www.xprgroup.com
3
1. DESCRIPTION
2. . SPECIFICATIONS
Fingerprint capacity
up to 100 fingerprints
Technology
Biometry and Mifare
(13,56 Mhz, Mifare Classic 1K & 4K, Ultralight, Desfire , selectable by dipswitch)
Use
Outdoors
Authentication
Finger, Card, Finger or/and Card, Finger on Card
Fingerprints per user
1-10 fingerprints
Proximity reading type
Mifare Classic 1K & 4K, Ultralight, Desfire
Reading distance
1.5 to 5.5 cm
Interface
Wiegand 8 to 128 bits; Default: Wiegand 26bit
Protocol programming
By PROS CS software (EWS system) and BIOMANAGER CS (all access control systems)
Cable distance
150m
Fingerprint Sensor Type
Swipe Capacitive
1:1000 identification time
970 msec, including feature extraction time
Fingerprint enrolment
On the reader or from the USB desktop reader
Panel Connection
Cable, 0.5m
Green and Red LED
Externally Controlled
Orange LED
Idle mode
Buzzer ON/OFF
Yes
Backlight ON/OFF
Yes, by software settings
Tamper
Yes
Consumption
Max. 160mA
IP Rating
65
Power supply
9-14V DC
Operating Temperature
-20°C to +50°C, non-condensing
Dimensions (mm)
100 x 94 x 30
Housing
ABS
Storage/Operating Humidity
5% to 93% RH without condensation
B100PROX-MF V1 is a Wiegand biometric and proximity reader for access control applications with programmable wiegand
output. It offers storage of up to 100 fingerprints, it reads Mifare Classic 1K & 4K, Ultralight, Desfire cards/tags and has a
programmable Wiegand Output (8 to 128 bits).
Configuration of the readers and fingerprint enrollment is done through PC Software.
Connection between the biometric readers is RS-485 and it is used for fingerprint transfer and configuration.
When used with third party controllers, the connection between the Biometric readers and the PC is done through a
converter (CNV200-RS-485 to USB or CNV1000-RS-485 to TCP/IP). Only one converter is needed per system (one
converter for 1, 2, 3...30, 31 Biometric readers).
The tamper switch output can trigger the alarm system, if an attempt is made to open or remove the unit from the wall.
The sensor incorporates dedicated sensing hardware to facilitate the detection of “spoofing” attacks based on fake
fingers. This data is embedded into the image data stream, and is processed on the processor. The system is capable of
detecting and defeating well-known fake finger mechanisms, such as molded “gummy” fingers.
The coating on the surface of the TouchChip sensor provides protection from scratching and abrasion due to normal
contact with fingertips and any incidental contact with fingernails.