Fingerprint Scanner TTL GT511C3 – 3.3V to 6VFingerprint Scanner TTL GT511C3 – 3.3V to 6VFingerprint Scanner TTL GT511C3 – 3.3V to 6V

Fingerprint Scanner TTL GT511C3 – 3.3V to 6V


(as of 04/30/2017 at 04:02)

Product Description

Fingerprint scanners are remarkable. Why use a key when you have one right at the idea of your finger? Unfortunately, they’re usually undependable or difficult to execute. Well not anymore! We’ve found this terrific finger print module from ADH-Tech that communicates over TTL Serial so you can quickly embed it into your next project.

The module itself does all of the heavy lifting behind reading and determining the fingerprints with an on-board optical sensing unit and 32-bit CPU. All you have to do is send it simple commands. To get begun, just register each finger print that you desire to save by sending the corresponding command and pressing your finger against the reader three times. The fingerprint scanner can accumulate to 20 various finger prints and the database of prints can even be downloaded from the system and distributed to other modules. As well as the fingerprint “design template,” the evaluated version of the print, you can also recover the image of a finger print and even pull raw images from the optical sensing unit!

This is the upgraded variation of the GT-511 which has an increased memory capability. The module can save up to 200 various finger prints (that’s 10x more than the old variation!) and is now efficient in 360 ° recognition.

The module is small and easy to install using 2 mounting tabs on the side of the sensor. The on-board JST-SH port has 4 signals: Vcc, GND, Tx, Rx. A compatible JST-SH pigtail can be discovered in the associated items below. Demo software application for PC is readily available in the files below, just link the module to your computer system utilizing an FTDI Breakout and start the software application to read fingerprints!

Dimensions: 37 x 17 x 9.5 mm

4-wire cable included


  • High-Speed, High-Accuracy Fingerprint Identification using the SmackFinger 3.0 Algorithm
  • Download Finger print Images from the Gadget
  • Read and Write Fingerprint Templates and Databases
  • Simple UART protocol (Default 9600 baud)
  • Capable of 1:1 Verification and 1: N Identification

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