• Face recognition terminal • 7-inch touch screen, 2 Mega pixel wide-angle lens • Built-in card reader for EM/Mifare1 card(optional) • Deep learning algorithm • 6,000 faces, 5,000 cards, 5,000 fingerprints (optional), 10,000 events storage • TCP/IP, Wi-Fi(optional) communication, IP65 • Anti-spoofing detection • Face recognition in dark environment • Multiple time attendance status • Face Recognition Accuracy Rate > 99% • Face Recognition Duration(1:N) ≤ 0.5s • Face Recognition Distance: 0.3m ~ 1.5m
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Operation System |
Linux OS |
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Screen |
7 inch touch screen, ratio: 16:9, resolution: 1024 × 600 |
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Camera |
2 MP dual-lens camera, with IR supplement light, WDR |
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Recognition mode |
Face: 1:1 and 1:N, Fingerprint: 1:1 and 1:N |
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Face capacity |
6000 |
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Face
recognition |
＜ 0.5 s per person |
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Face
recognition |
0.3 to 1.5 m |
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Card capacity |
6000 |
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Card type |
EM card or M1 card |
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Card swiping duration |
＜ 1 s |
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Card swiping distance |
0 to 3 cm |
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Event capacity |
10000 |
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Interface |
Network × 1, RS-485 × 1,
Wiegand × 1, USB × 1, alarm output × 1, alarm input × 2, lock ×1, door |
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Network |
10/100/1000 Mbps self-adaptive |
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Wi-Fi |
Support |
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Working voltage |
12 VDC/3 A |
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Working temperature |
-30 °C to 60 °C (-22 °F to 140 °F) |
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Working humidity |
0 to 90% (No condensing) |
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Internet Interface |
1 RJ45 10M/100M Self-Adaptive Ethernet Interface |
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Protection level |
IP65 |