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AS608 Optical Fingerprint Sensor Module

AS608 Optical Fingerprint Sensor Module

High-Precision Biometric Recognition for Arduino and Microcontroller Projects

Introduction

The AS608 is an advanced optical fingerprint sensor capable of storing up to 1,000 fingerprints with 0.001% false acceptance rate. Ideal for security systems, attendance trackers, and access control applications.

Key Features

👆 High Accuracy

500 DPI optical resolution

💾 Large Capacity

Stores up to 1,000 fingerprints

Fast Matching

<1 second recognition time

🔌 UART Interface

3.3V-5V TTL serial communication

Technical Specifications

Sensor Type Optical
Resolution 500 DPI
Fingerprint Capacity 1,000 templates
False Acceptance Rate 0.001%
Interface UART (TTL)
Operating Voltage 3.3V – 5V DC
Current Draw 120mA max during imaging
Dimensions 56mm × 20mm × 21mm

Pin Configuration

Pin Function Arduino Connection
1 (VCC) Power (3.3V-5V) 5V
2 (GND) Ground GND
3 (TX) Serial Transmit RX (D0)
4 (RX) Serial Receive TX (D1)
5 (Touch) Finger detection Any digital pin
Note: For Arduino Uno, use SoftwareSerial for additional serial ports

Wiring with Arduino

// Basic Connections:
// VCC   → 5V
// GND   → GND
// TX    → Arduino RX (D0)
// RX    → Arduino TX (D1)
// Touch → D2 (optional)

 

Library Setup

  1. Install the Adafruit Fingerprint Sensor Library
  2. Include the required libraries:
    #include <Adafruit_Fingerprint.h>
    #include <SoftwareSerial.h>
  3. Initialize the sensor:
SoftwareSerial mySerial(10, 11); // RX, TX
Adafruit_Fingerprint finger = Adafruit_Fingerprint(&mySerial);

void setup() {
  Serial.begin(9600);
  finger.begin(57600);
}

 

Basic Fingerprint Enrollment

void enrollFingerprint(int id) {
  int p = -1;
  Serial.print("Waiting for valid finger to enroll #"); 
  Serial.println(id);
  while (p != FINGERPRINT_OK) {
    p = finger.getImage();
    if (p == FINGERPRINT_OK) {
      Serial.println("Image taken");
    } else {
      Serial.println("Error");
    }
  }
  
  p = finger.image2Tz(1);
  if (p == FINGERPRINT_OK) {
    Serial.println("Image converted");
  } else {
    Serial.println("Error");
    return;
  }
  
  Serial.println("Remove finger");
  delay(2000);
  
  p = 0;
  while (p != FINGERPRINT_NOFINGER) {
    p = finger.getImage();
  }
  
  Serial.println("Place same finger again");
  p = -1;
  while (p != FINGERPRINT_OK) {
    p = finger.getImage();
  }
  
  p = finger.image2Tz(2);
  if (p == FINGERPRINT_OK) {
    Serial.println("Image converted");
  } else {
    Serial.println("Error");
    return;
  }
  
  p = finger.createModel();
  if (p == FINGERPRINT_OK) {
    Serial.println("Prints matched!");
  } else {
    Serial.println("Error");
    return;
  }
  
  p = finger.storeModel(id);
  if (p == FINGERPRINT_OK) {
    Serial.println("Stored!");
  } else {
    Serial.println("Error");
  }
}

 

Fingerprint Verification

int getFingerprintID() {
  int 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;
  
  Serial.print("Found ID #"); 
  Serial.print(finger.fingerID);
  Serial.print(" with confidence "); 
  Serial.println(finger.confidence);
  return finger.fingerID;
}

 

Troubleshooting

No Serial Communication

  • Verify TX/RX connections are crossed
  • Check baud rate settings (default 57600)
  • Ensure proper power supply

Poor Image Quality

  • Clean sensor surface with microfiber cloth
  • Ensure finger covers entire sensing area
  • Apply consistent finger pressure

False Rejections

  • Re-enroll fingerprints in different conditions
  • Adjust confidence threshold in code
  • Try different finger positions during enrollment