DESCRIPTION

FIELD OF THE INVENTION
The Present invention is related in using a Microcontroller- Arduino with STM32, Raspberry Pi, Barcode reader, Iris scanner, Fingerprint scanner and Wireless LAN (Wi-Fi) as an Electronic Voting
Machine.
BACKGROUND OF INVENTION
The main goal of this invention is to develop an electronic machine which will be acting as an Electronic Voting Machine. The basic implementation is to develop the gadget with the use of a Microcontroller- Arduino with STM32, Raspberry Pi and Wireless LAN (Wi-Fi). Here we are going to develop the machine in such a way that it can be used for election purpose in Government. Here we focused on hybrid system which can be more users friendly and also it is constructed in such a way that it is portable and can be used in any environment by the use of Internet connectivity.
PRIOR ART
Electronic voting machine is a concept where it should be readily usable and must be highly secured to the citizens of the country because it delivers and makes the citizens to realize how the world looks with a good leader. The following arts are some of the ways on how the citizens are using the Electronic voting machines in different countries. (1) In India, Voter-verified paper audit trail (VVPAT) system was introduced in 8 of 543 parliamentary constituencies as a pilot project in Indian general election, 2014. (2) Electronic voting in Belgium has been based on two systems known as Jites and Digivote. (3) Optical scan voting system in Canada. (4) European Commission launched the CyberVote project with the aim of demonstrating "fully verifiable on-line elections guaranteeing absolute privacy of the votes and using fixed and mobile Internet terminals. The proposed system is very different to the existing methodologies and system, because we designed the electronic voting system as we can say it as a hybrid system.
RELATED PATENTS
1. 20160284150 System And Method For Preparing Test Ballots And For Testing An Electronic Voting Machine - US - 29.09.2016
2. WO/2016/022864 System and Method for Securely Receiving and Counting Votes in an Election-11.02.2016

3- 20140337108 Enhanced technology of touch-sensitive input peripherals for voter data entry in Electronic Voting Systems -US-13.11.2014
4. 20130325562 Electronic voting machine that randomly stores and sequentially retrieves cast ballots for viewing after the election is over-US - 5.12.2013
5. 2013235549 Electronic voting system-JP-21.11.2013
6. 2431937 Electronic voting method and apparatus EP-21,03.2012
7. 20110114724 electronic voting method and apparatus US -19.05.2011
8. 7237717 Secure system for electronic voting - US - 3.07,2007
9. 1020070033760 ATM for providing an electronic voting function and an implementing method thereof, particularly for using resources of the ATM connected to the banking network - KR - 27.03.2007
SUMMARY OF THE INVENTION
The key idea is to develop an electronic machine which acts as a Voting machine system for the purpose of elections, here it is been designed and constructed with the use of microcontroller and a raspberry pi. For punching votes we have used buttons which are controlled by the arduino with STM32 microcontroller. The data's i.e. the votes are saved in the central server machine and these data's are transferred with the use of WLAN i.e. Wi-Fi connection. The Voting machine is portable and also user friendly. For authentication of the citizen while voting the AADHAR (UIDAI) number or a common access card number of the country is detected with the use of the barcode which is pre¬printed on the AADHAR Card or the common access card. Here we have designed the electronic machine in such a way that it can get its power supply either by plugging into the power supply unit.
BRIEF DESCRIPTION OF THE FIGURES
Fig: 1 is the Block diagram of Electronic Voting System. .
DETAILED DESCRIPTION OF THE FIGURES
Fig: 1 represents the Block diagram of Electronic Voting Machine explaining how the gadget or the
system works.
DETAILED DESCRIPTION
The proposed system is a Electronic voting machine which consists of a Microcontroller-Arduino with STM32, a Raspberry Pi, an Iris Scanner, a finger print scanner, a WLAN (Wi-Fi) connectivity, and altogether are managed by a Central data server system.

We are creating such a database which will act to be most advanced systematic and also the designed database will be hack proof, as there may be certain intrusions like SQL injection which can be raised by the attackers. We are using MongoDB which can run on any sort of operating system environment and for database creation we have used NoSQL database program. The use of the database will be consisting of AADHAR Card unique ID number or the Common access card number of the countries Government as a Primary key and this Primary key will be merged to the Iris layer and the finger impressions which are already scanned and sorted in the database, this primary key will also check if the person who is voting is up to the eligibility provided by the Government of the Country.
The Wireless Local Area Network (WLAN: Wi-Fi) is connected to the microcontroller which holds up with the Iris scanner, finger print scanner, Barcode scanner, Vote punching buttons and finally to the Central data server system. The information's like the Barcode from the card, Iris image and the finger impressions are sent as an identification input, which are matched to the primary key of the central database and after authentication the person is required to punch his/her vote using the buttons which are mounted onto the main unit of the electronic voting machine.
For dual verification we are using Iris scanners and finger print scanners and these images are already present in the database of the central server which are uniquely matched with an AADHAR number or the common accessible card of the country.
A standardized identification peruser (or barcode scanner) is an electronic gadget that can read and yield printed scanner tags to a PC. Like a flatbed scanner, it comprises of a light source, a focal point and a light sensor making an interpretation of optical driving forces into electrical ones. Also, about all standardized identification peruser contain decoder hardware breaking down the standardized identification's picture information gave by the sensor and sending the standardized identification's substance to the scanner's yield port. The scanner determination is measured by the span of the dab of light discharged by the peruser. On the off chance that this dab of light is more extensive than any bar or space in the scanner tag, then it will cover two components (two spaces or two bars) and it might deliver wrong yield. Then again, if a too little speck of light is utilized, then it can confuse any spot on the standardized identification making the last yield off-base. The most regularly utilized measurement is 13thou (0.013 in or 0.33 mm), albeit a few scanners can read codes with measurements as little as 3 thou (0.003 in or 0.075 mm). Most producers promote standardized identification determination in mil, which is compatible with thou. Littler scanner tags must be printed at high determination to be perused precisely.

To begin with the framework needs to confine the internal and external limits of the iris (pupil and limbus) in a picture of an eye. Advance subroutines identify and prohibit eyelids, eyelashes, and specular reflections that regularly impede parts of the iris. The arrangement of pixels containing just the iris, standardized by an elastic sheet model to make up for understudy widening or narrowing, is then examined to remove a bit design encoding the data expected to think about two iris pictures. For identification (one-to-many template matching) or verification (one-to-one template matching), a template created by imaging an iris is compared to stored template(s) in a database. If the Hamming distance is below the decision threshold, a positive identification has effectively been made because of the statistical extreme improbability that two different persons could agree by chance ("collide") in so many bits, given the high entropy of iris templates.
A fingerprint scanner framework has two fundamental occupations - it needs to get a picture of your finger, and it needs to figure out if the example of edges and valleys in this picture coordinates the example of edges and valleys in pre-checked pictures. Just particular qualities, which are one of a kind to each unique mark, are separated and spared as a scrambled biometric key or numerical representation. No picture of a unique finger impression is ever spared, just a progression of numbers (a parallel code), which is utilized for confirmation. The calculation can't be reconverted to a picture, so nobody can copy your fingerprints.
Each and every equipment in the main unit is interconnected and also these equipments are in direct connection to the WLAN (Wi-Fi) internet connectivity for superfast process.