Fingerprint Module Research Articles

Vehicle Theft Authentication System

This thesis presents a robust security system designed to tackle the escalating issue of vehicle theft and unlicensed driving. By integrating a suite of cutting-edge technologies including Arduino, driver's permit card (DL),radio-frequency ID scanner (RFID),biometric fingerprint sensor (FP), Face Recognition (FR), and Global System for Mobile Communication modem (GSM), the system aims to fortify vehicles against unauthorized access. At its core, Arduino serves as the central intelligence, capable of storing and processing authorized driver data such as facial recognition and fingerprint records. When a driver inserts their license into the RFID reader, the system cross-references the information with stored data. If the license is validated, the system proceeds to authenticate the driver's identity through facial recognition and fingerprint scanning. Successful verification enables the ignition system, granting access to the vehicle. However, any discrepancy triggers an immediate SMS alert via the GSM modem to the vehicle owner, while simultaneously disabling the ignition to thwart unauthorized use. Additionally, an alcohol detection module further enhances safety by preventing vehicle ignition if alcohol is detected in the driver's system. This comprehensive approach not only safeguards vehicles from theft but also promotes responsible driving practices, exemplified by timely license renewal reminders and the enforcement of alcohol-free driving. Key Words: Vehicle security system,Arduino integration,Driver's license card (DL), radio-frequency ID scanner (RFID),Fingerprint module (FP) Face Recognition (FR), GSM-enabled mobile communication device, Unauthorized access prevention,Facial recognition,Fingerprint scanning SMS alerts,Alcohol detection module,Responsible driving practices,License renewal reminders,Alcohol-free driving enforcement.

Smart Attendance System

Abstract: The combination of Electronics Engineering and Information Technology is played a significant roles in developing several aspects in academics such has in students attendance monitoring. Taking attendance manually often time consuming process which also increased mistakes and false in the attendance so overcome this situation we make this project Smart Attendance System. In this project, we will learn how to build IOT based Smart Attendance System using NodeMCU ESP8266 12E, OLED Display and Finger print module R608. we have also created database to register the student fingerprint in database. The system works in such a manner that when we put our finger on the sensor, which would scan their finger print and send the data to the NodeMCU.

Biometry based Exam Door Verification System with SMS Alert

In the dominion of educational institutions, the security and integrity of examinations are of paramount importance. Traditional methods of verifying student identities using photo ID cards and signatures have proven inadequate in the face of evolving challenges related to impersonation, cheating, and unauthorized access to examination halls. To address these concerns, this project introduces a novel Biometry-Based Exam Door Verification System with SMS Alert, employing STM32 microcontroller technology for advanced security and real-time notifications. The system leverages biometric data, specifically fingerprint recognition, to ensure swift and accurate student identity verification. By implementing the STM32 microcontroller as the system's core, it manages data processing, biometric authentication, and communication functions seamlessly. The inclusion of an SMS alert system enables instant notifications to exam administrators, facilitating immediate responses to student check-ins and potential security breaches. The project reflects a forward-thinking approach to examination security, embracing technological advancements to address contemporary challenges in educational institutions. It offers an innovative and scalable solution for institutions seeking to uphold the integrity of examinations while improving overall administrative efficiency. Key Words: Biometric-Based Exam Door Authentication System, STM32 microcontroller technology, advanced security, real-time notifications, biometric data, biometric fingerprint module, etc.

Solar and Dynamo Powered Ev Using Fingerprint Authentication

Nonrenewable energy sources are already interfering with the availability of electricity. Today, the primary emphasis is on the generation of electricity from renewable sources. This proposal proposes a feasible design solution in the shape of a user-friendly three-wheeler. A fingerprint-accessible electric vehicle. This electric vehicle uses solar power and a self-changing dynamo to charge its battery. The battery serves as the vehicle's power source. A microcontroller serves as the system's primary controller. It is connected to a fingerprint module, a relay, the car ignition, and an LCD. The Microcontroller reads the input from the fingerprint module and, if it is legitimate, grants access to the ignition system. The status will be displayed on the LCD. In addition, we're adding three more sensors: speed, temperature, and voltage. Lithium-ion batteries can be harmful if not used within the safety-operated area (SOA). To avoid this, we calculate the temperature of the lithium-ion battery when it exceeds 49.9?. It will make a sound through the buzzer. This can prevent damage to the battery and the person driving the vehicle. Voltage Sensor is designed to monitor battery charging and discharging time, which is displayed on the LCD. A speed sensor is used to determine the speed of the vehicle.

Women Safety Device with GPS Tracking and Alerts

Abstract: Women safety is a very important issue due to rising crimes against women these days. Most of thewomen in India have experienced some form ofviolence or harassment in public. There is a growth in crimes related to women harassment and themain reason that a woman is being a victim is lack of public security and inability of a woman to defend her. A new approach is given towards the security of women in the form of a device. This device consists of a system that ensures dual alerts in case a woman is harassed or she thinks she is in trouble. This system can be turned on bya woman in case she even thinks she would be in trouble. It is useful because once an incident occurs with a woman she may or may not get the chance to press the emergency button. Theobjective of the device is to provide women with a tool that can provide them security and ensure their safety in case of any mishap. The fingerprint module consists GSM/GPS module for alerting and location tracking all interfaced with a microcontroller to design a compact device which will be handy and easily portable.

Fingerprint-based biometric smart electronic voting machine using IoT and advanced interdisciplinary approaches

India is a Democratic country with a huge population where voting plays an important role. Every citizen has the right to choose their leaders. This is done by using electronic voting machines (EVMs) at polling booths. But even there may be some malfunctions during elections. Under these circumstances holding elections is a complex task for the Election Commission because there is rigging taking place. Electronic voting systems have come into the picture to prevent rigging up to the maximum extent. For this, we are using the R307 Fingerprint Module which scans the fingerprint and gives input to Arduino Uno. Our developed algorithm stores the particular fingerprint in the storage drive and makes sure that the fingerprint is unique from the previously stored data. Thus, when the same person comes to poll his vote during the elections, he needs to give his fingerprint before polling his vote if his fingerprint is already present in stored data. If both the data are matched. The person can be eligible to pole his vote else the buzzer will give us the alert sound. The advanced technology will improve the “Biometric Voting System” through the fingerprint enrolment process making the authentication easy and enhancing security.

Fingerprint Door Unlock System

Abstract: Human detection and recognisation field is very significant and has undergone rapid changes with time. An important and very reliable human identification method is fingerprint identification. Fingerprint of every person. is unique. So this helps in identifying a person or in improving security of a system. Finger print of a person is read by a special type of sensor. Finger print sensor can be interfaced with a microcontroller. Through keypad we can add new user and delete the existing user, also identify the user by selecting corresponding option through keypad. In this project we use a fingerprint sensor to read ones identity to automatically operate the door of the car. For this, we use a microcontroller to enable the door opening or closing if the matching between scanned data and the already existing data is correct. Comparison is done inside the fingerprint module itself and its output is given to microcontroller. Result is displayed in a LCD display whether the user is authorized or not.LCD also helps to make troubleshooting easier. Alarming option is provided to warn about an unauthorized usage.

The Electronic Lock of Fingerprint Identification

Biometrics is more and more widely used in the security system, with the current realistic needs as a starting point, a microcontroller-based fingerprint identification electronic lock design method is proposed to realize the transformation from the traditional security system door locks to the new fingerprint identification electronic locks. This design uses the matrix keyboard to enter the password and fingerprint to unlock the door in two ways: Through the fingerprint module to collect fingerprints; stm32 microcontroller as the main control module of the fingerprint identification electronic lock, the fingerprints collected by the AS608 fingerprint module and the fingerprints in the memory of the microcontroller will be compared, and the results will be displayed on the screen, the comparison is successful to open the lock, and vice versa does not open the lock. Through the 4x4 matrix keyboard to realize the password unlocking; stm32 microcontroller as the main control module of the fingerprint identification electronic lock, the password entered on the matrix keyboard and the password in the memory of the microcontroller will be compared, and the unlocking result will be displayed on the screen. This design has the advantages of small size, high cost-effectiveness and reliable safety factor. The overall test results of the system show that the fingerprint identification electronic lock functions normally, and the functional modules work stably, realizing the basic functions that the fingerprint identification electronic lock has, which can be used for door locks and other various devices that need security locks.

Fingerprint Based Exam Hall Authentication

Abstract: This biometric security system is more accurate than the conventional password-based method and is focused on the needs of humans. Despite being one of the earliest biometric procedures, verification is still the most popular because to its ease of use and consistent accuracy. It is necessary to install fingerprint detection equipment in every exam room, office, and classroom. To signify their attendance in class or during the exam, pupils would have to swipe their finger across the sensor. The database contains the student records so they may be verified. When a pupil swipes their finger across the scanner, an assessment is conducted for them; the gadget scans the fingerprint module's finger patterns and compares the information with the data

Biometric based Fingerprint Identification for Bank Locker Security System

tract: This paper presents the human detection and recognition field is very significant and has undergone rapid changes with time. An important and very reliable human identification method is fingerprint identification. Fingerprint of every person is unique. So, this helps in identifying a person or improving security of a system. Finger print of a person is read by a special type of sensor. Finger print sensor can be interfaced with a microcontroller. Through fingerprint we can add new user and delete the existing user. In this project we use a fingerprint sensor to read one’s identity to automatically operate the door of the locker. For this, we use a microcontroller to enable the door opening or closing if the matching between scanned data and the already existing data is correct. Comparison is done inside the fingerprint module itself and its output is given to microcontroller. Result is displayed in an LCD display whether the user is authorized or not. The aim of our project is to design finger print based bank locker security system, which uses candidate’s fingerprint to decide the authenticity of candidate.

Design of Women Safety Device with Fingerprint Sensor

bstract: The safety of women has always been a global concern, and despite various measures adopted, the number of cases of misconduct against women is steadily rising. To address this issue, a new approach in the form of a device has been proposed. The purpose of this gadget is to give women a tool to safeguard their security and safety in the incident of an accident. To ensure that no woman feels helpless in the face of such crime issues, defense mechanisms must be proposed in large-scale productions. The suggested gadget is an embedded system designed on an Arduino board and a NodeMCU module with GPS that delivers a warning sound will be heard in the event of danger and an emergency message is sent with the user's location. To safeguard women's safety, this technology follows the location and transmits a message to the police control room, family, and friends. Moreover, a fingerprint module built into the system makes sure that only authorized users are utilizing the equipment. The smartphone will deem it dangerous and automatically send an SMS to the appropriate authority if the user does not touch their fingertips on the module that stores fingerprints within a predetermined amount of time. In conclusion, the proposed device could be a valuable tool in ensuring the safety and security of women. With the integration of technology, this device could provide a sense of security to women and help prevent crimes against them.

Fingerprint and GSM Based Door Lock System

In this study, we used GSM and fingerprint technology to investigate the door locking and unlocking system. To keep your information, money, space and personal property from intruders. This paper provides fingerprint and GSM base door lock systems for SMS-based door lock control. ARDUINO microcontroller, GSM module, fingerprint module, keypad, display LCD, servo motor and buzzer are the components of this security system. The entire driver unit is under the control of an Arduino microcontroller. It serves as a means of communication. The GSM method for mobile alarm messages in case of failed password attempts. The password required for authentication is entered using a keypad module. If the password is entered incorrectly, an error message appears on the screen LCD. A message is sent to the registered user via the GSM module, and if there are people or security personnel nearby, the associated buzzer sounds to alert them.

506 Fingerprinting the Epileptogenic Zone in RAVE

INTRODUCTION: The treatment of drug-resistant epilepsy remains a significant challenge. Surgical resection of the epileptogenic zone (EZ) often offers the highest chance of seizure freedom. Grinenko et al. [Brain. 2018; 141(1):117–131] demonstrated that intracranial EEG (iEEG) data analysis can be used to identify a time-frequency pattern or “fingerprint” to help identify the EZ. Complex algorithmic techniques, lack of standardization, and inaccessibility pose a hurdle to surgical programs that may consider fingerprinting as a tool to aid resection. R Analysis and Visualization of Intracranial EEG (RAVE) is a powerful, free, open-source, NIH-funded software designed to analyze iEEG data through a web browser on an internet-connected device. Here we present an accessible implementation of a fingerprinting algorithm with RAVE. METHODS: Our fingerprint module consists of three steps, following closely the work of Grinenko et al. First, iEEG seizure data is pre-processed with Morlet wavelet transform and bipolar normalization. Second, each electrode's time-frequency map is run through an image processing algorithm to extract the EZ fingerprint biomarkers: (1) pre-ictal spikes, (2) multiband fast activity, and (3) low-frequency suppression. Each electrode is ranked by biomarker and combined “fingerprint” score based on work by Woolfe et al. [J Neurosci Methods. 2019; 325:108347]. Data is then displayed via time-frequency plot for each electrode and the fingerprint score is projected across the brain with a 3D brain map viewer, RESULTS: Our fingerprint module in RAVE significantly streamlines EZ isolation. Time-consuming calculations are built-in, allowing users with no coding, image processing, or statistical experience to explore and share EZ fingerprinting data. CONCLUSIONS: We incorporated an algorithm to detect the epileptogenic zone fingerprint into RAVE, allowing free distribution and use of this research algorithm to surgical epilepsy programs.

Security for Vehicle Ignition System by Finger Print Technology

In this paper a security for vehicle ignition system by fingerprint technology is implemented. Using this paper the access to a car can be controlled using finger prints. For this an embedded finger print module is used in which the finger prints of the owner and his other authorized users will be fed into the embedded module. This finger print module is further connected to a microcontroller that controls the connection to the ignition of the car. Hence the car can only be started using a proper finger print match. Else the vehicle will not be started and sends an SMS to owner. The project will also include GSM module connected to the controller. In case of some unauthorized person trying to access the car using a unauthorized finger print then the controller, using the GSM module can automatically send SMS to the actual owner of the vehicle. Furthermore, since the controller already has a GSM modem it can also be used for additional applications like alcohol detection, over speed driving. In all these cases, automatic SMS updates can be sent to the owner of the vehicle if someone else is driving the vehicle. If required the vehicle can also be stopped if any of these conditions are detected.

Secure bike start

This project is titled “Secure Bike Start” with Arduino. This project used to propose a system that describes the concept of controlling vehicle theft by using the method of fingerprint-based authentication and which alerts the user by providing the notification to the user. This proposes a system that identifies the authenticated person for the vehicle and starts up the vehicle when the person is approved by the FingerPrint Module. If any unauthorized access to the vehicle is to be applied then the system is fully locked and there is no way to move the vehicle from the place of parking. The capability to start-ups the vehicle is initiated by the Positive Charge from the Finger Print Module. Hence, the Ignition System control is based on authentication. The existing system provides security but there is no locking system. The proposed system describes the security of the vehicle as well as locking the whole Vehicle system by the way of an authentication basis.

Lab Attendance Using Fingerprint Sensor

Abstract: In today’s world regularity of student attendance is concerned in the administration of Educational Institutions. Overall academic performance is affected by the student’s attendance because poor attendance leads students in detention list. Student’s attendance is taken manually by using attendance sheet given by the faculty members in the classroom, which is a time-consuming event. Furthermore, it is very difficult to verify one by one student in a large classroom whether the authenticated students are responding or not. The proposed system describes a method for Students Attendance System which will integrate with the fingerprint technology. This paper proposes the system in that various fingerprints of students will be gated through the fingerprint module. The fingerprints will be mapped against the data set for authentication of student attendance. The student whose fingerprint matches the most with the data set is marked present for the particular lecture. As well as this paper demonstrates how fingerprint recognition can be used for an efficient attendance system to automatically record the presence of an enrolled individual within the respective venue. Also, it maintains a log file to keep records of the entry of every individual with respect to subjects and also generate a report of attendance. This paper also provides the design method of fingerprint-based student attendance with help of GSM. This system ignores the requirement for stationary materials and personnel for keeping of records. Keywords: fingerprint, attendance management, enrolment, authentication, Xampp/Wamp Server- Version 7.4.27 size 671bytes, HTML, CSS, JavaScript, PHP- Version:-7.3.21, MySQL- Version:- 8.0.13

SISTEM ABSENSI SISWA MENGGUNAKAN FINGERPRINT BERBASIS ARDUINO MEGA 2560

This study aims to design, create and test the attendance system of SMA Dharma Bhakti 4 Jambi City students using Arduino Mega 2560-based Fingerprint. This research was conducted at SMA Dharma Bhakti 4 Jambi City from January to April 2021.This research was conducted using the R and D (Research and Development) method which includes planning, designing, manufacturing and testing tools carried out by making a tool system with input in the form of a Fingerprint Module. Control system with Arduino Mega 2560. Output system in the form of LCD and SMS reports to parents of SMA Dharma Bhakti 4 students in Jambi City. The way this tool works is by identifying the fingerprint pattern of DB 4 High School students during registration and transfer using the Fingerprint Module. The Fingerprint module is activated by a fingerprint then identified. The fingerprint that is read will appear on the LCD and through serial communication with the Arduino, the fingerprint will automatically respond to send a message in the form of an SMS to the parents of students who have been registered in the Arduino module.The test results on the Module reached 100% successfully detecting fingerprints that can record attendance data for SMA Dharma Bhakti 4 Jambi City students at SD CARD and provide SMS reports to their respective parents.

IOT-based biometric attendance system for CRUTECH

Identification of students in higher institutions in Nigeria, coupled with the recent insecurity and impersonation in the country has exposed the need to find a way to identify each and every person in the institution and Cross River University of Technology (CRUTECH), Calabar, Nigeria, is not an exception. The current method of identifying students with an identification card is vulnerable to abuse. To curtail this menace, this research proposes an IOT-based attendance system using ESP32 microcontroller, 0.96” OLED display and R305 fingerprint module. During operation, the system collects the fingerprint data from multiple users through the microcontroller based on ESP32 Wi-Fi enabled module and sends it over the internet to a website. Enrollment of fingerprints is done on the server using the interfaced fingerprint sensor module. Verification of user’s fingerprint is done on the webserver while fingerprint templates are transmitted over Wi-Fi. The website user interface (UI) used in this project is developed using PHP, CSS and JavaScript. It has a database and records of attendance. By logging into the website, attendance records of each user, including personal details as well as incoming and outgoing time can be collected. This data can be downloaded and exported to an excel sheet for evaluation.

Design of Password Lock Based on Fingerprint Recognition

In recent years, with the rapid development of science and technology, fingerprint identification has been applied to many fields and achieved good results. Fingerprint identification has high security. The progress of all kinds of science and technology has gradually reduced its production cost. This also promotes the rapid development of fingerprint identification.Therefore, in this design, a fingerprint identification electronic password lock system is designed with a single chip microcomputer as the core. The single chip microcomputer is used for fingerprint identification and password identification, and the LCD screen is used to display the corresponding interface and data. The sampling relay module simulates unlocking, LED lights and buzzers. Perform button prompts and alarm processing. The overall volume of the system designed in this design is small and has a high cost performance. This design is based on 51 single chip microcomputer as the basis to design a fingerprint identification electronic code lock, combined with the design requirements, the STC89C54RD+ single chip microcomputer is selected, and the fingerprint module is ZFM-40, which has rich functions and can access fingerprints. It communicates with the fingerprint module ZFM-40 through the UART function of STC89C54RD+, and the specific exchanged content is realized in the form of code. The liquid crystal equipment selected is HS12864-15C, which has a high degree of integration and is suitable for ordinary family use. Through the 3-wire serial data interface and the microcontroller for data transmission, the corresponding interface and data are displayed on the HS12864-15C, such as: main menu, administrator interface, unlocking and error information, etc., which is convenient for users to view and use. In the design, the relay is used to simulate the lock, and the high and low level output of one pin of the single-chip microcomputer controls the closing of the relay public end and the normally open and normally closed ports, so as to control the power on and off of the strong electric device to achieve the purpose of unlocking. The test results meet expectations, the functions envisaged in the early stage are basically realized, and the design has the characteristics of low cost.

Simulation and Construction of Fingerprint Vehicle Starter System Using Microcontroller

The rising number of vehicle thefts is becoming an issue particularly in Nigeria where the security system is porous. Vehicle security system has become very important and vital in providing personal security for our cars. In this study, simulation and construction of a fingerprint vehicle starter system was carried out using Arduino Uno ATmega328 microcontroller. The circuit was simulated using Proteus ver8.0 via Arduino compiler programming language using embedded C language. The stages of the circuit consisting of regulated power supply, fingerprint module, microcontroller, LCD, motor output driver, and buzzer unit. The hardware prototype of the circuit was constructed on a PCB board and performance evaluated test was carried out with 150 trials in 5 stages, with 4 authorized users and 1 unauthorized user. The specificity, sensitivity and accuracy of the device was calculated. Results shows that, the sensitivity, specificity and accuracy were 96%, 97% and 97%. This implies that finger print vehicle detector will correctly accept and give access to 96% authorized users, correctly deny 97% unauthorized users, but will fail to accept 4% authorized users, and give access to 3% unauthorized users. Also, vehicle starting using the constructed device is only successful for authenticated users and we are 97% sure. Evaluation carried out under the measured performance metrics were able to be compared and analyze distribution scores of both authorized and unauthorized users with satisfactory result. The device can be recommended for vehicle security and other similar operations.