Face authentication system Block Diagram:

Face authentication system Working Principle:

Eigenfaces refers to an appearance-based approach to face recognition that seeks to capture the variation in a collection of face images and use this information to encode and compare images of individual faces in a holistic (as opposed to a parts-based or feature-based) manner. Specifically, the eigenfaces are the principal components of a distribution of faces, or equivalently, the eigenvectors of the covariance matrix of the set of face images, where an image with \(N\) pixels is considered a point (or vector) in \(N\)-dimensional space. The Eigenface approach is considered by many to be the first working facial recognition technology, and it served as the basis for one of the top commercial face recognition technology products. Since its initial development and publication, there have been many extensions to the original method and many new developments in automatic face recognition systems. Eigenfaces is still often considered as a baseline comparison method to demonstrate the minimum expected performance of such a system.

The motivation of Eigenfaces is twofold:

Extract the relevant facial information, which may or may not be directly related to human intuition of face features such as the eyes, nose, and lips. One way to do so is to capture the statistical variation between face images.
Represent face images efficiently. To reduce the computation and space complexity, each face image can be represented using a small number of parameters.

The eigenfaces may be considered as a set of features which characterize the global variation among face images. Then each face image is approximated using a subset of the eigenfaces.

Face authentication system Software Requirements:

MATLAB 2008 and above
LANGUAGE-Embedded C.

Face authentication system Kits Contains:

PCB and programmed Microcontroller/Processor
2 Relay Board
USB to TTL converter
transformer (12 volts)
CD/DVD Project Report &CBT(Computer Based Training)*
Source code and datasheets

Reference :

Above design based on latest IEEE, Spring and other international journal and Publication .The reference paper will be given along with kits.

Face authentication system Kits Details:

PIC Controller

Sl.no.	Components	Legend	Quantity
1.	40 Pin PIC with IC base	IC2	1
2.	20MHz crystal oscillator	Q1	1
3.	Capacitor 33pF	C2,C3	2
4.	Reset switch	S5	1
5.	Resistor 1KΩ	R5	1
6.	Resistor 470Ω	R1	1
7.	LED	LED1	1
8.	Capacitor 0.1µF	C8	1
9.	DC socket	J1	1
10.	IC DB107	B2	1
11.	IC 7805	IC1	1
12.	Capacitor 1000µF	(filter capacitor near bridge)	1
13.	Burg stick	N/A	1
14.	PIC project board	N/A	1

2 Relay board components:

Sl.no	Components	Quantity
1.	12V DC Relays	2
2.	Transistor BC547/BC548	4
3.	LED	2
4.	Resistor 1KΩ	2
5.	Resistor 2.2KΩ	2
6.	4 Pin connector with cable	1
7.	Screw Connector	2
8.	2 relay PCB	1

Miscellaneous

Sl.no.	Components	Quantity
1.	USB to TTL converter	1 No.
2.	Geared DC motor	1 No.
3.	Transformer(230V to 12V)	1 No.
4.	AC cable	1 No.
5.	DC jack	1 No.
6.	3 Pin connector with cable	1 No.

Order Processing Time	3 Working Days
Buyer Protection:	Full Refund if you don't receive your order You can get a full refund if your item is significantly different from described*.

PLEASE NOTE:

The above images are sample prototype images for PIC controller. The controller/processor will change based on the selection made above (inControllers/Processor option), and controller/processor software will change accordingly.
High quality PCB FR4 Grade with FPT Certified.

*Conditions Apply