一、Product description
4.3 "face recognition access control product solution: A face recognition access control product solution developed by using 3-core AI chip, embedded binocular 3D live detection + neural network deep learning visible light face recognition algorithm, equipped with 2 million binocular cameras and 4.3" horizontal screen touch.
Face recognition product solution can be applied to access control &attendance , smart cabinet , various integration project products.
二、Product characteristics
● Binocular 3D in vivo detection + neural network deep learning visible light face recognition algorithm;
●Support face recognition, fingerprint, palm print, password, swipe card, two-dimensional code and other verification methods;
● Support WiFi/ Bluetooth communication, and realize mobile phone photos or second-generation ID card photos as templates;
● AI chip is used to realize long endurance work of face recognition intelligent lock;
● Support set 1-5 face recognition at the same time, recognition success can text display + voice broadcast;
● Ultra-wide 1.3m ~ 2.0m high and short people adaptability, recognition distance (face) 0.5~ 1.5m;
● Support completely dark and outdoor non-direct sunlight recognition;
● In vivo detection error rate: 0.001%;
● Live detection false acceptance rate (LDAFAR) : ≤1%
● Live detection false rejection rate (LPFRR) : ≤1%;
● Face recognition rate: 98.85%, false rate: 0.0001%;
● Recognition speed: within 1S;
● Identification Angle: around 20 degrees, up and down 20 degrees (single photo registration).
|
Model |
T1 |
|
SOC |
3-core CPU：Arm 900M
4-NPU:0.5T |
|
DDR2 |
64MB |
|
Flash |
1Gb |
|
Operating system |
Linux |
|
camera |
IR+RGB 2 million pixel Binocular camera. |
|
Light board |
Support LED light board |
|
Display |
4.3 inch RGB screen, display resolution: 480*272 pixel |
|
Touch |
Support tempered glass TP touch |
|
Face recognition algorithm |
Support neural network visible light face recognition algorithm |
|
Palmprint recognition |
Optional support |
|
Fingerprint recognition |
Optional support |
|
Two-dimensional code recognition |
Optional support |
|
Verification mode |
Standard face, password, credit card |
|
Number of users |
Face, password, swipe card each 2000 people |
|
Simultaneous recognition of number of people (faces) |
1-5 (configurable) |
|
VR |
98.85% |
|
FAR |
0.0001% |
|
Recognition Angle (face) |
About 20 degrees up and down |
|
Recognition distance (face) |
4~150cm |
|
Face detection function |
support |
|
Human face Detection Error Acceptance Rate (LDAFAR) |
≤1% |
|
Face in vivo Detection Error Rejection Rate (LPFRR) |
≤1% |
|
Wired network port |
Used for data communication with platform software |
|
Wifi |
Used for data communication with platform software |
|
Bluetooth |
Support (standby) |
|
Flash drive |
Supports data export and import, and firmware upgrade |
|
WG-IN/OUT |
Support 26/34 |
|
RS232/RS485 |
Support (1 of 2) |
|
Power source |
12V/2A |
|
RTC |
support |
|
doorbell |
Support (relay signal output |
|
IO |
One in one out (spare) |
|
Door opening button |
support |
|
megaphone |
support |
|
Optical fingerprint head |
Support external connection (optional) |
|
Anti-folding alarm |
support |
|
Operating temperature |
-10°C ~50°C |
|
Storage temperature |
-30°C ~ 70°C |
|
Relative humidity |
5% ~ 95% RH(non-condensing) |
|
Built-in firmware |
Access control software (customized) |
+86-0755-2607 5207
