
Description
·Communication interface : USB and UART
·1:N Identification (One-to-Many)
·1:1 Verification (One-to-One)
·High speed fingerprint identification algorithm engine
·Self study function
·Fingerprint feature data read/write functions
·Get Feature Data of Captured fingerprint and Verify/Identify
Downloaded Feature with Captured
·Fingerprint Identify Downloaded Feature with Captured fingerprint
·Security Level setting
·Able to set BaudRate/ Device ID/Device Password
·Operating system:Windows 98, Me, NT4.0, 2000, XP,WIN 7 or AndroidSpecifications
·Interface:USB 2.0 and UART(3.3V-TTL logic)
·Resolution:508 DPI
·Work Current: <55mA
·Voltage: DC 4.2-6.0V
·Fingerprint capacity:1000
·Security Level: 1-5, default is 3
·Sensor Array: 208*288 pixel
·Fingerprint reader module size: 20.4 * 33.4 (mm)
·Effective collection area: 11 * 15 (mm)
·ScanningSpeed: < 0.2 second
·Verification Speed: < 0.3 second
·Matching Method: 1:1; 1:N
·FRR (False Rejection Ratio): ≤0.01%
·FAR (False Acceptance Ratio): ≤0.00001%
·Work environment: -20°C ---55°C
·Work Humidity: 20-80%
·Communications baud rate (UART): (9600 × N) bps where N = 1 ~
12(default N = 6, ie 57600bps)Files
·All fingerprint module support with Arduino, Android, Windows,
Linux, .Net and so on.
·Provide Free SDK Files
·Provide User ManualWhy do fingerprint modules fail in cold weather?
In cold weather conditions, the recognition performance of
fingerprint modules is often affected, resulting in recognition
failure or slower recognition speed. Behind this phenomenon, there
are multiple complex reasons hidden.
Firstly, cold weather causes the skin on the fingers to become dry.
As the temperature decreases, the humidity in the air also
decreases, which accelerates the evaporation of moisture on the
surface of the finger skin, making it dry and rough. Dry skin not
only makes it difficult to form clear fingerprint images, but also
affects the sensor of the fingerprint scanner in capturing
fingerprint information. Especially for capacitive fingerprint
modules, their working principle relies on the tiny capacitance
changes on the surface of the finger skin, and dry skin can
significantly affect these capacitance changes, leading to
recognition failure.
Secondly, cold weather can also affect the blood circulation of
fingers. In order to maintain body temperature, the body's
protective mechanism reduces blood circulation in the limbs to
minimize heat loss. This change will cause a decrease in the
temperature of the finger skin, slow down blood circulation, and
thus affect the conductivity of the skin. Capacitive fingerprint
scanners rely on changes in the conductivity of the skin surface to
capture fingerprint information when recognizing fingerprints.
Therefore, the decrease in conductivity will directly affect the
recognition performance of fingerprint modules.
In addition, cold weather may also cause cracking or peeling of
finger skin. Under the dual effects of dryness and cold, the skin
of fingers is prone to cracking or peeling. These minor damages on
the surface of the skin can interfere with the recognition process
of the fingerprint scanner, making the fingerprint information
blurry or difficult to recognize.
In summary, the negative impact of cold weather on the recognition
performance of fingerprint modules is mainly due to dry finger
skin, slow blood circulation, and skin cracking or peeling. These
factors work together to make it more difficult to use fingerprint
modules for identity verification in cold weather.