Fingerprint Scanner TTL GT511C3 – 3.3V to 6V

Fingerprint scanners are awesome. Why use a key when you’ve got one right at the tip of your finger? Unfortunately, they’re frequently unreliable or difficult to implement. Well not anymore! We’ve found this great fingerprint module from ADH-Tech that communicates over TTL Serial so you’ll be able to easily embed it into your next project.

The module itself does all the heavy lifting at the back of reading and identifying the fingerprints with an on-board optical sensor and 32-bit CPU. All you wish to have to do is send it simple commands. To get started, just register each fingerprint that you need to store by sending the corresponding command and pressing your finger against the reader three times. The fingerprint scanner can store up to 20 different fingerprints and the database of prints can even be downloaded from the unit and distributed to other modules. As well as the fingerprint “template,” the analyzed version of the print, you’ll be able to also retrieve the image of a fingerprint and even pull raw images from the optical sensor!

This is the up to date version of the GT-511 which has an increased memory capacity. The module can store up to 200 different fingerprints (that’s 10x more than the old version!) and is now capable of 360° recognition.

The module is small and easy to mount the usage of two mounting tabs on the side of the sensor. The on-board JST-SH connector has four signals: Vcc, GND, Tx, Rx. A compatible JST-SH pigtail can also be found in the related items below. Demo software for PC is available in the documents below, simply connect the module to your computer the usage of an FTDI Breakout and start the software to read fingerprints!

Dimensions: 37 x 17 x 9.5 mm

4-wire cable included
High-Speed, High-Accuracy Fingerprint Identification the usage of the SmackFinger 3.0 Algorithm
Download Fingerprint Images from the Device
Read and Write Fingerprint Templates and Databases
Simple UART protocol (Default 9600 baud)
Capable of 1:1 Verification and 1:N Identification