G3 Pro-Palm Recognition Terminal
Rated 3.5/5 based on 11 customer reviews

G3 Pro-Palm Recognition Terminal

Available: Out of Stock
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R 11,015.65

G3 Pro - Palm Recognition Terminal

SPECIAL ORDER ONLY - LEAD TIME DEPENDENT ON STOCK AVAILABILITY & CUSTOMS

G3 Pro is a ZKTeco Green Label Contactless Biometric Time Attendance terminal, which is ideal for food processing facilities or anywhere that hygiene, germs or bacteria can be an issue.

The terminal is powered by Computer Vision technology with 3-in-1 contactless palm recognition. G3 Pro can perform bio-authentication with a user's palm vein, palm print, and the shape of palm at the same time once the sensor detects a hand presented.

Palm vein and palm print patterns are reliable human identifiers as the details are extremely hard to be duplicated, thus, together with the powerful algorithm, users may enjoy the terminal’s enhanced anti-spoofing ability.

G3 Pro is equipped with a hand tracking technique allowing angle tolerance as wide as +/-60° in the roll axis, the huge capacity of 6,000 palm templates, and a 1.4GHz quad-core CPU, extracts palm print and vein pattern for analysis at a distance for recognition from 0.2m to 0.5m in less than 0.35s. Users no longer need to struggle to touch the sensor at a specific angle and align the centre of the palm with the centre of the input sensor for proper hand images to be acquired.

The Green Label Product Series is made of environmentally friendly and safe materials.

Compatible With:

ZKBioSecurity
BioTime 8.0 - 5 Devices ZKBT-Dev-P5
BioTime 8.0 - 10 Devices ZKBT-Dev-P10

G3 Pro - Palm Recognition Terminal

SPECIAL ORDER ONLY - LEAD TIME DEPENDENT ON STOCK AVAILABILITY & CUSTOMS

G3 Pro is a ZKTeco Green Label Contactless Biometric Time Attendance terminal, which is ideal for food processing facilities or anywhere that hygiene, germs or bacteria can be an issue.

The terminal is powered by Computer Vision technology with 3-in-1 contactless palm recognition. G3 Pro can perform bio-authentication with a user's palm vein, palm print, and the shape of palm at the same time once the sensor detects a hand presented.

Palm vein and palm print patterns are reliable human identifiers as the details are extremely hard to be duplicated, thus, together with the powerful algorithm, users may enjoy the terminal’s enhanced anti-spoofing ability.

G3 Pro is equipped with a hand tracking technique allowing angle tolerance as wide as +/-60° in the roll axis, the huge capacity of 6,000 palm templates, and a 1.4GHz quad-core CPU, extracts palm print and vein pattern for analysis at a distance for recognition from 0.2m to 0.5m in less than 0.35s. Users no longer need to struggle to touch the sensor at a specific angle and align the centre of the palm with the centre of the input sensor for proper hand images to be acquired.

The Green Label Product Series is made of environmentally friendly and safe materials.

Compatible With:

ZKBioSecurity
BioTime 8.0 - 5 Devices ZKBT-Dev-P5
BioTime 8.0 - 10 Devices ZKBT-Dev-P10
  • Time Attendance device
  • 3-in-1 Contactless Biometric Palm Recognition
  • Multiple verification modes
Capacity
Fingerprints 20,000
Faces 12,000
Palm 6,000
Cards 20,000
Transactions 200,000
Communication TCP/IP / USB Host / Wiegand Output
Access Control Interface Lock Relay Output / Alarm Output / Exit Button / Door Sensor / External Bell
Hardware 1.4GHz Quad Core CPU
Memory 1G RAM / 1G Flash / SilkID Fingerprint Sensor
4.3 Inches Touch Screen / Hi-Fi Voice & Indicator / Tamper Switch Alarm
Standard Functions ID Card / Work Code / WDMS / DST / SMS / Bell Schedule / Attendance Status Auto-Switch / Record Query / Photo ID / Custom Wallpaper & Screen Saver
Special Functions Multiple Biometric Verification Modes
Alive Face / Palm Detection
Duplicate Face / Palm Detection
Optional Functions HID Proxy / Mifare Card Reader
Wi-Fi / 3G
External Printer
Battery (2,000 mAh)
POE (Standard IEEE 802.3at)
Compatibility BioTime8.0 / ZKBioSecurity (T&A) / WDMS
Additional Info Working Temperature: 0 °C ~ 45 °C
Dimensions: 199.2× 171.8 × 96.9 mm
Algorithms: ZKFace v12.0 & ZKFinger v10.0 & ZKPalm V12.0
Fingerprint: FAR≤0.0001%; FRR≤0.01%
Face: FAR≤0.001%; FRR≤1%
Palm : FAR≤0.01%; FRR≤1%
Power Operating Voltage 12V DC
Current Draw  < 500 mA