ABSTRACT: Pi, PIR Sensor, camera module, python.

ABSTRACT:

            This
paper proposes real time Face detection for an ATM security using Raspberry Pi
and Image Processing. Today image processing is used in various techniques.
Raspberry Pi is a basic embedded system, which itself is a minicomputer of
credit card size and is of a very low price. The system is programmed in python
language. The Raspberry Pi camera module is used to capture images once the
motion is detected by the PIR Sensor. The captured image is checked with the
database images. If the image is matched with any of the database images it
gives access to the user else the captured image is sent to the mail-id and SMS
alert is sent to the authorised mobile number.

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Keyword:
Open CV, Raspberry Pi, PIR Sensor, camera module, python.

Introduction:

            The
image processing is a form of signal processing where the input is an image,
like

 a photograph
or video frame, the output of an image processing may be either an image or

a video frame or a set of characteristics or
parameters related to the image. The Raspberry

Pi is based on the Broadcom BCM2835 system on a chip
(SOC) which includes an

ARM1176JZF-S Core (ARM V6K)700 MHz CPU processor,
Broadcom Video Core IV GPU

having 17 pins, 3.5W of power, and 512 MB of RAM
memory. The Raspberry Pi system has

Secure SD card reader (models A and B) or Micro SD
card reader (models A+ and B+) sockets

 for boot
media and persistent storage.  The system
provides Debian Linux operating system

Raspbian image for download. Python is used as main
programming language for raspberry

pi.

Concept of Image Processing:

            In
general, any digital image processing algorithm consists of three stages:
input, processor and output. In the input stage image is captured by a camera.
It sent to a particular system to focus on a pixel of image that’s gives, its
output as a processed image.

Image captured

by
a camera

Digital Image
Processing System

Processed
Image

           

1.General block diagram
of image processing.

Proposed System:

            The
proposed system consists of both hardware and software. A general block diagram
of the proposed system.

WEB
CAM   

Raspberry
Pi

Display
unit

 

 

Keyboard          & mouse

                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   

    Block
diagram of the proposed system.

Raspberry Pi board:

Methodology / Flow chart:

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

conclusion

However,they are many techniques for safety check,we
think these face recognition also one of the important tool.the image
processing is mainly done by the raspberry pie which is the powerful tool for
all these and it was successfully implemented.

 

 

 

Refernce:

 1.?Castleman,
K.R., Digital Image Processing. Second ed. 1996, Englewood Cliffs, New Jersey:
Prentice-Hall.

 2.?Serra, J.,
Image Analysis and Mathematical Morphology. 1982, London: Academic Press.

3?.Stockham, T.G., Image Processing in the Context
of a Visual Model. Proc. IEEE, 1972. 60: p. 828 – 842.

4. G. Senthil kumar 1, K. Gopalakrishnan 2, V.
Sathish Kumar 3

Embedded Image Capturing System Using Raspberry Pi
System,

Volume 3, Issue 2 March–April 2014 Page 213.

5.Raspberry pi – www.raspberrypi.org