R301T Fingerprint Sensor | Arduino Tutorial

Introduction

In the realm of biometric technology, R301T Fingerprint Sensor | Arduino Tutorial, fingerprint recognition has become a widely adopted and secure method of authentication. The R301T Fingerprint Sensor, in combination with an Arduino UNO, offers a reliable and user-friendly solution for integrating fingerprint recognition into various projects. This tutorial aims to explore the features and specifications of the R301T sensor and provide a step-by-step guide on setting it up with an Arduino UNO. By the end of this tutorial, you will have the knowledge and tools to implement secure and efficient fingerprint recognition in your own projects.

Hardware Required

You will require the following Hardware Components for interfacing R301T Fingerprint Sensor | Arduino Tutorial.

What is R301T Fingerprint Sensor?

The R301T Fingerprint Sensor is a compact and versatile biometric device that utilizes advanced optical technology to capture and recognize fingerprints. Equipped with a high-resolution optical sensor, this module captures precise images of fingerprints, enabling accurate identification and verification. It incorporates advanced algorithms for fingerprint processing, making it a robust and efficient solution for various applications.

Pinout

Pin Configuration

Specifications of R301T Fingerprint Sensor

1. Sensor resolution and image quality: The R301T sensor boasts a high-resolution optical sensor, ensuring clear and accurate fingerprint capture.
2. Fingerprint recognition speed: The sensor offers rapid recognition speed, minimizing authentication time.
3. False acceptance rate (FAR) and false rejection rate (FRR): The R301T excels in reducing false acceptance and rejection rates, ensuring high-security standards.
4. Operating voltage and power consumption: It operates at a low voltage and consumes minimal power, making it energy-efficient.
5. Communication interface and compatibility with Arduino UNO: The R301T sensor supports a simple serial communication interface and is compatible with Arduino UNO.

Features of R301T Fingerprint Sensor

1. Accurate and reliable fingerprint recognition: The sensor ensures precise and dependable fingerprint authentication, enhancing security.
2. Fast and efficient fingerprint capture and matching process: It quickly captures and matches fingerprints against stored templates, providing seamless authentication.
3. Easy integration with Arduino UNO: The R301T sensor provides libraries and example codes, simplifying the integration process with Arduino UNO.
4. Secure storage of fingerprint templates: Fingerprint templates are securely stored within the sensor, ensuring the privacy and confidentiality of user data.
5. Compact and lightweight design: The R301T sensor’s compact size and lightweight construction facilitate easy integration into various projects.
6. Versatile applications: The sensor finds applications in access control systems, time and attendance management, and secure personal devices, among others.

Working of R301T Fingerprint Sensor

The R301T Fingerprint Sensor operates on the principle of optical fingerprint recognition. When a finger is placed on the sensor’s surface, it uses advanced optical technology to capture high-resolution images of the fingerprint’s unique patterns and ridges. The captured fingerprint data is processed by the sensor’s embedded algorithms, which analyze the minutiae points and other distinctive features. The sensor then compares these features with the stored fingerprint templates to determine if there is a match or not. The R301T communicates with the Arduino UNO through a serial interface, enabling seamless integration and providing a reliable and efficient solution for fingerprint recognition.

Circuit Diagram

The following circuit shows you the connection of the R301T Fingerprint Sensor | Arduino Tutorial Please make the connection carefully

Circuit Connections

Installing Arduino IDE Software

First, you will require to Download the updated version of Arduino IDE Software and Install it on your PC or laptop. if you Learn How to install the Arduino step-by-step guide then click on how to install Arduino Button given Blow

Installing Libraries

Now when you are Ready to upload the code, to the Arduino Board you will need first to add the Following Libraries in Arduino, If you Learn How to add the library in the Arduino step-by-step guide click on how to install the library Button given Blow

• Adafruit Fingerprint Library

Code

Upload the following code to your Arduino.

//For more Projects: www.arduinocircuit.com

#include <Adafruit_Fingerprint.h>

// On Leonardo/Micro or others with hardware serial, use those! #0 is green wire, #1 is white
// uncomment this line:
// #define mySerial Serial1

// For UNO and others without hardware serial, we must use software serial...
// pin #2 is IN from sensor (GREEN wire)
// pin #3 is OUT from arduino  (WHITE wire)
// comment these two lines if using hardware serial
SoftwareSerial mySerial(2, 3);

Adafruit_Fingerprint finger = Adafruit_Fingerprint(&mySerial);

uint8_t id;

void setup()  
{
  Serial.begin(9600);
  while (!Serial);  // For Yun/Leo/Micro/Zero/...
  delay(100);
  Serial.println("\n\nAdafruit Fingerprint sensor enrollment");

  // set the data rate for the sensor serial port
  finger.begin(57600);
  
  if (finger.verifyPassword()) {
    Serial.println("Found fingerprint sensor!");
  } else {
    Serial.println("Did not find fingerprint sensor :(");
    while (1) { delay(1); }
  }
}

uint8_t readnumber(void) {
  uint8_t num = 0;
  
  while (num == 0) {
    while (! Serial.available());
    num = Serial.parseInt();
  }
  return num;
}

void loop()                     // run over and over again
{
  Serial.println("Ready to enroll a fingerprint!");
  Serial.println("Please type in the ID # (from 1 to 127) you want to save this finger as...");
  id = readnumber();
  if (id == 0) {// ID #0 not allowed, try again!
     return;
  }
  Serial.print("Enrolling ID #");
  Serial.println(id);
  
  while (!  getFingerprintEnroll() );
}

uint8_t getFingerprintEnroll() {

  int p = -1;
  Serial.print("Waiting for valid finger to enroll as #"); Serial.println(id);
  while (p != FINGERPRINT_OK) {
    p = finger.getImage();
    switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image taken");
      break;
    case FINGERPRINT_NOFINGER:
      Serial.println(".");
      break;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      break;
    case FINGERPRINT_IMAGEFAIL:
      Serial.println("Imaging error");
      break;
    default:
      Serial.println("Unknown error");
      break;
    }
  }

  // OK success!

  p = finger.image2Tz(1);
  switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image converted");
      break;
    case FINGERPRINT_IMAGEMESS:
      Serial.println("Image too messy");
      return p;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      return p;
    case FINGERPRINT_FEATUREFAIL:
      Serial.println("Could not find fingerprint features");
      return p;
    case FINGERPRINT_INVALIDIMAGE:
      Serial.println("Could not find fingerprint features");
      return p;
    default:
      Serial.println("Unknown error");
      return p;
  }
  
  Serial.println("Remove finger");
  delay(2000);
  p = 0;
  while (p != FINGERPRINT_NOFINGER) {
    p = finger.getImage();
  }
  Serial.print("ID "); Serial.println(id);
  p = -1;
  Serial.println("Place same finger again");
  while (p != FINGERPRINT_OK) {
    p = finger.getImage();
    switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image taken");
      break;
    case FINGERPRINT_NOFINGER:
      Serial.print(".");
      break;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      break;
    case FINGERPRINT_IMAGEFAIL:
      Serial.println("Imaging error");
      break;
    default:
      Serial.println("Unknown error");
      break;
    }
  }

  // OK success!

  p = finger.image2Tz(2);
  switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image converted");
      break;
    case FINGERPRINT_IMAGEMESS:
      Serial.println("Image too messy");
      return p;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      return p;
    case FINGERPRINT_FEATUREFAIL:
      Serial.println("Could not find fingerprint features");
      return p;
    case FINGERPRINT_INVALIDIMAGE:
      Serial.println("Could not find fingerprint features");
      return p;
    default:
      Serial.println("Unknown error");
      return p;
  }
  
  // OK converted!
  Serial.print("Creating model for #");  Serial.println(id);
  
  p = finger.createModel();
  if (p == FINGERPRINT_OK) {
    Serial.println("Prints matched!");
  } else if (p == FINGERPRINT_PACKETRECIEVEERR) {
    Serial.println("Communication error");
    return p;
  } else if (p == FINGERPRINT_ENROLLMISMATCH) {
    Serial.println("Fingerprints did not match");
    return p;
  } else {
    Serial.println("Unknown error");
    return p;
  }   
  
  Serial.print("ID "); Serial.println(id);
  p = finger.storeModel(id);
  if (p == FINGERPRINT_OK) {
    Serial.println("Stored!");
  } else if (p == FINGERPRINT_PACKETRECIEVEERR) {
    Serial.println("Communication error");
    return p;
  } else if (p == FINGERPRINT_BADLOCATION) {
    Serial.println("Could not store in that location");
    return p;
  } else if (p == FINGERPRINT_FLASHERR) {
    Serial.println("Error writing to flash");
    return p;
  } else {
    Serial.println("Unknown error");
    return p;
  }   
}  

Open the serial monitor after uploading the code. The device is waiting for you to enter a number between 1 and 127 as the ID.

You can then place your finger on the module and register your fingerprint.

Code 2

After defining your fingerprint, upload the following code to Arduino. To Test and Verify the fingerprint

//For more Projects: www.arduinocircuit.com

#include <Adafruit_Fingerprint.h>

// On Leonardo/Micro or others with hardware serial, use those! #0 is green wire, #1 is white
// uncomment this line:
// #define mySerial Serial1

// For UNO and others without hardware serial, we must use software serial...
// pin #2 is IN from sensor (GREEN wire)
// pin #3 is OUT from arduino  (WHITE wire)
// comment these two lines if using hardware serial
SoftwareSerial mySerial(2, 3);

Adafruit_Fingerprint finger = Adafruit_Fingerprint(&mySerial);

void setup()  
{
  Serial.begin(9600);
  while (!Serial);  // For Yun/Leo/Micro/Zero/...
  delay(100);
  Serial.println("\n\nAdafruit finger detect test");

  // set the data rate for the sensor serial port
  finger.begin(57600);
  
  if (finger.verifyPassword()) {
    Serial.println("Found fingerprint sensor!");
  } else {
    Serial.println("Did not find fingerprint sensor :(");
    while (1) { delay(1); }
  }

  finger.getTemplateCount();
  Serial.print("Sensor contains "); Serial.print(finger.templateCount); Serial.println(" templates");
  Serial.println("Waiting for valid finger...");
}

void loop()                     // run over and over again
{
  getFingerprintIDez();
  delay(50);            //don't ned to run this at full speed.
}

uint8_t getFingerprintID() {
  uint8_t p = finger.getImage();
  switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image taken");
      break;
    case FINGERPRINT_NOFINGER:
      Serial.println("No finger detected");
      return p;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      return p;
    case FINGERPRINT_IMAGEFAIL:
      Serial.println("Imaging error");
      return p;
    default:
      Serial.println("Unknown error");
      return p;
  }

  // OK success!

  p = finger.image2Tz();
  switch (p) {
    case FINGERPRINT_OK:
      Serial.println("Image converted");
      break;
    case FINGERPRINT_IMAGEMESS:
      Serial.println("Image too messy");
      return p;
    case FINGERPRINT_PACKETRECIEVEERR:
      Serial.println("Communication error");
      return p;
    case FINGERPRINT_FEATUREFAIL:
      Serial.println("Could not find fingerprint features");
      return p;
    case FINGERPRINT_INVALIDIMAGE:
      Serial.println("Could not find fingerprint features");
      return p;
    default:
      Serial.println("Unknown error");
      return p;
  }
  
  // OK converted!
  p = finger.fingerFastSearch();
  if (p == FINGERPRINT_OK) {
    Serial.println("Found a print match!");
  } else if (p == FINGERPRINT_PACKETRECIEVEERR) {
    Serial.println("Communication error");
    return p;
  } else if (p == FINGERPRINT_NOTFOUND) {
    Serial.println("Did not find a match");
    return p;
  } else {
    Serial.println("Unknown error");
    return p;
  }   
  
  // found a match!
  Serial.print("Found ID #"); Serial.print(finger.fingerID); 
  Serial.print(" with confidence of "); Serial.println(finger.confidence); 

  return finger.fingerID;
}

// returns -1 if failed, otherwise returns ID #
int getFingerprintIDez() {
  uint8_t p = finger.getImage();
  if (p != FINGERPRINT_OK)  return -1;

  p = finger.image2Tz();
  if (p != FINGERPRINT_OK)  return -1;

  p = finger.fingerFastSearch();
  if (p != FINGERPRINT_OK)  return -1;
  
  // found a match!
  Serial.print("Found ID #"); Serial.print(finger.fingerID); 
  Serial.print(" with confidence of "); Serial.println(finger.confidence);
  return finger.fingerID; 
}

Open the serial monitor after uploading the code. Each time you insert a defined fingerprint, the ID code of that fingerprint is displayed.

Applications of R301T Fingerprint Sensor

1. Access control systems: The sensor enhances security by allowing authorized access to buildings and restricted areas based on fingerprint authentication.
2. Time and attendance management: It simplifies employee attendance tracking, improving timekeeping accuracy and efficiency.
3. Personal device security: The sensor offers a secure method of unlocking smartphones, laptops, and other personal devices using fingerprints.
4. Biometric safes and lockers: It provides a secure way to access safes and lockers, ensuring only authorized individuals can open them.
5. E-commerce and payment systems: The sensor can be integrated into e-commerce platforms and payment systems to enhance security and prevent unauthorized access to accounts.

Conclusion

The R301T Fingerprint Sensor, in tandem with an Arduino UNO, presents a practical and efficient solution for implementing fingerprint recognition in diverse projects. Its accuracy, speed, and user-friendly features make it an ideal choice for applications such as access control, attendance management, and personal device security.