Abstract: A smart electronic vote registering device system which authenticates the voter to register his/her vote from anywhere in the country. The device authenticates the registered voter to cast vote first, based on his/her Aadhar/Voter ID, fingerprint recognition, and face recognition to its respective constituency on the electronic ballot. After the verification of Identity card and fingerprint the ballot sheet of its respective constituency is displayed on the touch sensitive display screen. The UIDAI Database is accessed for data verification. Then user’s face recognition will take place, there on, electronic ballot will be enabled and his/her vote will be casted directly into his/her respective constituency. Once voting is completed the voter will get a confirmation message on his/her registered cell phone related to the vote he/she casted. The vote registering machine shall be kept at public offices of all villages/cities so that the voter can cast his/her vote from anywhere in the country
Description:Field of Invention:
An electronic voting machine that uses biometric data from voters and the UIDAI database for unique identification. After the voter's face and fingerprint are identified using UIDAI-registered data, the voter will be able to cast his or her ballot. Additionally, the voter must press their finger on the fingerprint scanner that is located on the electronic ballot in front of each proposition they wish to vote on.
Background of Invention:
People who live far away from their hometowns tend to travel back just for the voting purpose, some can't even travel to vote due to other commitments. Verifying the fingerprints with the help of the UIDAI Database, a person can cast a vote from anywhere in the country.
Furthermore, the authentication of personalities is popularly done by the usage of biometric features due to their uniqueness. There is tremendous development in biometric sensors used today in various authentication devices. The usage of these biometric sensors in the electronic voting machine will allow voting to registered voters from anywhere in the country as well as avoid fake voting. Fake voting here refers to voting by unauthorized persons or voting made in the absence of a registered voter. Another drawback of the existing machines is that the user will not get electronic confirmation of the vote he/she cast.
The existing electronic voting method verifies the user manually and then allows him/her to cast their vote. The method described here verifies and authenticates the voter based on his/her biometric features registered with authorities for his/her unique identification. The electronic device used for voting shall have a face recognition sensor and fingerprint sensor to authenticate the user to allow him/her to cast the vote to avoid voting by unauthorized person. Since, the fingerprint is verified with UIDAI Database, he/she can cast his/her vote from anywhere in the country to his/her constituency. After the face verification the electronic ballot will be enabled to register the vote. To cast the opinion of the voter the fingerprint scanner shall be placed on the electronic ballot to increase the security further. The confirmation of voters' opinion shall be sent to user’s registered mobile number for confirmation. This ensures a voter about his/her opinion that he/she has casted.
Summary of invention In an embodiment, the electronic vote registering device is disclosed. The device comprises a card reader/scanner module with fingerprint sensor, touch sensitive display unit and a face recognition module that verifies users UIDAI Database and authenticates the registered voter before allowing him or her to cast a vote. The card reader/scanner first reads/scans the voter aadhar card. After the verification of Identity card the ballot sheet of its respective constituency is displayed on the touch sensitive display screen. Then the user has to authenticate his/her identity through fingerprint recognition which will be verified with the UIDAI Database. After the verification, user’s face recognition will take place, there on, electronic ballot will be enabled and his/her vote will be casted directly into his/her respective constituency. Once voting is completed the voter will get a confirmation message on his/her registered cell phone related to the vote he/she casted. The electronic ballot comprising the opinion list. The output of the fingerprint sensor which is placed beside each opinion is compared with the unique identification authority of India (UIDAI) database. The sensor data is pre-processed and fed to machine learning and testing models stored in the processing unit. Once the fingerprint is verified, the processing unit via internetworking sends a confirmation message to the user's on his/her registered mobile number regarding the vote he/she casted. The vote registering machine shall be kept at public offices of all villages and cities so that the voter can cast his/her vote from anywhere in the country.
Description of drawing
Figure 1 is an electronic vote registering machine that consists of the face recognition sensor module and electronic ballot.
Figure 2 shows a schematic of the electronic vote registering method.
Detailed Description
The embodiment disclosed in Figure 1 and Figure 2 is intended to register the electronic vote of a voter. The electronic vote registering machine 100 shown in figure 1 is an electronic device used to register the electronic vote of a user. A card reader 104 first reads/scans the voter/aadhar card. After the verification of Identity card the ballot sheet of its respective constituency is displayed on the touch sensitive display screen 106. Then the user has to authenticate his/her identity through fingerprint sensor 105 by giving his/her fingerprint impression which will be verified with the UIDAI Database. A camera 103 connected to the device 100 captures the face of the user and after the user’s face recognition electronic ballot will be enabled. The machine 100 is powered through power cable 107. An electronic ballot sheet related to the respective constituency appears on touch sensitive display unit 106 which consists of a list of opinions for vote. USB port 102 is provided as an option to communicate with the data stored in the machine 100. The machine is connected to internet via LAN port 101.
The block schematic shown in Figure 2 comprises Card reader and fingerprint sensor unit 203 and face recognition unit 204, I/O control unit 205, memory unit 207 and processing unit 206. The sensor units 203 and 204 are coupled to processing unit 206 housed inside machine 100. A card picture captured by 104 and finger print sensed by 105 are fed to card and fingerprint sensor unit 203 shown in Figure 2 embodied inside the machine 100. The face recognition unit 204 converts the image captured by camera 103 into digital data and is compared with the UIDAI database 201. The UIDAI database 201 is accessed through LAN port 101 and fed to processing unit 206. The processing unit 206 access the application stored in memory unit 207 which identifies the AADHAR number of the user first then performs the comparison between scanned finger print image and UIDAI database finger print image. Once the image is authenticated the electronic ballot sheet to respective constituency appears on the touch sensitive display unit 106. The camera 103 captures the face image of user which is fed to face recognition unit 204 which access the application stored in memory unit 207 and performs the comparison between scanned face image and UIDAI database face image to enable the touch sensitive display to accept the users vote. The user has to register his/her vote by touching the name of the candidate appeared on the touch sensitive display 106 which consists of the list of opinions for which the user has to cast his/her vote. The fingerprint scanner unit 105 captures the fingerprint of the user and is accessed by unit 203. The fingerprint sensor unit 203 and face recognition unit 204 converts the image into digital format and stores it in the memory for processing. The data stored in memory 207 is processed by processing unit 206 to compare with the UIDAI database 201 via LAN port through internetworking. The processed digital data is fed to machine learning and testing models in the memory unit 207 and executed through processing unit 206. Machine learning focuses on accessing the database data on specific category of users compares the accessed data with sensor data and once the scanned data is matched then the vote of the user will be registered. The registered vote will be stored in the memory unit 207 and also the confirmation message will be sent to the users registered mobile through IOT. This ensures the user about his/her opinion of vote that he/she casted. The vote registering machine 100 shall be kept at public offices of all villages and cities so that the voter can cast his/her vote from anywhere in the country. , C , Claims:I/We Claim:
1. An electronic voting method comprising:
an electronic vote registering machine;
a card reader/scanner, finger print sensor and face recognition unit identifying:
a person registering to vote enables the electronic vote registering machine.
2. An electronic vote registering machine claimed in 1 further comprising:
a display module wherein:
a card reader/scanner an fingerprint sensor mounted on the upper surface of the separate attachment module verifies UIDAI database:
the face recognition modules output data is again verified with UIDAI database to enable
a control unit coupled to processor with the help of machine learning tools and internetworking communicates:
to users for confirmation of the vote the user has casted.
| # | Name | Date |
|---|---|---|
| 1 | 202341043570-STATEMENT OF UNDERTAKING (FORM 3) [29-06-2023(online)].pdf | 2023-06-29 |
| 2 | 202341043570-REQUEST FOR EXAMINATION (FORM-18) [29-06-2023(online)].pdf | 2023-06-29 |
| 3 | 202341043570-REQUEST FOR EARLY PUBLICATION(FORM-9) [29-06-2023(online)].pdf | 2023-06-29 |
| 4 | 202341043570-FORM-9 [29-06-2023(online)].pdf | 2023-06-29 |
| 5 | 202341043570-FORM FOR SMALL ENTITY(FORM-28) [29-06-2023(online)].pdf | 2023-06-29 |
| 6 | 202341043570-FORM 18 [29-06-2023(online)].pdf | 2023-06-29 |
| 7 | 202341043570-FORM 1 [29-06-2023(online)].pdf | 2023-06-29 |
| 8 | 202341043570-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [29-06-2023(online)].pdf | 2023-06-29 |
| 9 | 202341043570-EVIDENCE FOR REGISTRATION UNDER SSI [29-06-2023(online)].pdf | 2023-06-29 |
| 10 | 202341043570-EDUCATIONAL INSTITUTION(S) [29-06-2023(online)].pdf | 2023-06-29 |
| 11 | 202341043570-DRAWINGS [29-06-2023(online)].pdf | 2023-06-29 |
| 12 | 202341043570-DECLARATION OF INVENTORSHIP (FORM 5) [29-06-2023(online)].pdf | 2023-06-29 |
| 13 | 202341043570-COMPLETE SPECIFICATION [29-06-2023(online)].pdf | 2023-06-29 |
| 14 | 202341043570-FER.pdf | 2025-07-18 |
| 15 | 202341043570-RELEVANT DOCUMENTS [29-08-2025(online)].pdf | 2025-08-29 |
| 16 | 202341043570-Proof of Right [29-08-2025(online)].pdf | 2025-08-29 |
| 17 | 202341043570-FORM-26 [29-08-2025(online)].pdf | 2025-08-29 |
| 18 | 202341043570-FORM 13 [29-08-2025(online)].pdf | 2025-08-29 |
| 19 | 202341043570-FER_SER_REPLY [29-08-2025(online)].pdf | 2025-08-29 |
| 20 | 202341043570-DRAWING [29-08-2025(online)].pdf | 2025-08-29 |
| 21 | 202341043570-CORRESPONDENCE [29-08-2025(online)].pdf | 2025-08-29 |
| 22 | 202341043570-CLAIMS [29-08-2025(online)].pdf | 2025-08-29 |
| 23 | 202341043570-ABSTRACT [29-08-2025(online)].pdf | 2025-08-29 |
| 1 | 202341043570_SearchStrategyNew_E_ukfyugygjhrE_26-03-2025.pdf |