CAMA-SM30 uart capacitive fingerprint scanner module

Product Description

Powered by world best, multi-award winning CAMA fingerprint algorithm, CAMA-SM30 OEM capacitive fingerprint reader offers powerful identification performance .

Product Features
# 3000 fingerprints capacity
# 360 degree identification
# Live scan function ( identify fake finger)
# Auto-learning function
# Fast identification speed
# Support 1:1: and 1:N verification
# FAR<0.001% FAR<0.1%
# FPC1011 sensor

Product Specifications

Product Size

CAMA-SM30 Master Board Size

FPC1011 Fingerprint Sensor Dimensiion

Technical Support
To support you electronic engineers to do developing works, CAMABIO will provide you following materials after you bought the product

1. User Manual of CAMA-SM30 ( Command Protocols Included)
2. DEMO Software For Testing Purpose
3. Sample Code For Microcontroller Developing

If you have any technical questions before you buy CAMA-SM30 OEM capacitive fingerprint reader, you can contact camasales02@camabio.com for support.


Where You Can Use It?
CAMA-SM30 OEM capacitive fingerprint reader can be widely used for products below
1. Fingerprint door lock system
2. Biometric access control system
3. Biometric time attendance system
4. Fingerprint car starter
5. Fingerprint safe box lock
6. Fingerprint car fleet management system
...

Founded in 2008, Shenzhen CAMA Biometrics Co.,Ltd. is  a professional manufacturer and technical provider of fingerprint &face recognition technology, is devoted to offering fingerprint sensor modules, biometric security system, face recognition solution, biometric door lock solution,etc

Shenzhen CAMA Biometrics mainly focuses on the commercial biometric security market. With world-class patented biometric algorithms and proficient R&D capability, CAMABIO's product expanded to international market in a very short time ad obtained high reputation from clients all over the world.

CAMABIO holds the concept of supplying super quality products, competitive price and satisfied services all the time.