpenCV, an easy-to-use and affordable face recognition system can be created.

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Arjun Sharma
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55 views7 pages

Face Recognition System

This document outlines a face detection system using OpenCV and Python. It introduces face detection and its applications. The goal is to build a system that can detect and recognize faces using a computer's camera. OpenCV will be used to perform face localization and identification, leveraging deep learning. The conclusion states that OpenCV is an effective and practical tool for face recognition, especially as major companies adopt such systems. With Python and OpenCV, an easy-to-use and affordable face recognition system can be created.

Uploaded by

Arjun Sharma
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PPTX, PDF, TXT or read online on Scribd
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FACE DETECTION SYSTEM

<INSERT STUDENT NAME 1>


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OUTLINE
• INTRODUCTION
• PROBLEM STATEMENT
• CONCLUSION
• REFERENCES
INTRODUCTION
• Modern advances in artificial intelligence are successfully producing; they present us with
enormous potential results.
• . Face detection is the process of recognising faces in photos or videos.
• It could be applied to remote distinguishing proof administrations for security in industries
like banking, transportation, law enforcement, and electrical enterprises.
• This article's goal is to offer a straightforward and easy machine technology method
• . Such a system makes it simple to identify faces using datasets that closely match a
person's appearance.
INTRODUCTION

• The method for detecting a person's face in deep learning is with the use of
Python and OpenCV. "Open source computer vision" is referred to by the
acronym "OpenCV."
• The architecture consists of pre-programmed plugins, databases, and
software that support integrating computer vision applications.
PROBLEM STATEMENT
• The primary goal or objective of this work is to build or develop a system
that will use the computer's camera to detect and recognise a person's face or
an individual's face using the OpenCV tool known as the Open Face and the
Python programming language in the deep learning domain.
CONCLUSION
• As far as we are aware, the OpenCV library is getting increasingly profitable and performs better
for face location and identification
• Face recognition work is currently made easier by the fact that many leading technical companies
and industries are linked to face recognition systems.
• It is a simpler and more practical tool or system that anyone may create in accordance with their
needs thanks to the usage of Python programming and OpenCV.
• . Many people will benefit from the suggested system presented in this project because it is user-
friendly and economical.
• Consequently, the face recognition system can be created for a variety of uses by using Python
and OpenCV.
REFERENCES
1. Shervin Emami, Valentin Petrut Suciu, "Facial Recognition Using OpenCV", March 2012
2. Ramadan TH. Hasan, Amira Bibo Sallow, "Face Detection and Recognition Using OpenCV",
October 2021
3. Tejashree Dhawle, Urvashi Ukey, Rakshandha Chuodante, "Face detection and Recognition using
OpenCV and Python", October 2020
4. Jeevan Singh, Vishal Kumar, "Face Detection and Tracking Using OpenCV: A Survey", June 2020
5. Maliha Khan, Sudeshna Chakraborty, Rani Astya, Shaveta Khepra, "Face Detection and Recgnition
Using OpenCV", January 2020
6. Jayanth Vadlapati; S Senthil Velan; Ewin Varghese, "Facial Recognition using the OpenCV
Libraries of Python for the Pictures of Human Faces Wearing Face Masks during the COVID-19
Pandemic", November 2021

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