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Optical Fingerprint Sensor (UART, 1000 Fingerprints)

$34.90
SKU: SEN0188
An Arduino-compatible fingerprint module that stores 1000 prints, supports various devices, and offers high sensitivity recognition for security applications.
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Introduction

DFRobot Arduino Compatible Fingerprint Module delivers compact biometric authentication for embedded electronics and smart access systems. Built around a high‑speed DSP processor, this UART fingerprint scanner performs rapid image acquisition, template generation, and matching without requiring a host computer. Native serial communication enables straightforward integration with Arduino boards and a wide range of microcontrollers. With onboard storage for up to 1000 fingerprints, this biometric identification module supports secure identity verification across robotics, IoT devices, and embedded security products where reliable and fast fingerprint recognition is required.


Standalone Biometric Processing

An integrated high‑speed DSP processor enables independent fingerprint acquisition, processing, comparison, and searching directly within the sensor module. No external PC software or host computer is required for biometric matching operations. This embedded fingerprint recognition unit performs enrollment, template generation, and verification internally, reducing development complexity and processor workload for the main controller while ensuring stable authentication performance in embedded security systems.


Large Fingerprint Storage Capacity

The biometric authentication board supports storage for up to 1000 fingerprint templates, making the hardware suitable for multi‑user identification systems. Built‑in matching algorithms support both 1:1 comparison mode and 1:N search mode for rapid identification within the onboard database. With an average search time under one second and configurable security levels, the fingerprint sensing module balances fast response with strong verification accuracy for access control and identity management projects.


Flexible UART Integration with Multiple MCUs

A TTL UART communication interface allows straightforward integration with numerous embedded platforms including MSP430, 51 series controllers, AVR, PIC, STM32, ARM processors, and FPGA‑based systems. Adjustable baud rates provide compatibility with various development environments, enabling this biometric interface module to serve as a universal fingerprint recognition component in custom electronics, industrial prototypes, and hardware authentication designs.


Reliable Recognition for Wet and Dry Fingers

Optimized image acquisition hardware and internal processing algorithms maintain strong sensitivity across different fingerprint conditions. The sensing area captures clear ridge patterns from both dry and slightly moist fingers, supporting stable enrollment and recognition performance. Low false acceptance and false rejection rates improve system reliability in real‑world installations such as security terminals, electronic locks, and identity verification devices.


Typical applications include biometric door locks, electronic attendance systems, secure storage boxes, motorcycle or vehicle ignition systems, and embedded authentication terminals. This UART fingerprint identification sensor replaces traditional password entry, IC cards, or mechanical switches, enabling compact and convenient biometric security solutions in IoT devices, robotics projects, and STEM Education demonstrations.

Features

  • UART (TTL level) fingerprint recognition module
  • Onboard DSP processor for independent biometric processing
  • Supports fingerprint enrollment, comparison (1:1), and search (1:N)
  • Stores up to 1000 fingerprint templates internally
  • Fast fingerprint image acquisition under 1 second
  • Adjustable security levels for authentication control
  • Compatible with Arduino and multiple MCU platforms
  • Reliable recognition for both wet and dry fingerprints
  • Suitable replacement for IC cards, passwords, or hardware switches

Applications

  • Biometric door lock systems
  • Fingerprint attendance or time‑tracking terminals
  • Secure storage boxes and lockers
  • Vehicle or motorcycle fingerprint ignition systems
  • Embedded access control devices
  • IoT authentication terminals
  • STEM Education biometric projects

Specification

  • Power supply: DC 3.8V-7.0V
  • Operating current: 65mA (Typical)
  • Interface: UART (TTL logical level)
  • Baud rate: (9600*N)bps, N=1~12(default N=6, 57600bps)
  • Image acquisition time: <1S
  • Storage capacity: 1000
  • FAR: <0.001%
  • FRR: <1.0%
  • Average searching time: <1s (1:500, average)
  • Matching Mode: comparison mode (1:1) and search mode (1:N)
  • Character file: 256 bytes
  • Template file: 512 bytes
  • Security level: 5(1,2,3,4,5(highest))
  • Working environment: Temp: -20°C - +60; RH: 40%-85%
  • Storage environment: Temp: -40°C - +85°C; RH: <85%
  • Touch area dimension: 14.5*19.4 mm (0.57*0.76")
  • Outline dimension: 54*20*20.5 mm (2.13*0.79*0.81")

Shipping List

  • Fingerprint sensor x1

Documents

Resource

AllProjectsBlogTutorialCourseMedia
Smart Arduino Digital Meter with HC-SR04 and TM1637

Projects Smart Arduino Digital Meter with HC-SR04 and TM1637

portrait
cstram
May 29, 2021
IoT | Telegram Fingerprint Door Lock and Surveillance Camera w/ Night Vision

Projects IoT | Telegram Fingerprint Door Lock and Surveillance Camera w/ Night Vision

portrait
Kutluhan Aktar
Nov 17, 2022

FAQ

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Review

KOUBELAN RICHARD.AKPAGNI Nov 08, 2025

Reliable and easy-to-use optical fingerprint sensor! I tested it with an ESP32 and it performed flawlessly. The UART interface is simple to integrate, and enrolling or verifying fingerprints is very fast. It can store up to 1000 templates, making it perfect for access-control or attendance systems. The sensor’s recognition accuracy is excellent, even with slightly wet or dusty fingers. Build quality is solid, and the examples provided by DFRobot make setup quick and straightforward. Highly recommended for any IoT or embedded security project.

Optical Fingerprint Sensor (UART, 1000 Fingerprints)
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