In this project, we will learn how to build an Internet of Things (IoT) based biometric fingerprint attendance system by utilizing NodeMCU ESP8266 12E, 0.96" OLED Display, and R305 Fingerprint Sensor. The project is called IoT Biometric Project. The fingerprint data from a number of different users will be gathered by an ESP8266 Wi-Fi Module, which will then transmit the data to a website via the internet. The enrolment of fingerprints is carried out on the server by making use of an R305 or R307 or any other compatible Fingerprint Sensor. Verification of fingerprints is carried out on the client by making use of the transmission of fingerprint templates over the network. The database and attendance records can be accessed through the website that is written in PHP. After logging into the website, you will have access to all of the attendance records of each user, which will include their personal information as well as the times they logged in and out. Additionally, the information can be downloaded and transferred to an Excel spreadsheet.

The traditional methods of authentication, such as RFID tags and authentication cards, both have a number of flaws; the biometric method of authentication is an immediate replacement for these traditional methods. Fingerprints, voices, and electrocardiogram (ECG) signals are all examples of biometrics that are completely unique to each individual and cannot be imitated. Real-time system implementations are made easier as a result of this. Biometric Attendance systems are systems that are frequently used in offices and schools to mark the presence of individuals. This project has a wide range of potential applications in settings such as schools and colleges as well as business organizations and offices where accurate and timely attendance marking is required. Therefore, the incorporation of the fingerprint sensor will result in an increased level of protection for the users of the system. Here, at Arduino Fingerprint Attendance System, you can follow the instructions for the basic level of the same project. GT511C3 is a fingerprint sensor that you can use in the event that you are looking for a better option that is also compact and lightweight. R305 Fingerprint Scanner Sensor Module

This is a finger print sensor module equipped with a TTL UART interface, allowing for direct connections to microcontroller UART or to a PC by way of a MAX232 or USB-Serial adapter. The information about the user's fingerprints can be saved in the module, and the user can choose whether to identify the person using a 1:1 or 1: N configuration for the module. Any microcontroller, including Arduino Boards, can be directly interfaced with the fingerprint module thanks to its plug-and-play design. This optical biometric fingerprint reader is packed with great features, and it can be

embedded into a wide variety of end products such as access control systems, attendance systems, safety deposit box locking systems, and car door locking systems.

1. A single chip that performs both image collection and algorithm processing, integrated together 2. The fingerprint reader is capable of secondary development and can be integrated into a wide range of final products 3. a low amount of power consumed, a low cost, a small size, and outstanding performance 4. Expert optical technology and precise manufacturing techniques for modules 5. Capturing images with a resolution of up to 500 dpi is possible when good image processing capabilities are present.

1. The optical type of fingerprint sensor is used. 2. The lifespan of the sensor is one hundred million times 3. Static indicators are rated at 15 kilovolts 4. In the rear-view mirror: a vivid green 5. The interface is a USB port 6. 1.1/UART(TTL logical level) (TTL logical level) 7. The baud rate for RS232 communications can range anywhere from 4800 to 115200. 8. Dimension: 553221.5mm 9. Image Capture Surface 15—18 (mm)

10. Time required for verification: 0.3 seconds 9. Time required for scanning: 0.5 seconds 11. The size of the character file is 256 bytes 12. The size of the template is 512 bytes 13. Capacity for storing things: 250 14. The highest possible security level is a 5 (1,2,3,4,5). 15. False Acceptance Rate (FAR):0.0001% 16. The false rejection rate, also known as the FRR, is 0.1%. 17. Resolution 500 DPI 18. Voltage:3.6-6.0 VDC 19. Working current: 90 mA on average, with a peak of 150 mA 20. Method of Compatibility: 1: N 21. Ambient Conditions of Operation Temperature: -20 to 45° centigrade 0.96″ I2C OLED Display This is a blue OLED display module with a 0.96-inch screen. SPI and IIC protocols can be used to create an interface between the display module and any microcontroller. This image has a resolution of 128 by 64 pixels. Display board, display, and a male header with 4 pins that has been pre- soldered to the board are all included in this package. Organic Light-Emitting Diode, or OLED for short, is a self-lighting technology that is made up of a multi-layered organic film that is very thin and is sandwiched between an anode and a cathode. OLED technology, on the other hand, does not require a backlight, in contrast to LCD. It is widely acknowledged that organic light-emitting diode (OLED) technology represents the pinnacle of innovation for the next generation of flat-panel

displays and possesses a high application potential for virtually every type of display.

NodeMCU - ESP8266 Fingerprint Sensor - R305/R307 Module OLED Display Connecting Wires Breadboard Circuit Diagram: IOT Based Biometric Fingerprint Attendance System The OLED Display and Fingerprint Sensor are connected to the NodeMCU ESP8266 12E Board in the manner that is depicted in the circuit diagram that was just presented. OLED Display's SDA and SCL I2C pins are connected to NodeMCU's D2 and D1 pins, respectively, so that the display can communicate over I2C. In a similar fashion, the fingerprint sensor is connected to the UART pins labeled D5 and D6. The color of the fingerprint sensor's Tx and Rx wires might be different. In my situation, the color is yellow and blue, with yellow representing treatment and blue

representing recovery. Therefore, you need to connect it by locating the appropriate color wires in order for NodeMCU to recognize the module. The 5V that is required by the R305 fingerprint sensor is drawn from the NodeMCU's Vin pins. In my experience, applying 3.3V to the sensor caused it to become inoperable. In a similar manner, connect the Vcc pin of the OLED to the 3.3V of the NodeMCU.

If you already have a domain name and a server, we can help you set up a website right here. If you don't want to spend money on website management, you can use the IP address of your computer as a server to save the data locally in localhost. This is an option if you don't want to spend money. First, get Xampp by downloading and installing it. After the download and installation are finished, make a copy of the folder. Transfer the Biometric attendance Folder to the C:xampphtdocs directory . Within your computer's C drive, this is the location of the website. Results The Adafruit logo will appear on the screen during the boot process of the NodeMCU once the code has been uploaded. After that, it will attempt to establish a connection to the wireless network. Connected will appear on the screen once it has successfully established a connection. Both the Serial Monitor and the OLED Display are capable of displaying this log for your perusal.

You may now initiate the registration process for the user by using the website. The following video provides an in-depth walkthrough of the entire registration process. You can complete the registration process by watching the video provided. The EEPROM of the Fingerprint Sensor stores the user's fingerprint after it has been captured twice and stored there. It is important to keep in mind that this R305/R307 module is only capable of storing 127 fingerprints at a time. Therefore, once the fingerprints of multiple users have been saved, you will be able to begin scanning in order to register attendance. In the event that the fingerprint does not match, it will present the user with an error message. Therefore, once the fingerprints of multiple users have been saved, you will be able to begin scanning in order to register attendance. In the event that the fingerprint does not match, it will present the user with an error message. When a user who is already registered scans his finger for the first time, a welcome message will appear on the screen.

After a registered user has scanned his finger for the second time, the system will show the user the "Good-Bye" message. At long last, you are able to view all of the information pertaining to the website's users in the format shown in the image.