Description
R101SN Capacitive USB Fingerprint Reader
R101SN's fingerprint collecting chip is FPC1020.
Material:Zinc alloy pedestal
The thickness is only 1.3 cm!R101SN outstandingly features self-learning function. During the
fingerprint verification process,the latest collected fingerprint
features would be integrated into the fingerprint database
automatically so that the users would obtain better and better
fingerprint verification result.
·High performance fingerprint reader for precise authentication
with PC or network security
·Excellent adaption for dry, wet, harsh fingerprint
·USB interface for high speed communication
·Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android support
·Outstanding authentication performance combined with SDK
·Adopts zinc alloy and well protect the fingerprint sensor
·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 settingSpecifications
·Interface: USB
·Dimension (L*W*H): 83*55*13 mm
·Fingerprint capacity: 1000
·Resolution: 508 DPI
·Voltage: 5V
·Scanning Speed: < 0.2 second
·Verification Speed: < 0.3 second
·Matching Method: 1:1; 1 :N
·FRR (False Rejection Ratio): ≤0.01%
·FAR (False Acceptance Ratio): ≤0.0001%
·Antistatic capacity: 15KV
·Abrasive resistance intensity: 1 million times
·Work environment: -25°C ---55°C
·Work Humidity: 10-90%Files
·Support Windows98,Me,NT4.0,2000,XP,Vista WIN7,Android
·Provide Free SDK Files
Fingerprint Sensor Duel: Capacitive Sensor and Optical Sensor
In today's rapidly advancing technology, fingerprint recognition
technology has become an indispensable part of our daily lives.
From the convenient unlocking of smartphones to the security
protection of high-end access control systems, the presence of
fingerprint sensors is indispensable. Among them, capacitive
sensors and optical sensors, as the two mainstream fingerprint
recognition technologies, each occupy a place in the market with
their unique advantages.
Capacitive sensors, a veteran in the field of fingerprint
recognition, are known for their high precision and fast response.
Its working principle is based on bioelectricity, capturing
fingerprint information by measuring the small capacitance
difference formed between the finger and the sensor. When the
finger touches the surface of the sensor, the ridges and valleys of
the fingerprint will form different capacitance values with the
sensor. These small differences are captured by the sensor and
converted into digital signals, thereby constructing a complete
fingerprint image. This process is fast and precise, like an
experienced painter using delicate brushstrokes to outline every
detail of a fingerprint.
The advantage of capacitive sensors lies in their high sensitivity
and fast response. It can maintain high recognition accuracy even
when the fingers are wet or the fingerprints are slightly damaged.
In addition, capacitive sensors have strong resistance to dirt and
grease, which can reduce recognition failures caused by finger
contamination to a certain extent. This has made capacitive sensors
widely used in devices such as smartphones that require fast and
accurate unlocking.
However, capacitive sensors are not omnipotent either. It is
sensitive to changes in the external environment, such as
temperature, humidity, and static electricity, which may affect its
recognition performance. Under extreme conditions, such as fingers
being too dry or wet, the recognition performance of capacitive
sensors may be affected to some extent. In addition, for users with
poor fingerprint quality, such as the elderly or those with severe
fingerprint wear, the recognition effect of capacitive sensors may
not be satisfactory.
In contrast, optical sensors are known for their high adaptability
and wide range of application scenarios. It uses light to
illuminate the surface of fingerprints and constructs fingerprint
images by capturing differences in reflected light. This technology
is not only suitable for dry fingers, but also maintains a high
recognition rate in wet or heavily stained situations. The
advantage of optical sensors lies in their good adaptability to
users with poor fingerprint quality. Even if the fingerprint is
shallow or severely worn, the recognition accuracy can be improved
by adjusting the lighting and image processing algorithms.
In application scenarios such as access control systems and
attendance machines that require complex environments, optical
sensors have gained widespread recognition for their excellent
adaptability and stability. However, optical sensors are not
without defects. It is sensitive to changes in lighting
environment, such as strong or low light environments, which may
affect recognition performance. In addition, optical sensors may be
slightly slower than capacitive sensors in recognition speed
because they require a certain amount of time to capture and
process light information.
In summary, capacitive sensors and optical sensors have their own
advantages and play their respective roles in different application
scenarios. When choosing a fingerprint sensor, we need to consider
the specific usage environment, user group, and security needs
comprehensively. Only by choosing the appropriate sensor technology
can we ensure the stability and accuracy of the fingerprint
recognition system, providing a safer and more convenient guarantee
for our daily life.
With the continuous advancement of technology and changes in market
demand, capacitive sensors and optical sensors are also constantly
developing and improving. In the future, we have reason to believe
that these two technologies will continue to shine in the field of
fingerprint recognition, bringing us a more intelligent,
convenient, and secure experience.
GROW R102A Capacitive USB Fingerprint Reader With DC5V 208*288 Pixel 1500 Capacity For Windows Android Access Control
