All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
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All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification

SKU: WVSH0010

₹ 2,099.99 ₹ 2,499.99

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All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification₹ 2,099.99
Ask AI about this product
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UART Fingerprint Sensor (D)

Capacitive 360° Verification

Nail Plate-Sized, UART Commands Operation


 

Features

Based on a high performance Cortex processor, combined with high-security commercial fingerprinting algorithm, the UART Fingerprint Sensor (D) 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.

  • Easy to use by some simple commands, you don't have to know any fingerprint technology, or the module inter structure
  • Commercial fingerprinting algorithm, supports functions like fingerprint enrolling, fingerprint matching, fingerprint image acquisition, and fingerprint feature uploading, stable performance, fast identification
  • Capacitive sensitive detection, just touch the collecting window lightly for fast verification
  • Highly integrated hardware, processor and sensor in one small chip, suitable for small size applications
  • Narrow stainless steel rim, 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

PARAMETER VALUE
Sensor capacitive touch sensor
Resolution 508 DPI
Image pixels 160×160
Image greyscale 8
Sensor dimension R15.5 mm
Fingerprint capacity 150
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
ESD contact discharge 8KV / aerial discharge 15KV
Communication port 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)

 

Pinout Definition

 

Dimensions



Resources

Wiki: UART_Fingerprint_Sensor_(D)

 

Package Contains:

  1. UART Fingerprint Sensor (D) x1
  2. 6PIN squid wire x1
12
How can I connect and integrate this sensor with my microcontroller or single board computer?
The sensor uses a UART interface with an onboard UART connector and is designed to connect to platforms like STM32 and Raspberry Pi. You can enroll capture and match fingerprints by sending simple UART commands without needing to know the fingerprint algorithm.
What does 360 degree verification and the capacitive sensor mean for performance?
It uses capacitive touch sensing and supports 360 degree omni directional verification. It has a 160 by 160 pixel grayscale image with 508 DPI and a capacity for 150 fingerprints. It supports matching in under 500 ms for up to 100 candidates, with a false acceptance rate below zero point zero zero one percent and a false rejection rate below zero point one percent.
What are the electrical and environmental operating limits?
Operating voltage is 2.7 to 3.3 volts and current is less than 50 milliamps. Sleep current is less than 16 microamps. Operating temperature is minus 20 degrees Celsius to 70 degrees Celsius and humidity is 40 to 85 percent relative humidity with no condensation.
How do I enroll fingerprints and use UART commands in a project?
You enroll fingerprints, capture images, generate templates, and perform matching by sending UART commands. No deep fingerprint knowledge is required and the module is designed for easy integration in small size high precision applications.
What is included in the package and is it compatible with common boards?
The package includes the UART Fingerprint Sensor (D) and a 6PIN squid wire. It can be connected to STM32 and Raspberry Pi via the UART interface.
A
Admin
Welcome to the discussion thread for All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
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Biometric → Sensors → Waveshare | Official Page →

Category: View similar items (All-In-One)

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Description
Ask AI about this product
Open in ChatGPT Open in Claude Open in Gemini

UART Fingerprint Sensor (D)

Capacitive 360° Verification

Nail Plate-Sized, UART Commands Operation


 

Features

Based on a high performance Cortex processor, combined with high-security commercial fingerprinting algorithm, the UART Fingerprint Sensor (D) 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.

  • Easy to use by some simple commands, you don't have to know any fingerprint technology, or the module inter structure
  • Commercial fingerprinting algorithm, supports functions like fingerprint enrolling, fingerprint matching, fingerprint image acquisition, and fingerprint feature uploading, stable performance, fast identification
  • Capacitive sensitive detection, just touch the collecting window lightly for fast verification
  • Highly integrated hardware, processor and sensor in one small chip, suitable for small size applications
  • Narrow stainless steel rim, 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

PARAMETER VALUE
Sensor capacitive touch sensor
Resolution 508 DPI
Image pixels 160×160
Image greyscale 8
Sensor dimension R15.5 mm
Fingerprint capacity 150
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
ESD contact discharge 8KV / aerial discharge 15KV
Communication port 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)

 

Pinout Definition

 

Dimensions



Resources

Wiki: UART_Fingerprint_Sensor_(D)

 

Package Contains:

  1. UART Fingerprint Sensor (D) x1
  2. 6PIN squid wire x1
12
FAQ
How can I connect and integrate this sensor with my microcontroller or single board computer?
The sensor uses a UART interface with an onboard UART connector and is designed to connect to platforms like STM32 and Raspberry Pi. You can enroll capture and match fingerprints by sending simple UART commands without needing to know the fingerprint algorithm.
What does 360 degree verification and the capacitive sensor mean for performance?
It uses capacitive touch sensing and supports 360 degree omni directional verification. It has a 160 by 160 pixel grayscale image with 508 DPI and a capacity for 150 fingerprints. It supports matching in under 500 ms for up to 100 candidates, with a false acceptance rate below zero point zero zero one percent and a false rejection rate below zero point one percent.
What are the electrical and environmental operating limits?
Operating voltage is 2.7 to 3.3 volts and current is less than 50 milliamps. Sleep current is less than 16 microamps. Operating temperature is minus 20 degrees Celsius to 70 degrees Celsius and humidity is 40 to 85 percent relative humidity with no condensation.
How do I enroll fingerprints and use UART commands in a project?
You enroll fingerprints, capture images, generate templates, and perform matching by sending UART commands. No deep fingerprint knowledge is required and the module is designed for easy integration in small size high precision applications.
What is included in the package and is it compatible with common boards?
The package includes the UART Fingerprint Sensor (D) and a 6PIN squid wire. It can be connected to STM32 and Raspberry Pi via the UART interface.
Reviews
Forum
A
Admin
Welcome to the discussion thread for All-In-One Capacitive Fingerprint Sensor (D), Cortex Processor, 360° Verification
Feel free to ask questions, share tips or report issues.
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Discover More In:

Biometric → Sensors → Waveshare | Official Page →

Category: View similar items (All-In-One)

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