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
- Install the Adafruit Fingerprint Sensor Library
- Include the required libraries:
#include <Adafruit_Fingerprint.h> #include <SoftwareSerial.h>
- 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
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