Interfacing AS608 Optical Fingerprint Sensor Module with Arduino

Introduction

In the world of biometric technology, fingerprint recognition stands out as a reliable and widely used method of authentication. Interfacing AS608 Optical Fingerprint Sensor Module with Arduino, in combination with an Arduino UNO, offers an efficient and user-friendly solution for integrating fingerprint recognition into projects. This tutorial aims to explore the features and specifications of the AS608 module and provide a step-by-step guide on how to set it up with an Arduino UNO. By the end of this tutorial, you will have the knowledge and skills to implement secure and convenient fingerprint recognition in your own projects.

Hardware Required

You will require the following Hardware Components for Interfacing AS608 Optical Fingerprint Sensor Module with Arduino.

What is AS608 Optical Fingerprint Sensor?

The AS608 Optical Fingerprint Sensor Module is a compact and versatile biometric device that utilizes 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 AS608 Optical Fingerprint Sensor

1. Sensor resolution and image quality: The module features a high-resolution optical sensor, ensuring accurate and clear fingerprint capture.
2. Fingerprint recognition speed: The AS608 module offers rapid recognition speed, minimizing authentication time.
3. False acceptance rate (FAR) and false rejection rate (FRR): This module excels in reducing false acceptance and rejection rates, ensuring high-security standards.
4. Operating voltage and power consumption: The module operates at a low voltage and consumes minimal power, making it energy-efficient.
5. Communication interface and compatibility with Arduino UNO: The AS608 module supports a simple serial communication interface and is compatible with Arduino UNO.

Features of AS608 Optical Fingerprint Sensor

1. Accurate and reliable fingerprint recognition: The module 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 AS608 module 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 module, ensuring the privacy and confidentiality of user data.
5. Compact and lightweight design: The AS608 module’s compact size and lightweight construction facilitate easy integration into various projects.
6. Versatile applications: The module finds applications in access control systems, time and attendance management, and secure personal devices, among others.

Working of AS608 Optical Fingerprint Sensor

The AS608 Optical Fingerprint Sensor Module operates based on the principles of optical fingerprint recognition. It utilizes a high-resolution optical sensor to capture precise images of fingerprints, enabling accurate identification and verification.

When a finger is placed on the module’s sensing area, the optical sensor illuminates the finger’s surface with a light source. The reflected light is then captured by an array of sensors within the module. These sensors measure the intensity of the reflected light at different points, creating a digital image of the fingerprint.

The captured fingerprint image undergoes processing using advanced algorithms embedded in the module. These algorithms analyze the unique ridge patterns, minutiae points, and other distinctive features of the fingerprint. By comparing these features with the stored fingerprint templates, the module determines whether there is a match or not.

During the matching process, the module calculates a similarity score between the captured fingerprint and the stored templates. If the similarity score exceeds a predefined threshold, the module confirms the fingerprint’s authenticity and returns a positive match. Otherwise, it rejects the fingerprint as a non-match.

Circuit Diagram

The following circuit shows you the connection of the AS608 Optical 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>

SoftwareSerial mySerial(2, 3); // TX/RX

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:
      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:
      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 once the code is uploaded.

The device is waiting for you to enter an ID.

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>

volatile int finger_status = -1;

SoftwareSerial mySerial(2, 3); // TX/RX on fingerprint sensor

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
{
  finger_status = getFingerprintIDez();
  if (finger_status!=-1 and finger_status!=-2){
    Serial.print("Match");
  } else{
    if (finger_status==-2){
      for (int ii=0;ii<5;ii++){
        Serial.print("Not Match");
      }
    }
  }
  delay(50);            //don't ned to run this at full speed.
}

// returns -1 if failed, otherwise returns ID #
int getFingerprintIDez() {
  uint8_t p = finger.getImage();
  if (p!=2){
    Serial.println(p);
  }
  if (p != FINGERPRINT_OK)  return -1;
  
  p = finger.image2Tz();
  if (p!=2){
    Serial.println(p);
  }
  if (p != FINGERPRINT_OK)  return -1;

  p = finger.fingerFastSearch();
  if (p != FINGERPRINT_OK)  return -2;
  
  // found a match!
  Serial.print("Found ID #"); Serial.print(finger.fingerID); 
  Serial.print(" with confidence of "); Serial.println(finger.confidence);
  return finger.fingerID; 
}

Applications of the R308 Fingerprint Sensor

1. Access control systems: The module enables secure access to buildings, rooms, and restricted areas, replacing traditional key-based or card-based systems with fingerprint authentication.
2. Time and attendance management: It simplifies the tracking of employee attendance, streamlining timekeeping processes in organizations.
3. Personal device security: The module enhances the security of personal devices, such as smartphones and laptops, by replacing passwords with fingerprint recognition.
4. Biometric safes and lockers: It provides secure access to safes and lockers, offering an added layer of security by requiring fingerprint authentication.
5. E-commerce and payment systems: The module can be utilized in e-commerce and payment systems to authenticate users’ identities, enhancing transaction security and preventing unauthorized access.

Conclusion

The AS608 Optical Fingerprint Sensor Module, when combined with an Arduino UNO, provides an accessible and efficient solution for implementing fingerprint recognition in various 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.