Embedded Surveillance System with Auto Image Capturing and Sending Image through IoT

61 International Journal for Modern Trends in Science and Technology

Embedded Surveillance System with Auto Image Capturing and Sending Image through IoT

B.Durga Mahesh¹ | B. Sangeeth Kumar² | K V R Rajesh³

1 PG Scholar, Department of ECE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.

2Head, Department of ECE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.

3Assistant Professor, Department of ECE, Sanketika Institute of Technology and Management, Visakhapatnam, Andhra Pradesh, India.

To Cite this Article

B.Durga Mahesh, B. Sangeeth Kumar and K V R Rajesh ,“ Embedded Surveillance System with Auto Image Capturing and Sending Image through IoT”, International Journal for Modern Trends in Science and Technology, Vol. 04, Issue 03, March 2018, pp.:61-68.

This paper work is an attempt to design and implement the finger print based authentication security surveillance system with auto image capturing and sending to through IOT. Security is prime concern in our day-to-day life. Everyone wants to be as much as secure as to be possible. An access control systems forms a virtual link in a security chain. The Arduino microcontroller presented here is an access control system that allows only authorized persons to access a restricted area. This system is best suitable for corporate offices, Hotels, ATMs, Bank Locker rooms and home security.

The main idea is to provide security to detect an intruder in a home, ATM, Bank Locker rooms, Industries.

Here Arduino microcontroller place major role which is nothing but decision of authentication. Here predefined authentication key is stored in Arduino microcontroller. it takes password inputs form keyboard, when input matches with the stored password then the output device is enable. If it fails the authentication the password option is available it again rechecks the information. If both the authentications is right then it generates a OTP (one time password) this code is sends through the GSM module. By entering the OTP in the system then it is correct OTP then the system can give a control to access the denied account. When we enter a wrong authentication finger print of sensor then a message stating that it is a “wrong authentication” will be displayed on LCD and also typing “wrong password” will be displayed on LCD, and auto capture the images and sending these images to authorized account or servers, related personnel through internet of things and buzzer will be on.

Keywords: 3-input XOR/XNOR circuits, power consumption, propagation delay, SCDM

Copyright © 2018 International Journal for Modern Trends in Science and Technology All rights reserved.

I. INTRODUCTION

When we want to have a clear vision on every aspect which is related to our daily life we will have a eye on it, from the we defines different techniques to get the data and wanted our every movement and our security should be under our supervision so, we are on development on the same featured system that will protect our authentication and our

secured data under our supervision. Supervision and providing security come under strong surveillance systems or Surveillance algorithms, these system or an algorithms helps to provide a detail observation and acquiring data with a selected boundaries of security with a breach levels. Recently surveillance systems have become more important for everyone’s and everywhere for the purpose of security. The embedded surveillance ABSTRACT

Available online at: http://www.ijmtst.com/vol4issue3.html

International Journal for Modern Trends in Science and Technology

ISSN: 2455-3778 :: Volume: 04, Issue No: 03, March 2018

62 International Journal for Modern Trends in Science and Technology system, frequently used in a home, an office or a

factor, uses a authentication information basing person will be allowed to restricted area or not.

Based on these systems there is a regular pattern in its algorithm but there are different techniques to achieve this results by using various means like using human assistance, etc. But in this project we have chosen surveillance assistance latest techniques using some sensors like surveillance camera, authentication sensor for improvement in supervision and security aspect.

There are various protection on our authentication by provided a strong security like make a digital passwords, digital one time passwords, Encryption of data digitally of our own identity or selected information. By this we are making our security standards a bit high but we are failed in providing required surveillance this will leads to hunt or disclose our data of self or an information which is under protection every time. These measures would be classified based on our priority and confidentialness of our information which can be of our own or and other information which should not to be disclosed. With the introduction of surveillance and security measure we had chosen it and a project titled as “EMBEDDED SURVEILLANCE SYSTEM WITH AUTO IMAGE CAPTURING AND SENDING IMAGE THROUGH IOT”.

Embedded Surveillance System with Auto Image Capturing and Sending Image Through IOT is a project defines the surveillance systems with the help of embedded devices, capturing image automatically if there is any breach in their authentication and send the image to a selected server system where a person will log into it a checks their security breach in ratio that where, when, whom by it is done. We made this system on mark by making a strong surveillance process with the help of embedded systems. First we are going to make a data or and information on a system and we are going to place a authentication process using their finger prints, that are the authentication of a particular person and which are unique in a nature for every individual, so then we can easily make a system to know whom should this data can be an open source followed by a digital security by asking a password so this itself helps in making a double strong security, though the person is have a authentication through which he can pass on but there should be a security code like system that improvise his or a system security so then only some of their information can be disclose that this is entirely based on their

priorities, this digital security would be the password that he had kept for his own this cannot be shown or cannot be used by any one. If the person fails in presenting or in cross check of the both of his identities he will be sent a digital one time password that what we regularly familiar with OTP. By this OTP we are going to send the person to proceed his next level of security by placing his password if the person fails in entering his password correctly he is going to receive a OTP message the can help him to create a password and can log into it. If the person who is un authorized and try to open a specific persons id by his authentication, we are capture his image by matlab and send to server where the breach got happened to an information of a individual person who is authorized and hold this id can log into it and can see his breach status and the report with a image information so he can make a clear notice to improve his security or to inform any other personal who will take care about his breach of his security. By this system m we can offer and maximum security by providing a surveillance on unauthorized personal and by provided security the system or an information which is related to individual or a organization or their self identity.

II. SYSTEM WORK FLOW

User registration and authorization: before using the system. Each client to be register in memory their finger print in server and if any required data storing in memory further if any unconditional situation will happen their might retrieve processing of their identify. if finger print process it will accept finger recognition this is will said to be permanent they are allow permanent to regions and resources. If we want requests give temporally permission to unauthorized person it will provide password and OTP to it. he can acquire special permissions to access previously unauthorized locations or resources in this manner. Our system prototype categorizes permanent permissions into three levels, denoted from low to high by 0, 1, and 2. A user with the level-1 permission needs special authorization for any access at any time. If he has the level-2 permission, he can access the given area or resource during office hours. The level-3 permission offers him the maximum freedom to access the authorized object at any time

Our proposed system will work in procedure. Any person who wants to get access must be authenticated first. If he is a registered user, he may optionally provide his authorization proof to

63 International Journal for Modern Trends in Science and Technology be checked. Then, the system verifies his

permission to access the region or resource protected by the system. This permission may come from permanent permissions associated with his authenticated identity or the temporary authorization he just shows. If he has the permission, the system sends signals to the electronic lock to open the door; otherwise he is turned away.

In below flow chart will tell that operation flow. In that finger print will scan continuously scan mode if any person will placed finger take scan image will be check data base if match image with data based then it will check password if correct the password then send message OTP if typing OTP correctly then person will allow place or account and wrong typing OTP system will said please try again if finger print will correct and password is wrong then sending OTP will generated if type OTP correct then allow and if it will wrong system said to please try again If finger print will wrong and password will be correct then please finger. If finger print wrong and password also wrong then capture image thought camera and image to sending server

Flow chart of embedded surveillance system with auto image capturing and sending image through

IoT

2.1 BLOCK DIAGRAM:

Block diagram of project FINGER MODULE:

This is Finger print scanner module which is used a external peripheral in some systems, in our project we are using this module to scan the person or an individual authentication so then this could clear the security level and there helps in improvement of surveillance. Based on the advantage that we had that uniqueness in the person identity this will helps in find the identification and the information that is saved can be accessible.

CAMERA:

Where this used to take a picture of un authorized personal for a better improvement of a surveillance system and then this is being stored in server that can be easily used for the identification of the people, in this we can use any type of camera that are available, but our project we are using a web cam which is implied to a laptop or an external laptop is being used.

ARDUINO:

This is a Microcontroller which is used to controlled operation like many things when we related this system to our project it means that this used for find the authentication of the object or a person or an individual, where for this we are using a finger print scanner which is linked to this controller which helps in getting the information a person and send message sand many more controlled operation can be done.

KEYPAD:

It is used as a input peripheral to any device where in this we are using this system or a mod8ule for send a input to controller or a controlling system a means of authentication for giving a input feed know as password. By this we are giving a password to the system as identification.

16x2 LCD:

This a LCD display which is an external peripheral for our system which used as display module for giving the output that are processed, in

64 International Journal for Modern Trends in Science and Technology our project we are using this for knowing the status

of process and giving input like password and finger scan when it is displayed to proceed further, after signing into it this will display our id so then the confirmation also can be observed using this system.

SYSTEM ARCHITECTURE:

Our system will contain finger print module and GSM, Keypad, camera, pc. When finger print module has to register authorized finger print and password will provide to it, GSM will send OTP to the register number. Camera play major role. we have four case In that the first case if both authentication correct then will be provide OTP will generated to register number then allow to place.

Second case of system if finger print module get authorized person but password was wrong may be wrongly typing password or unconditional situation on time we can generated OTP to register number then give permission. Third case of system if finger print module wills recognition unauthorized but password will be correct should not to be allowed. In then fourth case both authentication wrong then capture image by camera thought matlab program it will storing in the location of current directory and send though image FTB Server. We can check thought user id and password for dedicated number

SYSTEM DESIGN

The proposed system involves two part: an access area and entering authorized user. Each authorized take proper instruction for security place. In that system we can provide two type of security are finger print module which can recognition proprietary and another security is password after that generated one time password (OTP). To support of OTP scheme generated addition secure in advance

On the basis of the hardware system, we are developing more security to the system to proposed finger print module particular person it will check that person have authority or not. If it will satisfy it go to next security level basis password if predefine password giving to the user if any mal parities activity or by mistake wrongly typing password it will inform to you and generated one time pass word (OTP). The OTP will generated in this manager we can design software system according to the client/server. When client will provide secure of user, while the server on the control operation. Both client and server maintain a random password generator. It will be synchronized generating password. Then we give permission to it

SOFTWARE REQUIRED

Here we can used only ingrate development environment (IDE) is arduino arduino very easy access and used. the program of the majority to verify a person will have right access place or account. If unauthenticated person tring to access system, an capture image by matlab program and upload to web server

FINGERPRINT

R305 module and fingerprint recognition with various features

Traditionally in law enforcement applications fingerprints were acquired off-line by transferring the inked impression of thumb on a paper.

Recently, the automated fingerprint verification systems use live-scan digital images of fingerprint acquired from a fingerprint sensor or module.

These sensors or module are based on optical, capacitance, ultrasonic and thermal and other imaging technologies. The optical sensors are most popular and are fairly expensive. These sensors are based on FTIR (Frustrated Total Internal Reflection) technique. When a finger touches the sensor surface which actually is a side of a glass prism, in which one side of the prism is illuminated through a diffused light. While the fingerprint valleys that do not touch the sensor surface reflect the light, ridges that touch the surface absorb the light. The sensor exploits this differential property of light reflection to differentiate the ridges (which appear dark) from valleys.

Like the optical sensor algorithm for data acquisition there are two other algorithms for data acquisition namely, capacitive sensor utilization method and ultra sound technology based sensors.

As in our project we have tried to use the first one that is optical sensors method. So we have not described the other two methods. Image Pre-processing The pre-processing steps try to

65 International Journal for Modern Trends in Science and Technology compensate for the variations in lighting, contrast

and other inconsistencies which are introduced by the sensor during acquisition process. There are many processes but presently some methods are very famous which the following are: Gaussian Blur: A convolution operation which applied to the original fingerprint image to reduce image noise introduced by sensor during data acquisition.

Sliding window contrast adjustment: Sliding window contrast adjustment is used to compensate for any lighting inconsistencies within a fingerprint and to obtain contrast consistencies among different fingerprints. Histogram based intensity level adjustment: This is a final step is to further enhance the ridges and valleys. Feature extraction The feature extraction technique for minutiae points (bifurcations and endings), pores and ridge contours is described in this section. Minutiae Extraction: Most of the minutiae extraction techniques trace the fingerprint skeleton to find different types of minutiae points. Orientation Estimation: A fingerprint image is an oriented texture pattern and a ridge orientation at a pixel (x, y) is the angle that the ridges within a small neighborhood centered at (x, y) form with the horizontal axis. Thus a fingerprint is divided into many blocks. An analysis of gray scale gradient within a block is done to estimate the representative ridge orientation within that block.

Segmentation: During this stage the portions of the fingerprint image depicting the finger foreground is segmented. This further eliminates the spurious features from background and noisy region within a fingerprint. Ridge Detection: An important property of the ridges in a fingerprint image is that the gray level values on ridges attain their local maxima along a direction normal to the local ridge orientation. The resulting ridge map often contains false ridges in the form of holes and speckles. The ridge map is cleaned using a connected component algorithm. Finally the ridges are thinned using standard thinning algorithm. Minutiae Detection:

The minutia points are then extracted from the thinned ridge map by examining the 8 neighborhood of each ridge skeleton pixel. The ridge breaks, Ridge bending direction and width are the information extracted but this may contain spurious minutiae. This may occur due to presence of noise, ridge breaks (even after enhancement) and image processing artifacts. Post processing: A number of heuristics are used to remove spurious minutiae. False minutiae are generally found at the borders as the ridges end abruptly. These false minutiae at the border can be recognized by

examining the number of foreground pixels in a region around minutia point. If number of foreground pixels is relatively small then the minutia point can be removed.

Architecture of fingerprint matching algorithm GSM

GSM Module GSM/GPRS Modem-RS232 is built with Dual Band GSM/GPRS engine- SIM900A, works on frequencies 900/ 1800 MHz .The Modem is coming with RS232 interface, which allows you connect PC as well as microcontroller with RS232 Chip (MAX232). The baud rate is configurable from 9600-115200 through AT command. The GSM/GPRS Modem is having internal TCP/IP stack to enable you to connect with internet via GPRS. It is suitable for SMS, Voice as well as DATA transfer application in M2M interface. The onboard Regulated Power supply allows you to connect wide range unregulated power supply. Using this modem, you can make audio calls, SMS, Read SMS, only a subset of the ATCommand set needs to be implemented.

ARDUINO MEGA 2560

The Mega 2560 board can be programmed with the Arduino Software (IDE). For details, see the reference and tutorials. The ATmega2560 on the Mega 2560 comes preprogrammed with a bootloader that allows you to upload new code to it without the use of an external hardware programmer. It communicates using the original STK500 protocol (reference, C header files). You can also bypass the bootloader and program the microcontroller through the ICSP (In-Circuit Serial Programming) header using Arduino ISP or similar; see these instructions for details.

The ATmega16U2 (or 8U2 in the rev1 and rev2 boards) firmware source code is available in the Arduino repository. The ATmega16U2/8U2 is loaded with a DFU bootloader, which can be

66 International Journal for Modern Trends in Science and Technology activated by: On Rev1 boards: connecting the

solder jumper on the back of the board (near the map of Italy) and then resetting the 8U2. On Rev2 or later boards: there is a resistor that pulling the 8U2/16U2 HWB line to ground, making it easier to put into DFU mode. You can then use Atmel's FLIP software (Windows) or the DFU programmer (Mac OS X and Linux) to load a new firmware. Or you can use the ISP header with an external programmer (overwriting the DFU bootloader).

See this user-contributed tutorial for more information. The Mega 2560 can be powered via the USB connection or with an external power supply.

The power source is selected automatically.

External (non-USB) power can come either from an AC-to-DC adapter (wall-wart) or battery. The adapter can be connected by plugging a 2.1mm center-positive plug into the board's power jack.

Leads from a battery can be inserted in the GND and Vin pin headers of the POWER connector. The board can operate on an external supply of 6 to 20 volts. If supplied with less than 7V, however, the 5V pin may supply less than five volts and the board may become unstable. If using more than 12V, the voltage regulator may overheat and damage the board. The recommended range is 7 to 12 volts.

The power pins are as follows:

 Vin. The input voltage to the board when it's using an external power source (as opposed to 5 volts from the USB connection or other regulated power source). You can supply voltage through this pin, or, if supplying voltage via the power jack, access it through this pin.

 5V. This pin outputs a regulated 5V from the regulator on the board. The board can be supplied with power either from the DC power jack (7 - 12V), the USB connector (5V), or the VIN pin of the board (7-12V). Supplying voltage via the 5V or 3.3V pins bypasses the regulator, and can damage your board. We don't advise it.

 3V3. A 3.3 volt supply generated by the on-board regulator. Maximum current draw is 50 mA.

 GND. Ground pins.

 IOREF. This pin on the board provides the voltage reference with which the microcontroller operates. A properly configured shield can read the IOREF pin voltage and select the appropriate power source or enable

voltage translators on the outputs for working with the 5V or 3.3V.

MEMORY

The ATmega2560 has 256 KB of flash memory for storing code (of which 8 KB is used for the bootloader), 8 KB of SRAM and 4 KB of EEPROM (which can be read and written with the EEPROM library).

COMMUNICATION

The Mega 2560 board has a number of facilities for communicating with a computer, another board, or other microcontrollers. The ATmega2560 provides four hardware UARTs for TTL (5V) serial communication. An ATmega16U2 (AT mega 8U2 on the revision 1 and revision 2 boards) on the board channels one of these over USB and provides a virtual com port to software on the computer (Windows machines will need a .inf file, but OSX and Linux machines will recognize the board as a COM port automatically. The Arduino Software (IDE) includes a serial monitor which allows simple textual data to be sent to and from the board. The RX and TX LEDs on the board will flash when data

is being transmitted via the

ATmega8U2/ATmega16U2 chip and USB connection to the computer (but not for serial communication on pins 0 and 1). A SoftwareSerial library allows for serial communication on any of the Mega 2560's digital pins. The Mega 2560 also supports TWI and SPI communication. The Arduino Software (IDE) includes a Wire library to simplify use of the TWI bus; see the documentation for details. For SPI communication, use the SPI library.

III. OUTPUT IMAGES IMAGE 1:

IMAGE 1will show that circuit and laptop will running matlab code it is monitoring place which camera place in it

67 International Journal for Modern Trends in Science and Technology IMAGE 2:

Image 2 it will showing operations mode in LCD display

IMAGE 3:

Image 3 showing that image upload server thought IoT

IMAGE 4

Image 4 It showing image in server

IV. CONCLUSION

Embedded surveillance system with auto image capturing and sending through IOT has application in many areas like Industries, Companies, Offices, Shopping malls. This system shows the type of sensor which are improving the overall sensing probability by using the fingerprint sensor. As well as we are providing the facility of hosting live

images to certain (Authorized) person via IOT and detecting the unauthorized persons who are doing these wrong authentications and it is controlled by generating OTP(one time password) and sending facility through the GSM Module.

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