Round-shaped All-in-one UART Capacitive Fingerprint Sensor
| Brand | Waveshare |
| SKU: | 1687-TBA |
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 | |||
1 Review Hide Reviews Show Reviews
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Works amazingly well for its size
This reader is very good, and most of all very compact! The Raspberry pi sample code provided on the wiki page is well written and I was able to edit it for my specific needs in about 2 hours. accuracy is quite good, but because if the small surface of contact you have to be sure to put your finger in the same position as when you did the enrollment, it won't allow you to scan your finger on all edges unless you do a custom code to match multiple finger IDs to a single user ID in your software. can't beat it for the price!