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Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 43-46, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 43
Intelligent Controlled Residence and Face Recognition Technology
P.Nagarajan1
, R.Divya2
, K.Jeeva3
, P.Maheshwari4
and P.Agalya5
1
Assistant Professor, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: greennagarajan@gmail.com
2
UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: divyaachitra@gmail.com
3
UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: hema.jeeva96@gmail.com
4
UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: maheshwarisweety0894@gmail.com
5
UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: agalyaponnusamy@gmail.com
Article Received: 20 February 2017 Article Accepted: 28 February 2017 Article Published: 02 March 2017
1. INTRODUCTION
Nowadays, automatic personal identification became popular
by using biometrics data instead of using cards, passwords or
pattern. Most of the biometrics data have to be controlled by
using fingerprint scanner, palm print scanner, DNA analyzer
they have to touch with the required hardware in the stage of
data collection. The face is the primary attention of the
researchers. This became an important security purpose in the
biometric technologies. The benefit of our proposed system is
that face recognition does not require to be touched with any
hardware.
In the existing system of face recognition technology we have
to save the database of our required faces. This is a major
drawback because if the same people with different facial
expressions are there which couldn’t match with the database
then the door wouldn’t open. This leads to major trouble thus
we would access the image directly in our mobiles through IP
Camera. If a person comes near by the door then the PIR
Sensor senses and sends a notification to the user through
GSM.
The GSM gets input from the Arduino and drives the Dc
motor through the relay interfaced with it. The home
appliances could be automatically controlled without using
remote controls by our android which passes the signal to the
Bluetooth module.
The Bluetooth module passes the information to the Atmel
microcontroller. This controller controls the action of the
electrical appliances. This get the power source from the solar
panel the charge would be stored in the batteries.
2. PROPOSED SYSTEM
In our proposed system we are going to control the home
appliances using android mobiles using the Bluetooth
technology. Here the Bluetooth of the mobile is interfaced
with the Bluetooth module HC-05 through which we are
going to control the appliances by just sitting at one place in
our home.
The signal from the android is given to the Bluetooth module
through the Bluetooth it’s a wireless technology in which Blue
control application is used to pass the commands. Then the
signal would be transmitted to the Atmel microcontroller.
Atmel microcontroller controls the electrical appliances. The
controller passes the signal to the relay this operates the
electrical appliances. This setup gets power supply from the
conventional solar energy.
In addition to this automation we are also going to attach
secured door access system here we are going to use IP
camera this is nothing but Internet Protocol camera. This IP
camera is fixed at the door step of the house and when a
person standing at the door step his/her image will be captured
and this raw image will be directly sent to our android mobiles
and it is the wish of the user to allow the person or not if the
person is an authorized person we are going to allow them else
we can reject their entry.
When the person comes nearby the door PIR sensor senses
and sends a notification to the user through GSM and SMS
notification is sent to the user and the user has to open the app
in order to visualize the person. The app passes the signal to
the Arduino microcontroller this would control the driver
ABSTRACT
The main objective of this project is to develop a secured home automation. Now a day’s science is developing as much as possible. Even though there
are various security systems but consuming large power. Now a day’s robbery rate is very high. We are proposing a novel system to prevent robbery
in highly secured area with lesser power consumption. This system has face recognition technology which grants access to only authorized people to
enter that area. If others enter that place without access using some other means then the system alerts the security personnel and streams the video
captured by the security camera. The security camera used in our proposed system is IP camera through which we could able to watch who are
entering in our area through our android mobiles. PIR sensors are used in this to sense the person in front of the door. The Arduino which is used to
send message alert by GSM through interfacing the RS 232 cable and with relay to drive the Dc motor. This technology is being remotely controlled
by android smart phones. Similar to that we are also using automatic control of electrical appliances using the android mobiles. Instead of using
conventional switches we are using android Bluetooth technology. This is achieved by using the Atmel micro controller as well as Bluetooth module
which acts as the interface between the appliances and the user .The power supply to the project is supplied with the help of solar panel which is also
a conventional energy and saves electricity.
Keywords: IP camera, Bluetooth module, Android, GSM and PIR Sensor.
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 43-46, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 44
circuit. The driver circuit drives the DC Motor. The DC
Motor which is used to open/close the door.
3. METHODOLOGY
Fig.1. Block Diagram of Face Recognition Technology
Fig.2. Block Diagram of Intelligent Controlled Residence
4. WORKING
The above figure 1&2 shows the block diagram of the
intelligent controlled residence and face recognition
technology. Our proposed system can be operated in two
different sections, one for operating our home appliances
through our androids by passing the signals to Bluetooth
module and another for capturing the image and passes it to
the user by the GSM alert.
IP Camera: IP Camera which is used to capture the photo of
the person who stands nearby the door step. The image would
be passed to the user mobile through the Wi-Fi. In the user
mobile the user must have IP address of the IP camera.
GSM Module: GSM module is used to send the message to
the authorities after the PIR sensor senses the movement
before the door step. This alerts the user to somebody is
before the door step.
Atmel Microcontroller: The controller which is used to
control the home appliances this would be connected with the
relay to get 12v supply and switch on/off the electrical
appliances. The controller gets the input from the Bluetooth
module.
Arduino: The Arduino which is interfaced with GSM, RS232,
PIR Sensor, Relay. The relay gets the input from the Arduino
and drives the DC Motor. The Arduino microcontroller is
programmed with embedded C and which gets power supply
from the solar panel.
Bluetooth Module: The Bluetooth module used in our
proposed system with the specification of HC-05. This gets
the input from the android through the Bluetooth. The
Bluetooth module gives the input to the Atmel
microcontroller.
Solar Panel: The solar panel gives the power supply to the
entire setup. The solar energy is converted into electrical
energy through the photovoltaic cells.
Fig.3. Flowchart for Face Recognition Technology
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 43-46, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 45
5. FLOWCHART
Fig.4. Flowchart for Intelligent Controlled Residence
6. CONCLUSION
In this paper, home automation has been developed by using
our android mobiles. The Bluetooth of the android mobile is
interfaced with the Bluetooth module through which we are
indirectly going to control the appliances. In this paper, the
face recognition technology has been developed in order to
study the potential application for automated door access
control. Among the other bio-metrics techniques, face
recognition approach possess one great advantage which is
user friendliness. The technique used here is nothing but a IP
camera fixed at the door step through which the image is
captured and a SMS alert is sent to the mobile through the
GSM module and then through the PIR sensor we are going to
sense the person and whether he/she is a authorized person
opens the door or not.
7. FUTURE SCOPE
In our future scope we are going to control all the household
appliances and the door access system using Li-fi technology.
Since Li-Fi technology travels at faster rate and hence covers
maximum distance. In our existing project we are interfacing
Bluetooth module and the Bluetooth of our mobile to control
the household appliances but in future using the Li-Fi
technology we can access the appliances from anywhere.
Similar with the door access system we can use the Li-Fi
technology.
ACKNOWLEDGEMENT
First and foremost we thank our guide Asst. Prof.P.Nagarajan
for constant encouragement and noble guidance. With great
pleasure we extend our deep sense of appreciation to
Dr.D.Sasikala, Head, Department of ECE for giving us an
opportunity to get done our paper and to increase our
knowledge. Lastly we wish each and every person involved in
making our thesis successful.
REFERENCES
[1] Hteik Hatr Lwin, Aung Soe Khaing, Hla Myo Tun,
“Automated Door Access System Using Face Recognition”,
International Journal of Scientific and Technology Research,
Volume 4, Issue 06, June 2015.
[2] Akshay.N.Patil, Rohit.B.Ranavare, Dayasagar.V.Ballal,
P.P.Kotekar, “Raspberry Pi Based Recognition System for
Door Unlocking”, International Conference on Recent
Innovations in Engineering and Management, March 2016.
[3] Shrikrishna Jogdand, Mahesh Karanjkar,
“Implementation of Automated Door Accessing System with
Face Design and Recognition”, International Journal of
Science and Research, 2014.
[4] I.Yugashini, S.Vidhyasri, K.Gayathri Devi, “Design and
Implementation of Automated Door Accessing System with
Face Recognition”, International Journal of Science and
Modern Engineering, Volume 1, Nov 2013.
[5] J.Shankar Kartik, K.Ram Kumar and V.S.Srimadhavan,
“Security System with Recognition, SMS Alert and
Embedded Network Video Monitoring Terminal”,
International Journal of Security, Privacy and Trust
Management, Volume 2, October 2013.
[6] Liton Chandra Paul, Abdulla AL Sumam, “Face
Recognition using Principal Component Analysis Method”,
International Journal of Advanced Research in Computer
Engineering and Technology, Volume 1, November 2012.
[7] Tripurantaka Swamy Garlapati, P.S.H.S. Lakshmi, “Smart
Home Automated Control System using Bluetooth Based on
Solar Panel”, International Journal of Science, Engineering
and Technology Research, Volume 4, November 2015.
[8] P.Pavan Kumar, G.Tirumala Vasu, “Home Automation
and Security System Using Arduino Android ADK”,
International Journal of Emerging Trends in Engineering
Research, Vol. 3, 2015.
[9] N.K.Kaphungkui, “RF based Remote Control for Home
Electrical Appliances”, International Journal of Innovative
Asian Journal of Applied Science and Technology (AJAST)
Volume 1, Issue 2, Pages 43-46, March 2017
© 2017 AJAST All rights reserved. www.ajast.net
Page | 46
Research in Electrical, Electronics, Instrumentation and
Control Engineering, Volume 3, Issue 7, July 2015.
[10] Qasim Hasan Mezher Al-Shebani, “Embedded door
access control systems based on face recognition”, University
of Wollongong, 2014.
AUTHORS BIOGRAPHIES
Prof.P.Nagarajan is working as an Assistant Professor in the
department of Electronics and Communication Engineering at
Vivekanandha College of Engineering for Women,
Tiruchengode, Tamilnadu. He pursued his B.E., degree in
Sengunthar Engineering College, Tiruchengode. He pursued
his M.E., degree in K.S.R College of Engineering,
Tiruchengode. His area of interest is Embedded System
Technologies.
R.Divya is pursuing her Bachelor of Engineering degree in
the stream of Electronics and Communication Engineering at
Vivekanandha College of Engineering for Women,
Tiruchengode, Tamilnadu. Her area of interest is Image
Processing based Embedded System.
P.Maheshwari is pursuing her Bachelor of Engineering
degree in the stream of Electronics and Communication
Engineering at Vivekanandha College of Engineering for
Women, Tiruchengode, Tamilnadu. Her area of interest is
Image Processing based Embedded System.
K.Jeeva is pursuing her Bachelor of Engineering degree in the
stream of Electronics and Communication Engineering at
Vivekanandha College of Engineering for Women,
Tiruchengode, Tamilnadu. Her area of interest is Image
Processing based Embedded System.
P.Agalya is pursuing her Bachelor of Engineering degree in
the stream of Electronics and Communication Engineering at
Vivekanandha College of Engineering for Women,
Tiruchengode, Tamilnadu. Her area of interest is Image
Processing based Embedded System.

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Intelligent Controlled Residence and Face Recognition Technology

  • 1. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 43-46, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 43 Intelligent Controlled Residence and Face Recognition Technology P.Nagarajan1 , R.Divya2 , K.Jeeva3 , P.Maheshwari4 and P.Agalya5 1 Assistant Professor, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: greennagarajan@gmail.com 2 UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: divyaachitra@gmail.com 3 UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: hema.jeeva96@gmail.com 4 UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: maheshwarisweety0894@gmail.com 5 UG Scholar, Department of ECE, Vivekanandha College of Engineering for Women, India. Email: agalyaponnusamy@gmail.com Article Received: 20 February 2017 Article Accepted: 28 February 2017 Article Published: 02 March 2017 1. INTRODUCTION Nowadays, automatic personal identification became popular by using biometrics data instead of using cards, passwords or pattern. Most of the biometrics data have to be controlled by using fingerprint scanner, palm print scanner, DNA analyzer they have to touch with the required hardware in the stage of data collection. The face is the primary attention of the researchers. This became an important security purpose in the biometric technologies. The benefit of our proposed system is that face recognition does not require to be touched with any hardware. In the existing system of face recognition technology we have to save the database of our required faces. This is a major drawback because if the same people with different facial expressions are there which couldn’t match with the database then the door wouldn’t open. This leads to major trouble thus we would access the image directly in our mobiles through IP Camera. If a person comes near by the door then the PIR Sensor senses and sends a notification to the user through GSM. The GSM gets input from the Arduino and drives the Dc motor through the relay interfaced with it. The home appliances could be automatically controlled without using remote controls by our android which passes the signal to the Bluetooth module. The Bluetooth module passes the information to the Atmel microcontroller. This controller controls the action of the electrical appliances. This get the power source from the solar panel the charge would be stored in the batteries. 2. PROPOSED SYSTEM In our proposed system we are going to control the home appliances using android mobiles using the Bluetooth technology. Here the Bluetooth of the mobile is interfaced with the Bluetooth module HC-05 through which we are going to control the appliances by just sitting at one place in our home. The signal from the android is given to the Bluetooth module through the Bluetooth it’s a wireless technology in which Blue control application is used to pass the commands. Then the signal would be transmitted to the Atmel microcontroller. Atmel microcontroller controls the electrical appliances. The controller passes the signal to the relay this operates the electrical appliances. This setup gets power supply from the conventional solar energy. In addition to this automation we are also going to attach secured door access system here we are going to use IP camera this is nothing but Internet Protocol camera. This IP camera is fixed at the door step of the house and when a person standing at the door step his/her image will be captured and this raw image will be directly sent to our android mobiles and it is the wish of the user to allow the person or not if the person is an authorized person we are going to allow them else we can reject their entry. When the person comes nearby the door PIR sensor senses and sends a notification to the user through GSM and SMS notification is sent to the user and the user has to open the app in order to visualize the person. The app passes the signal to the Arduino microcontroller this would control the driver ABSTRACT The main objective of this project is to develop a secured home automation. Now a day’s science is developing as much as possible. Even though there are various security systems but consuming large power. Now a day’s robbery rate is very high. We are proposing a novel system to prevent robbery in highly secured area with lesser power consumption. This system has face recognition technology which grants access to only authorized people to enter that area. If others enter that place without access using some other means then the system alerts the security personnel and streams the video captured by the security camera. The security camera used in our proposed system is IP camera through which we could able to watch who are entering in our area through our android mobiles. PIR sensors are used in this to sense the person in front of the door. The Arduino which is used to send message alert by GSM through interfacing the RS 232 cable and with relay to drive the Dc motor. This technology is being remotely controlled by android smart phones. Similar to that we are also using automatic control of electrical appliances using the android mobiles. Instead of using conventional switches we are using android Bluetooth technology. This is achieved by using the Atmel micro controller as well as Bluetooth module which acts as the interface between the appliances and the user .The power supply to the project is supplied with the help of solar panel which is also a conventional energy and saves electricity. Keywords: IP camera, Bluetooth module, Android, GSM and PIR Sensor.
  • 2. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 43-46, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 44 circuit. The driver circuit drives the DC Motor. The DC Motor which is used to open/close the door. 3. METHODOLOGY Fig.1. Block Diagram of Face Recognition Technology Fig.2. Block Diagram of Intelligent Controlled Residence 4. WORKING The above figure 1&2 shows the block diagram of the intelligent controlled residence and face recognition technology. Our proposed system can be operated in two different sections, one for operating our home appliances through our androids by passing the signals to Bluetooth module and another for capturing the image and passes it to the user by the GSM alert. IP Camera: IP Camera which is used to capture the photo of the person who stands nearby the door step. The image would be passed to the user mobile through the Wi-Fi. In the user mobile the user must have IP address of the IP camera. GSM Module: GSM module is used to send the message to the authorities after the PIR sensor senses the movement before the door step. This alerts the user to somebody is before the door step. Atmel Microcontroller: The controller which is used to control the home appliances this would be connected with the relay to get 12v supply and switch on/off the electrical appliances. The controller gets the input from the Bluetooth module. Arduino: The Arduino which is interfaced with GSM, RS232, PIR Sensor, Relay. The relay gets the input from the Arduino and drives the DC Motor. The Arduino microcontroller is programmed with embedded C and which gets power supply from the solar panel. Bluetooth Module: The Bluetooth module used in our proposed system with the specification of HC-05. This gets the input from the android through the Bluetooth. The Bluetooth module gives the input to the Atmel microcontroller. Solar Panel: The solar panel gives the power supply to the entire setup. The solar energy is converted into electrical energy through the photovoltaic cells. Fig.3. Flowchart for Face Recognition Technology
  • 3. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 43-46, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 45 5. FLOWCHART Fig.4. Flowchart for Intelligent Controlled Residence 6. CONCLUSION In this paper, home automation has been developed by using our android mobiles. The Bluetooth of the android mobile is interfaced with the Bluetooth module through which we are indirectly going to control the appliances. In this paper, the face recognition technology has been developed in order to study the potential application for automated door access control. Among the other bio-metrics techniques, face recognition approach possess one great advantage which is user friendliness. The technique used here is nothing but a IP camera fixed at the door step through which the image is captured and a SMS alert is sent to the mobile through the GSM module and then through the PIR sensor we are going to sense the person and whether he/she is a authorized person opens the door or not. 7. FUTURE SCOPE In our future scope we are going to control all the household appliances and the door access system using Li-fi technology. Since Li-Fi technology travels at faster rate and hence covers maximum distance. In our existing project we are interfacing Bluetooth module and the Bluetooth of our mobile to control the household appliances but in future using the Li-Fi technology we can access the appliances from anywhere. Similar with the door access system we can use the Li-Fi technology. ACKNOWLEDGEMENT First and foremost we thank our guide Asst. Prof.P.Nagarajan for constant encouragement and noble guidance. With great pleasure we extend our deep sense of appreciation to Dr.D.Sasikala, Head, Department of ECE for giving us an opportunity to get done our paper and to increase our knowledge. Lastly we wish each and every person involved in making our thesis successful. REFERENCES [1] Hteik Hatr Lwin, Aung Soe Khaing, Hla Myo Tun, “Automated Door Access System Using Face Recognition”, International Journal of Scientific and Technology Research, Volume 4, Issue 06, June 2015. [2] Akshay.N.Patil, Rohit.B.Ranavare, Dayasagar.V.Ballal, P.P.Kotekar, “Raspberry Pi Based Recognition System for Door Unlocking”, International Conference on Recent Innovations in Engineering and Management, March 2016. [3] Shrikrishna Jogdand, Mahesh Karanjkar, “Implementation of Automated Door Accessing System with Face Design and Recognition”, International Journal of Science and Research, 2014. [4] I.Yugashini, S.Vidhyasri, K.Gayathri Devi, “Design and Implementation of Automated Door Accessing System with Face Recognition”, International Journal of Science and Modern Engineering, Volume 1, Nov 2013. [5] J.Shankar Kartik, K.Ram Kumar and V.S.Srimadhavan, “Security System with Recognition, SMS Alert and Embedded Network Video Monitoring Terminal”, International Journal of Security, Privacy and Trust Management, Volume 2, October 2013. [6] Liton Chandra Paul, Abdulla AL Sumam, “Face Recognition using Principal Component Analysis Method”, International Journal of Advanced Research in Computer Engineering and Technology, Volume 1, November 2012. [7] Tripurantaka Swamy Garlapati, P.S.H.S. Lakshmi, “Smart Home Automated Control System using Bluetooth Based on Solar Panel”, International Journal of Science, Engineering and Technology Research, Volume 4, November 2015. [8] P.Pavan Kumar, G.Tirumala Vasu, “Home Automation and Security System Using Arduino Android ADK”, International Journal of Emerging Trends in Engineering Research, Vol. 3, 2015. [9] N.K.Kaphungkui, “RF based Remote Control for Home Electrical Appliances”, International Journal of Innovative
  • 4. Asian Journal of Applied Science and Technology (AJAST) Volume 1, Issue 2, Pages 43-46, March 2017 © 2017 AJAST All rights reserved. www.ajast.net Page | 46 Research in Electrical, Electronics, Instrumentation and Control Engineering, Volume 3, Issue 7, July 2015. [10] Qasim Hasan Mezher Al-Shebani, “Embedded door access control systems based on face recognition”, University of Wollongong, 2014. AUTHORS BIOGRAPHIES Prof.P.Nagarajan is working as an Assistant Professor in the department of Electronics and Communication Engineering at Vivekanandha College of Engineering for Women, Tiruchengode, Tamilnadu. He pursued his B.E., degree in Sengunthar Engineering College, Tiruchengode. He pursued his M.E., degree in K.S.R College of Engineering, Tiruchengode. His area of interest is Embedded System Technologies. R.Divya is pursuing her Bachelor of Engineering degree in the stream of Electronics and Communication Engineering at Vivekanandha College of Engineering for Women, Tiruchengode, Tamilnadu. Her area of interest is Image Processing based Embedded System. P.Maheshwari is pursuing her Bachelor of Engineering degree in the stream of Electronics and Communication Engineering at Vivekanandha College of Engineering for Women, Tiruchengode, Tamilnadu. Her area of interest is Image Processing based Embedded System. K.Jeeva is pursuing her Bachelor of Engineering degree in the stream of Electronics and Communication Engineering at Vivekanandha College of Engineering for Women, Tiruchengode, Tamilnadu. Her area of interest is Image Processing based Embedded System. P.Agalya is pursuing her Bachelor of Engineering degree in the stream of Electronics and Communication Engineering at Vivekanandha College of Engineering for Women, Tiruchengode, Tamilnadu. Her area of interest is Image Processing based Embedded System.