PRODUCTS
Details
The Rakinda F9 is a next-generation biometric access control system that combines facial recognition, palm vein biometrics, and IC card authentication in a single sleek 8-inch touchscreen device. As touchless biometrics such as face and palm recognition continue to gain traction in the post-pandemic era, the F9 delivers a hygienic, frictionless security experience for offices, government facilities, healthcare institutions, and corporate lobbies. Supporting a local user database of up to 15,000 users with optional cloud database expansion, this face recognition access control terminal is ideal for enterprises seeking high-security access control with multimodal authentication. Available in three configurations (MTK/Android 9, RK3568/Android 11, RK3576/Android 14) with 2+32GB or 4+64GB memory options, the F9 offers flexibility for any deployment scale. Full SDK support enables seamless secondary development for system integrators and ISV partners.
Facial Recognition & Palm Vein Reader Parameters
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Algorithm |
Support algorithms from top domestic AI manufacturers |
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Function |
Combined with facial recognition algorithms, it supports a database of tens of thousands of faces. |
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Velocity |
Combined with face recognition algorithm, face recognition |
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Anti-fake |
Palmar vein recognition, with live detection support |
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Interaction |
8-inch ultra-high-definition touchscreen with voice interaction prompts |
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Environment |
Exemplary environmental adaptability, demonstrating excellent performance under both low-light conditions and strong backlighting. |
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Open |
Provide an SDK to meet the secondary development needs of S/ISV vendors |
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Verification |
Palmar massage (palmar creases, palmar veins) |
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Access control attendance Face recognition all-in-one machine terminal |
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Product Features |
Major function |
Access control, attendance check, access gate |
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Service environment |
Indoor, outdoor |
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Enclosure |
Aluminum alloy material, silver color |
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Face Recognitio Camera |
Type |
RGB |
IR |
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Resolution ratio2 |
2 million pixels |
2 million pixels |
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Vertical wide anglen |
65° |
65° |
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Horizontal wide angle |
40° |
40° |
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White fill light |
Support |
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Infrared fill light |
Support |
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Palm Vein Reader |
Type resolution ratio |
1.3 million pixels |
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Algorithm performance |
Shaking Angle Heel angle ≤ 30°, roll angle ≤ 30°, yaw angle ≤ 360° |
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Palms Recognition Accuracy Rate 98% |
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Computing power requirements for the host machine ≥4*A17@1.8GHz |
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Algorithm Deployment Strategy Supports both on-premise and cloud deployments |
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Human-Computer Interaction |
Display screen |
8-inch full-view 170° IPS LCD display with a resolution of 800×1280 |
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Touch screen |
Support |
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Backlight |
White |
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Pilot lamp |
Red, Green |
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Communication Mode |
Ethernet |
10/100 Mbps Ethernet |
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WIFI |
Complies with the IEEE 802.11b/g/n standard (2.4 GHz) |
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Identification Method |
Face recognition |
Support |
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Palmar vein identification |
Support |
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IC Card & Network Certificate |
Optional |
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Interface |
Data interface |
USB 2.0*1 RJ45*1 |
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Source |
Adapter |
DC5525 – Power supply: 12 V/2 A |
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Environmental Requirements |
Working temperature |
-20℃ ~ 60℃ |
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Static electricity ESD |
IEC61000-4-2,LEVEL3 |
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Working Humidity |
20% to 90% (in the absence of condensed water droplets) |
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Way to Install |
Desktop, wall-hanging, turnstile |
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