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Based C# Java SDK biometric face recognition access control time attendance machine with free WIFI
Based C# Java SDK biometric face recognition access control time attendance machine with free WIFI
Model Specification:
Face Recognition Machines Features
1. Support multi person face recognition with 5 persons at same time (Single person or multi person recognition are selectable
2. Support WDR (wide dynamic range), with good performance. It can be detected under a strong light, dark light and backlight environment
3. Support mask detection (Choose Yes/No in the menu)
4. Support capture stranger's face if he appears in the camera
5. Display user enrolled photo when verified face.
6. Support set face recognition distance: close (around 0.8m), middle (around 1.5m), far (around 2~3 meters)
7. Support lock screen, after locking screen, user have to touch the screen to active the machine, then do face recognition. If not touch the screen, even if the user stands in front of machine it not recognizes face.
8. Support match in server.
9. Waterproof rating is IP65 which suitable for outdoor installation on turnstile
Face Recognition Machines Features
1. Support multi person face recognition with 5 persons at same time (Single person or multi person recognition are selectable
2. Support WDR (wide dynamic range), with good performance. It can be detected under a strong light, dark light and backlight environment
3. Support mask detection (Choose Yes/No in the menu)
4. Support capture stranger's face if he appears in the camera
5. Display user enrolled photo when verified face.
6. Support set face recognition distance: close (around 0.8m), middle (around 1.5m), far (around 2~3 meters)
7. Support lock screen, after locking screen, user have to touch the screen to active the machine, then do face recognition. If not touch the screen, even if the user stands in front of machine it not recognizes face.
8. Support match in server.
9. Waterproof rating is IP65 which suitable for outdoor installation on turnstile
Price：
￥0.00
| Screen | 4.3 Inch Touch Screen |
| Keypad | Touch keypad |
| Operation system | LINUX 3.10 |
| CPU | 800M single-core ARM Cortex-A7 |
| NPU | 800G(0.8T) Hashrate |
| RAMROM | 256M DDR3L,4G EMMC |
| Camera | 2MP color camera + 2MP infrared camera |
| Live detection | Dynamic dual-camera anti-counterfeiting, to prevent all kinds of black-and-white, color photos and videos from deception |
| Logs capacity | 500000 |
| Verification | Face recognition, password, ID Card(IC card optional) |
| Face capacity | 5000 |
| Card Capacity | 5000 |
| Password Capacity | 5000 |
| Face Recognition Accurac | 99.70% |
| Recognition Speed | <0.2s |
| Recognition Distance | 0.5~2.5 meters (0.5~1.5 meters with live face recognition on) |
| Principle of ldentification | Face algorithm technology of multi-task cascaded convolutiona neural network based on |
| video stream for dynamic face detection, tracking and recognition | |
| WDR | Wide dynamic range, support accurate face recognition under Strong light, dark light and backlight |
| USB | USB2.0x1,Support U disk import/export data |
| Power supply | DC12V 1A |
| Built-in Battery (optional) | 7.4V,2000mA |
| Network Communication | TCP/IP,USB,Wifi |
| Free Attendance sofware | Local software and web based cloud software |
| Mask DetectionAccess | Support mask detection and face recognition with mask on |
| Control Interface | Lock output Doorbell output/external ring Weigand input/output |
| Environmental adaptability | Dark enviroment: LEDSoft light automatic fll light (Automatic control according to ambient light) |
| Muti language | Support 20 national languages and voices including English Spanish, Arabic, Thai, Farsi, Portuguese, French, Italian,Japanese, Korean, etc |
If you are interested, please feel free to contact me
Ms Lily
Whatapp:+86 13930184725
+86-18131860777
Monday to Friday 8:00-18:00
24 hours online customer service
| Mob / WhatsApp: +86-18131860777 E-mail: admin@qnmachinery.com Add:No. 332, Xinshi North Road, Qiaoxi District, Shijiazhuang City, Hebei Province, Shijiazhuang, Hebei, China | 
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