DFRobot Gravity Capacitive Fingerprint Sensor

SKU: 1073426
In Stock

2,549.00

  1. Operating Voltage: 3.3V-5V
  2. Operating Current: <60mA
  3. Communication: I2C
  4. Storage Capacity: 80 fingerprints
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Description

This is a capacitive fingerprint sensor with fingerprint collecting, processing, storing, and comparison integrated all-in-one. Taking ID809 high-performance processor and semiconductor fingerprint sensor as the core, the sensor is equipped with built-in IDfinger6.0 fingerprint algorithms that enable it to complete all the fingerprint recognition independently. When working with our Arduino Library, the module is able to realize functions like fingerprint registration, fingerprint deletion, etc. Also, we offer upper computer software to help users conveniently operate this sensor.

This fingerprint sensor comes with round breathing LEDs and has a simple structure, small size, and delicate appearance. The sensor offers fast recognition speed and high security.

Compared with SEN0348 Capacitive Fingerprint Sensor/Scanner, this module adopts Gravity interfaces that make it easier to connect. In addition, it is 3.3V and 5V compliant and supports I2C communication, which is very suitable for working with controllers like UNO, micro: bit, and so on.

Applications:
  • Fingerprint door-lock
  • Drawer Lock
  • Identity Recognition
  • Authorization

Features:

  1. 360-degree fingerprint entry and matching
  2. Self-learning function
  3. CNC metal ring, plus aperture

Useful Links:

Package Includes:

1 x Gravity: Capacitive Fingerprint Scanner/Sensor

1 x Adapter

1 x SH1.0 6P Wire

1 x Gravity-4P I2C/UART Sensor Cable

Additional information

Operating Voltage(V)

3.3 to 5

Operating Current (A)

<60mA

Interface Type

I2C

Storage Capacity

80 fingerprints

Verification Time

300~400ms

Pixel Resolution

508dpi

Number of Pixels

160×160

Fingerprint Detection Area(mm)

8×8

Working Temperature Range (°C)

-40 to 60

Body Diameter (mm)

21

Height (mm)

5

Quick Comparison

SettingsDFRobot Gravity Capacitive Fingerprint Sensor removeVISHAY VCNL4020C-GS08 BIOSENSOR, I2C, -25 TO 85 DEG C, SMD removeDFRobot Gravity: MAX30102 Heart Rate and Oximeter Sensor removeMAX30102 Heart Rate and Pulse Oximeter Sensor Module (Black) removeDFRobot Gravity Gesture & Touch Sensor removeSeeedStudio Grove EMG Detector remove
NameDFRobot Gravity Capacitive Fingerprint Sensor removeVISHAY VCNL4020C-GS08 BIOSENSOR, I2C, -25 TO 85 DEG C, SMD removeDFRobot Gravity: MAX30102 Heart Rate and Oximeter Sensor removeMAX30102 Heart Rate and Pulse Oximeter Sensor Module (Black) removeDFRobot Gravity Gesture & Touch Sensor removeSeeedStudio Grove EMG Detector remove
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Description
  1. Operating Voltage: 3.3V-5V
  2. Operating Current: <60mA
  3. Communication: I2C
  4. Storage Capacity: 80 fingerprints
  1. Product: VCNL4020C-GS08 BIOSENSOR
  2. Operating Voltage Range (V): 2.5 to 3.6
  3. I2C Bus Voltage Range (V): 1.7 to 5
  4. LED Pulse Current (1) (mA): 10 to 200
  5. Ambient Light Range (lx): 0.25 to 16 383
  1. Microcontroller with algorithm integrated
  2. Data can be read directly through the host computer
  1. LED peak wavelength: 660nm/880nm
  2. LED power supply voltage: 3.3~5V
  3. Detection signal type: light reflection signal (PPG)
  4. Output signal interface: I2C interface
  1. Brand: DFRobot
  2. Product: Gravity Gesture & Touch Sensor
  3. Operating Voltage: 3.3V~5V
  4. Operating Current: 56.3mA
  5. Current in Sleep Mode: 40uA
  6. Communication: UART
  1. Grove Compatible
  2. 3.5mm Connector
  3. Power supply voltage: 3.3V-5V
  4. 1000mm Cable Leads
Content

This is a capacitive fingerprint sensor with fingerprint collecting, processing, storing, and comparison integrated all-in-one. Taking ID809 high-performance processor and semiconductor fingerprint sensor as the core, the sensor is equipped with built-in IDfinger6.0 fingerprint algorithms that enable it to complete all the fingerprint recognition independently. When working with our Arduino Library, the module is able to realize functions like fingerprint registration, fingerprint deletion, etc. Also, we offer upper computer software to help users conveniently operate this sensor.

This fingerprint sensor comes with round breathing LEDs and has a simple structure, small size, and delicate appearance. The sensor offers fast recognition speed and high security.

Compared with SEN0348 Capacitive Fingerprint Sensor/Scanner, this module adopts Gravity interfaces that make it easier to connect. In addition, it is 3.3V and 5V compliant and supports I2C communication, which is very suitable for working with controllers like UNO, micro: bit, and so on.

Applications:
  • Fingerprint door-lock
  • Drawer Lock
  • Identity Recognition
  • Authorization

Features:

  1. 360-degree fingerprint entry and matching
  2. Self-learning function
  3. CNC metal ring, plus aperture

Useful Links:

Package Includes:

1 x Gravity: Capacitive Fingerprint Scanner/Sensor

1 x Adapter

1 x SH1.0 6P Wire

1 x Gravity-4P I2C/UART Sensor Cable

The VCNL4020C is a fully integrated biosensor and ambient light sensor. Fully integrated means that the infrared emitter is included in the package. It has a 16-bit of resolution. It includes a signal processing IC and features a standard I2C communication interface. It features an interrupt function. Built-in infrared emitter and broader sensitivity. photodiode allows to also work with green and red LEDs 16-bit effective resolution ensures excellent cross talk immunity.  Programmable LED drive current from 10 mA to 200 mA in
10 mA steps Excellent ambient light suppression through signal modulation

Applications

  1. Wearables
  2. Health monitoring
  3. Pulse oximetry

Features:

  1. Package type: surface-mount
  2.  Package form: SMD
  3. Dimensions (L x W x H in mm): 4.90 x 2.40 x 0.83
  4. Communication via I2C interface
  5. Interrupt function

Package Includes:

1 x VISHAY VCNL 4020C-GS08 BIOSENSOR

DFRobot Gravity: MAX30102 heart rate and blood oxygen sensor module integrates the Maxim MAX30102 chip and an MCU with heart rate and blood oxygen algorithm.

The MAX30102 uses PPG(PhotoPlethysmoGraphy) to measure data, which will be converted into heart rate and oximetry values when processed by the MCU, then output through I2C or UART, making the sensor easy to use and greatly reducing resource occupation of the main controller. Meanwhile, the corresponding upper computer is provided to allow you to conveniently read data by a PC.

Note:

  • The pressure may change when the finger is directly pressed down the sensor, which will affect the data output. So please try to fix the sensor on your finger.
  • Wear the sensor on your finger and there is no difference in the direction of wearing.
  • This product is not a professional medical instrument and should not be used as an auxiliary accessory in diagnosis and treatment

Connect with DFRduino UNO R3

 

Connect with Raspberry Pi


FEATURES

  1. Microcontroller with algorithm integrated
  2. Data can be read directly through the host computer

APPLICATIONS

  1. Heart rate blood oxygen project
  2. Home heart rate oximeter
  3. Long-term heart rate and blood oxygen monitoring project

SPECIFICATION

  1. Power Supply Voltage: 3.3V/5V
  2. Working Current: <15mA
  3. Communication Method: I2C/UART
  4. I2C Address: 0x57
  5. Serial Port Baud Rate: 9600
  6. Operating Temperature Range: -40℃~85℃
  7. Product Size: 25.5×32mm/0.98×1.26inch

Package Includes:

1 x DFRobot Gravity: MAX30102 Heart Rate and Oximeter Sensor

The MAX30102 is an integrated pulse oximeter and heart rate monitor biosensor module. It integrates a red LED and an infrared LED, photodetector, optical components, and low-noise electronic circuitry with ambient light suppression.

It features a 1.8V power supply and a separate 5.0V power supply for internal LEDs for heart rate and blood oxygen acquisition in wearable devices, worn on the fingers, earlobe, and wrist. The standard I2C-compatible communication interface can transmit the collected values to the KL25Z and other microcontrollers for heart rate and blood oxygen calculation

In addition, the chip can also shut down the module through software, the standby current is close to zero, and the power supply is always maintained. Because of its excellent performance, the chip is widely used in the Samsung Galaxy S series mobile phones.

Compared with the previous generation MAX30100, the chip integrates a glass cover to effectively eliminate external and internal light interference and has the best reliable performance.


  Useful link:

For more information such as Pinout  & Programming , see this tutorial .


Main Applications:
  1. Medical Monitoring Devices
  2. Fitness Assistant Devices
  3. Wearable Devices

Features and Specifications:

  1. LED peak wavelength: 660nm/880nm
  2. LED power supply voltage: 3.3~5V
  3. Detection signal type: light reflection signal (PPG)
  4. Output signal interface: I2C interface
  5. Communication interface voltage: 1.8~3.3V~5V (optional)
  6. Board reserved assembly hole size: 0.5 x 8.5mm

Package Includes:

1 x MAX30102 Heart Rate and Pulse Oximeter Sensor Module (Black)

This sensor module integrates gesture recognition and touch detects functions in one piece, and provides an adjustable detection range within 0~30cm. When connected to your microcontroller, it can detect a 5-way touch signal and 7 kinds of gestures: move left, move right, move forward, move backward, pull up, pull down, pull, and remove. Besides, the sensor is also equipped with the function of auto-sleep and waking up. The module comes with the gesture recognition algorithm and provides simple and reliable data output. Use the sensor to directly communicate with upper computer or micro-controllers like Arduino and Raspberry Pi via serial port

The outer shield for the sensor retains the advantages of the Gravity series as well as makes the sensor more durable. This sensor can be used to make smart lamps, DIY intelligent cars, or used in interactive projects requiring gesture recognition.


Features:

  1. Onboard 5-way touchpad
  2. It provides an adjustable detection range within 0~30cm
  3. It can detect 5-way touch signals and 7 kinds of gestures
  4. This sensor can be used to make the smart lamp

Specifications:

  1. Operating Voltage: 3.3V~5V
  2. Operating Current: 56.3mA
  3. Current in Sleep Mode: 40uA
  4. Communication: UART
  5. Dimension: 36*32mm/1.42*1.26”

Package Includes:

1 x DFRobot Gravity Gesture & Touch Sensor

EMG detector is a bridge that connects the human body and electrical, the sensor gathers small muscle signal then process with 2th amplify and filter, the output signal can be recognized by Arduino. You can add this signal to your control system. Note: The sensor cannot be used for medical purposes.

In standby mode, the output voltage is 1.5V. When detect muscle is active, the output signal rises up, the maximum voltage is 3.3V. You can use this sensor in a 3.3V or 5V system.

Features :

  1. Grove Compatible
  2. 6 Disposable Surface Electrodes
  3. 1000mm Cable Leads
  4. No additional power supply

Package Includes :

1 x SeeedStudio Grove EMG Detector
1 x JST cable
1 x 6 Electrodes
1 x ECG Snap with 3.5mm Aux Audio Jack Medical Lead Wire

Weight
DimensionsN/AN/AN/AN/AN/AN/A
Additional information
Operating Voltage(V)

3.3 to 5

Operating Current (A)

<60mA

Interface Type

I2C

Storage Capacity

80 fingerprints

Verification Time

300~400ms

Pixel Resolution

508dpi

Number of Pixels

160×160

Fingerprint Detection Area(mm)

8×8

Working Temperature Range (°C)

-40 to 60

Body Diameter (mm)

21

Height (mm)

5

Operating Voltage Range (V)

2.5 to 3.6

I2C Bus Voltage Range (V)

1.7 to 5

LED Pulse Current (1) (mA)

10 to 200

Ambientt Light Range (lx)

0.25 to 16 383

Spectral Bandwidth Range λ0.5 (nm)

550 to 970

Output Code

16 bit, I2C

ADC Resolution Biosensor / Ambient Light Sensor

16 bit / 16 bit

Model

MAX30102

Product Type

Oximeter Sensor Module

Color

Black

Operating Voltage(V)

3.3~5V

Interface

I2C Interface

Detection signal type

light reflection signal (PPG)

LED peak wavelength

660nm/880nm

Dimensional Accuracy (mm)

0.5 x 8.5mm

Connector

3.5mm

Input Supply Range (VDC)

3.3V-5V