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06 May 2010
Quick Specifications for iGuard Systems
Technical Specifications- SC = Smart Card Only iGuard
- FSC = Fingerprint And Smart Card iGuard
| Power Supply |
1.2Amp Peak |
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| Fingerprint Sensor | ||
| Contactless Smart Card reader & writer (built-in) |
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| Web and Database Server | ||
| Network Security (SSL) | ||
| Auto Data Synchronization (i.e., master / slave configuration) |
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| Maximum Transaction Records stored (Offline) |
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| Static / Dynamic IP Assignment | ||
| Non-volatile memory | ||
| Computer Supported (with Internet Browser) | ||
| Valid Characters for Employee ID | ||
| Display | ||
| LCD Multi-Lingual | ||
| Two Finger Enrollment | ||
| Fingerprint Sensor Type | Optical (FOSC) |
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| Fingerprint Sensor Resolution | ||
| Fingerprint Sensor scan area (mm) | ||
| Image Capture Time | ||
| Verification Time | ||
| False Rejection Rate | ||
| False Acceptance Rate | ||
| Auto-match Count | ||
| Network Protocol | Wiegand - 500 feet (150 m) maximum distance 9-conductor, stranded, overall shield 22 AWG RS 485 - 2-conductor, shielded, solid, 18-24 AWG Ethernet - 300 feet (100 m) maximum distance Category 5 cable |
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| Network Interface | ||
| Real Time Clock | ||
| External Controls | Open-Door Switch Break-in Alarm Door Status |
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| Dimension (mm) | ||
| Mounting Plate | Single-Gang style electrical box, 48” to bottom of box | |
| Dimensions | SC, FSC: 4.1” (W) x 2.2” (D) x 5.9” (H) (105 x 55 x 150 mm) Super Master: 10.2” (W) x 7.5” (D) x 3.5” (H) (260 x 190 x 90 mm)
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| Weight | SC, FSC: 1.4 lbs (.64 kg) Super Master: 1.4 lbs (.635 kg) |
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| Hardware Processor | 32-bit AMD CPU, 386 processor | |
| Memory | SC, FSC; 32 MB onboard Flash Memory, 32 MB RAM Super Master: 32MB onboard Flash Memory, 128 MB RAM |
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* See notes on Fingerprint Technology and FAR/FRR below.
FAR and FRR Notes
The False Rejection Rate (FRR, also called False Non-Match Rate or FNMR) states the percentage of instances that an authorized individual is falsely rejected by the system. The False Acceptance Rate (FAR, also called False Match Rate or FMR) states the percentage of instances that a non-authorized individual is falsely accepted by the system. FRR and FAR (or FNMR and FMR) are diametrically opposed. Therefore, raising the FAR will lower the FRR and vice-versa. Accordingly, FRRs and FARs can be adjusted to fit the requirements of the entire security system.
In a real-world system, there are many factors that can affect FRR and FAR. For a minutiae-based fingerprint recognition system, these factors include:
- (A) the fingerprint capture device,
- (B) the fingerprint minutiae (template) extraction algorithm,
- (C) the fingerprint minutiae matching algorithm,
- (D) the user interface and
- (E) the user.
There may be myriad other factors that can depend on the system, how it is used and the conditions in which it is used. For this reason, many tests for "performance," "accuracy" or other test that determine FRR and FAR must be able to control as many known factors as possible and maintain them consistently throughout all tests.
It cannot be stressed enough that accurate fingerprint placement during the enrollment process is the key to achieving the best FIR and reducing FRR and user frustration. The iGuard LM520-FOSC makes this easy by having the fingerprint sensor at an ergonomically correct angle for feature extraction and FIR encryption.
















