PDA0A 208*288 Biometric Capacitive Module USB UART Fingerprint Scanner Sensor With 3000 Capacity for Windows Android

Capacitive Fingerprint Scanner Sensor Module:
·Communication interface: USB, UART
·1: N recognition (one to many)
·1: 1 verification
·508 DPI spatial resolution
·Fingerprint Scanner Sensor array of 288×208 pixels
·Fingerprints capacity locally: 3000
·Input working voltage: 5V
·Working current: 25MA
·Sleep current: 20uA
·Fingerprint Scanner Sensor detection area 10.8mm x 15.3mm
·360 ° fingerprint input and matching
·FAR:< 0.001 %(Security Level:3 ) ·FRR:< 0.1 %(Security Level:3 ) ·Fingerprint template data size: 498 bytes ·The anti scratch level of the sensor is>5H
·High speed fingerprint recognition algorithm engine
·Self study function
·Fingerprint feature data reading and writing function
·Obtain feature data of captured fingerprints and verify/identify downloaded captured features
·Fingerprint recognition download function and captured fingerprints
·Security level setting 1-5 levels
·Can set baud rate/device ID/device password
·Operating System: Windows or Android





The Fingerprint Scanner Sensor is a fast and stable capacitive fingerprint module specialized for secondary development, suits integration applications. By incorporating high performance Cortex core processor, high security commercial fingerprint algorithm, and advanced semiconductor fingerprint sensor, this module is designed as a intelligent integration module with functions including fingerprint enrolling, image processing, template generating and storing, fingerprint matching and searching, etc.
Easy to use by some simple commands, you don’t have to know any fingerprint technology, or the module inter structure/calculation
Commercial fingerprinting algorithm, stable performance, fast identification
Sensitive detection, just touch the collecting window lightly, without pressing
Allows to freely input/output fingerprint images, fingerprint feature file and other fingerprinting actions
Dual communication, UART or USB
Mainly Application for identity recognition in medical equipment, security equipment, banks, etc.
Application for identity recognition in medical equipment:
Technical datasheet:
Instruction User Manual:
Windows SDK:
Android SDK:
