Group Members :Arslan Haider

Zohaib ArshadHassan Tariq

Aamir Mehboob

For Door Unlocking

Raspberry Pi Based Face Recognition System

Project Supervisor : Engr. Rizwan Qureshi

Why this project?

• Being a student of engineering, we have had experience in programming but never got a chance to develop on hardware such as the Raspberry Pi. The idea of working with real world hardware, and knowing that this technology is used worldwide in Blu-ray disks as well as by website like YouTube, Vimeo and iTunes Store, motivated me further to take up this project.

Objectives of this project :• Research into video processing

• Learn more about video streams

• Get familiar with Raspberry Pi

• Interfacing Raspberry Pi with Hardware.

Project Objectives

• A facial recognition system is a computer application capable of identifying or verifying a person from a digital image or video frame.

• It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition systems. Recently, it has also become popular as a commercial identification and marketing tool.

Advantage of using face recognition:

Least intrusive

More Secure.

What is Face Recognition System ?

• There are many identification systems but face recognition is now-a-days more preferred.

• No Physical Interaction.

• It’s not that expensive to install/implement.

• Like Security purposes (As of Door unlocking), Attendance system, face lock for mobile devices.

• Snapchat, Geo tagging(Facebook Auto Tags), law enforcement agencies etc.

Why Face Recognition is Needed ?

• An important difference with other biometric solutions is that faces can be capture from some distance away, with for example surveillance cameras. Therefore face recognition can be applied without the subject knowing that he is being observed (Security Purpose).

Important Plus Point

• Automatic Identification & Verification

• Database of faces

• Fisher Faces

• Comparison

• Face Match

• Applications

Introduction

For face detection, OpenCV cascade classifiers will be used.

These trained classifiers include detectors of face, eyes, nose and whole body, etc.

Face Detection

• The Viola–Jones object detection framework is the first object detection framework to provide competitive object detection rates in real-time.

Haar Cascade Classifier

• Eigen Faces

• Fisher Faces

• Local Binary Pattern

Three Popular Algorithms For Recognition

• Developed in 1997 by P.Belhumeur et al.

• Based on Fisher’s Linear Discriminant Analysis (LDA)

• Faster than eigenfaces, in some cases

• Has lower error rates

• Works well even if different illumination

• Works well even if different facial express.

Fisher Faces

• LDA maximizes the between-class scatter.

• LDA minimizes the within-class scatter.

• LDA seeks directions that are efficient for discrimination between the data.

Class A

Class B

• Raspberry Pi Board

• Power Supply

• Relay

• Power Adapter

• Camera Module

Components for Production of Project

• Interfacing of camera module to capture live face image.

• Create a database of authorized person.

• Capture current face, save it and compare with database.

• Interface relay as output module.

Proposed Work

Divided into 3 Parts:

• Camera Module

• Raspberry Pi Module

• Electronic bolt Lock

Working and Methodology

optional

Flow chart

1st Phase

• Take Frame

• Detect Face

• Extract the Face

• Resize

• Save Extracted Face

Saving the Face PortionTake

Frame

Detect Face

Extract the Face

Resize

Save Extracted

Frame

Real Time Training

Input Person Name

Take Frame for

14 Sec

Detect Face

Save Face

Loop terminated

• Finally the Faces of persons will be saved in prove folder with the

names of the persons.

• Those faces will then be used to recognize face.

Cont.

2nd Phase

• Get Faces from Training Folder

• Compute Model

• Get Real-time Frame

• Detect Face

• Match that face

• Predict Name

Real Time Face Recognition

Face Recognition Algorithm

Model Model.Train Model.Predict

Label index

&

Threshold

If Threshold <= 800

Names[index]

Circuit Diagram

• A Raspberry Pi is a general-purpose computer, usually with a Linux operating system, and the ability to run multiple programs.

• Very Low Cost($25-Rs 1550) for Model A & ($35-Rs 2200) for Model B/B+

• Lighter, Smaller, Efficient.

• Lower power consumption (less than 5W).

• Supports Full HD video (1080p),Multiple USB Ports etc.

• Smartcard swapping, alcohol detection and agriculture humidity sensing etc.

Why Raspberry Pi ?

Smart Surveillance Monitoring Security

Living body detection and Spying

Attendance System

Criminal Recognition and Identification system

Future Scope

The developed scheme is cheap ,fast, highly reliable and provides enough flexibility to suit the requirements of different systems.

Extra Features:

Counter: Counting the persons inside the specific room.

Attendance system: Attendance and Displaying there names.

Features

THANK YOU