1. Product Description
The face recognition smart cabinet terminal uses the RK1109 processor, a binocular wide dynamic camera, and the Linux operating system. It is embedded with the binocular 3D liveness detection and neural network deep learning visible light face recognition algorithm independently developed by Fu Ge. It launches a high-performance, highly versatile, and system-stable smart cabinet face recognition terminal that can be connected to various controllers to realize storage mode and deposit mode smart cabinet control management.
This face recognition smart cabinet terminal accepts software and hardware evaluation customization requirements, or opens Linux secondary opening.
2. Product Features
● Adopt binocular 3D liveness detection + neural network deep learning visible light face recognition algorithm;
● Support face recognition and password verification;
● Support 8-inch vertical display screen, resolution: 800*1280;
● Support Linux operating system;
● Support binocular anti-counterfeiting, recognition speed: < 1 second;
● Ultra-wide adaptability to people of different heights from 145cm to 195cm, recognition distance (face) 50~150cm;
● Suitable for use in semi-outdoor and indoor environments
● Standard configuration for 10,000 people without error recognition;
● Liveness detection false acceptance rate (LDAFAR): ≤1%;
● Liveness detection false rejection rate (LPFRR): ≤1%;
● Face recognition rate: ≥99.7%, false recognition rate: ≤0.01%;
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Product model |
FU548-L |
|
SOC |
Dual-core ARM Cortex-A7and RISC-V MCU 1.2Tops ( Rockchip RV1109) |
|
DDR3 |
1G DDR3 |
|
Flash |
4GB (standard) |
|
Touch screen |
8-inch IPS LCD 800*1280 |
|
TP |
Standard |
|
Operating system |
Linux |
|
Face algorithm |
Support standard neural network deep learning visible light face recognition algorithm |
|
Camera |
Binocular (IR+RGB) 200W HD wide dynamic camera |
|
White fill light |
Support |
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Infrared light |
4 (940nm)/(850nm) |
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Verification method |
Standard face, password |
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Number of users |
Standard 10000 people |
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Pass (recognition) rate (face) |
≥99.9% |
|
False recognition rate (face) |
≤0.01% |
|
Recognition angle (face) |
About 20 degrees left and right and up and down |
|
Recognition distance (face) |
50-150CM |
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Face liveness detection function |
Support |
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Face liveness detection false acceptance rate (LDAFAR) |
≤1% |
|
Face liveness detection false rejection rate (LPFRR) |
≤1% |
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Network port |
Support TCP/IP (RJ45 interface supports 10M/100M) |
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WiFi (optional) |
IEEE802.11a/b/g/n |
|
4G (optional) |
7 modes Full network access |
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Second generation ID card reader (optional) |
Support |
|
Wiegand |
26/34 |
|
USB port |
Support |
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RS232 |
Support 1 channel |
|
RS485 |
Support 1 channel |
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Relay output |
Support |
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Power supply |
DC12V2A |
|
Input method |
Support |
|
Language |
Chinese and English |
|
Operating temperature |
-20℃~60℃ |
|
Storage temperature |
-30°C ~ 70°C |
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Relative humidity |
5% ~ 90% RH (non-condensing) |
|
Built-in firmware |
Support smart cabinet management firmware |
+86-0755-2607 5207
