-40%
Round-shaped All-in-one UART Capacitive Fingerprint Sensor
$ 13.11
- Description
- Size Guide
Description
This auction is forUART Fingerprint Sensor (C)
Round-shaped All-in-one Capacitive Fingerprint Sensor, Small Form Factor, UART, Integrated Fingerprinting Algorithm
Overview
This is a highly integrated round-shaped all-in-one capacitive fingerprint sensor module, which is nearly as small as a nail plate. The module is controlled via UART commands, fairly easy to use. It's advantages includes 360° omni-directional verification, fast verification, high stability, and low power consumption, etc.
Based on a high performance Cortex processor, combined with high-security commercial fingerprinting algorithm, the UART Fingerprint Sensor (C) features functionalities like fingerprint enrolling, image acquisition, feature finding, template generating and storing, fingerprint matching, and so on. Without any knowledge about the complicate fingerprinting algorithm, all you need to do is just sending some UART commands, to quickly integrate it into fingerprint verification applications which require small size and high precision.
Features
Easy to use by some simple commands, you don't have to know any fingerprint technology, or the module inter structure
Commercial fingerprinting algorithm, stable performance, fast verification, supports fingerprint enrolling, fingerprint matching, collect fingerprint image, and upload fingerprint feature, etc.
Capacitive sensitive detection, just touch the collecting window lightly for fast verification
Hardware highly integrated, processor and sensor in one small chip, suit for small size applications
Narrow stainless steel rim, large touching area, supports 360° omni-directional verification
Embedded human sensor, the processor will enter sleep automatically, and wake up when touching, lower power consumption
Onboard UART connector, easy to connect with hardware platforms like STM32 and Raspberry Pi
Specifications
Sensor type: capacitive touching
Resolution: 508DPI
Image pixels: 192×192
Image grey scale: 8
Sensor size: R15.5mm
Fingerprint capacity: 500
Matching time: <500ms (1:N, and N≤100)
False acceptance rate: <0.001%
False rejection rate: <0.1%
Operating voltage: 2.7~3.3V
Operating current: <50mA
Sleep current: <16uA
Anti-electrostatic: contact discharge 8KV / aerial discharge 15KV
Interface: UART
Baudrate: 19200 bps
Operating environment:
Temperature: -20°C~70°C
Humidity: 40%RH~85%RH (no condensation)
Storage environment:
Temperature: -40°C~85°C
Humidity: <85%RH (no condensation)
Applications
Fingerprint lock
Fingerprint safe deposit box
Access control system
Clock in and out
Development Resources
Wiki :
www.waveshare.com/wiki/UART_Fingerprint_Sensor_(C)
Recommended Items
We recommend this USB to UART Module for easy testing: FT232 USB UART Board (micro)
Selection Guide
UART Fingerprint Reader
Capacitive Fingerprint Reader
UART Fingerprint Sensor (C)
Type
Optical fingerprinting module
Capacitive fingerprinting module
Pros
low cost, durable, excellent anti-electrostatic
small collecting area, high precision, good at detection and verification
Cons
large dimension, low precision, interfered by lighting
High environmental requirement (temperature, humidity, dust, alkaline air)
Features
Rectangle-shaped, separated structure
Round-shaped, all-in-one, small size, low power consumption
Fingerprint capacity
1000
500
Image pixels
248×296
192×256
192×192
Interface
UART
UART, USB
UART
False acceptance rate
<0.001%
0.0001%
<0.001%
False rejection rate
<0.1%
0.01%
<0.1%
Sensor life time
10 years
3-5 years (about 100,000 times on normal condition)
Use condition
More sensitive for wet fingers
More sensitive for dry fingers
Applicable products
Used frequently, like access control system
Used not often while requiring high precision, like fingerprinting lock
Generally, optical modules are used in low-end products, while capacitive module are suit for high-end products
Package Contains
UART Fingerprint Sensor (C) x1
6PIN squid wire x1
1
2
Terms & Conditions
Payment:
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· All items will be shipped within 48 hours after receiving your payment.
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