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Brand Name : SCANMAX
Model Number : F5-BG
Place of Origin : Shenzhen, Guangdong, China
MOQ : 1 pcs
Price : Negotiation
Payment Terms : Western Union, T/T, Paypal
Supply Ability : 200PCS/Week
Delivery Time : Within 5 working days after receiving the balance
Packaging Details : Normal craft paper and foam
Screen : 8", full viewing angle, 170° IPS LCD
CPU : 6 cores, clocked at 2.0GHz
OS : Android 7.1.2
Network module : Support wired, wireless (2.4GWi-Fi), wireless (USB external)
IP Protection : IP54
Weight : ≈1050g
Rakinda F5 is an android biometric face recognition terminal with an infrared sensor and face recognition camera. It equipped with 8-inch touch screen, 1280*800 and HDR front camera.
In addition, Our F5 provides face recognition SDK for secondary development, comes with baidu algorithm. And we also have the self-developed independent face recognition management platform.
Product Parameters:
| Face Recognition Terminal Product Parameters | |||
| Screen | Size | 8", full viewing angle, 170° IPS LCD | |
| Resolution | 800*1280 | ||
| Camera | Type | RGB | TOF | 
| Resolution (horizontal × vertical) | Support 1080P/960P/720P/VGA | 640× 480 Pixel | |
| Field of view (horizontal × vertical) | 74° × 56° @960P (Default) | 80° × 60° | |
| 63° × 37° @1080P | |||
| 74° × 42° @720P | |||
| 74° × 56° @VGA | |||
| Frame rate (FPS) | Maximum 30FPS @960P/720P/VGA Up to 15FPS @1080P | MAX 30FPS | |
| Detection distance (unit: meter) | 0.35-1.2 | ||
| light source | 850nm VCSEL | ||
| Working temperature (degree Celsius °C) | 0℃-50℃ | ||
| Core parameter | CPU | 6 cores, clocked at 2.0GHz | |
| RAM | 2G | ||
| ROM | 16G | ||
| OS | Android 7.1.2 | ||
| Parts | Fill light | Infrared, LED fill light | |
| Network module | Support wired, wireless (2.4GWi-Fi), wireless (USB external) | ||
| Bluetooth Module | 4.0 | ||
| 4G communication module | Optional (built-in or external) | ||
| ID card reader | Optional (built-in or external) | ||
| GPS | Optional (built-in or external) | ||
| Port | USB | USB2.0 1 | |
| RD232 | RS232 serial port, 2.5mm terminal block 2P | ||
| Relay output | 2.5mm terminal block 3P | ||
| Wiegand interface | 2.5mm terminal block 3P, support Wiegand 26 | ||
| Wired network interface | RJ45 Gigabit network | ||
| General parameters | IP Protection | IP54 | |
| Power | DC12V (±10%) /3A | ||
| Operating temperature | -20℃ ~70℃ | ||
| Working humidity | 10%~90 % | ||
| Power consumption | 22W MAX | ||
| Installation method | Wall bracket installation, gate bracket installation | ||
| Equipment size | 239.2mm*123.2mm*26.4mm | ||
| Weight | ≈1050g | ||

Product Features:
- QR Reading & Card Reading & Face Recognition All in One
- Infrared Binocular Camera to Support Live Detection
- Binocular Camera with RS232,USB 2.0,Relay Output
- Independent Software Management Platform by Supporting Multiple Languages
- Multi-system with Mass Storage Space & 99.9% Recognition Accuracy
- Support Online & Offline Version for Customer Flexible Choice
- Optional Designs for Choice--Wall Mounted & Turnstile Fixed Model
- 3D TOF Super Scanning with Highest Security & Integrating Baidu Algorithm





Fast recognition:
- Face tracking and detection takes about 20ms.
- Face feature extraction takes about 200ms.
- In vivo detection of face comparison time 0.6ms (1000 people library, multiple recognition average), 0.8ms (10000 people library, multiple recognition average).

Application Scenario:
Applicable to office areas, hotels, access gates, office buildings, schools, shopping malls, shops, communities, public services and management projects, etc. where face access is required.


| F3 | F5 | F6 | 
|  |  | Customized Model (Can be designed thinner) | 
| Android 7.0 | Android 7.0 | Android 9.0 | 
| DDR3 | DDR3 | DDR4 | 
| CPU: 6 cores | CPU: 6 cores | CPU: 8 cores | 
| RAM: 2GB | RAM: 2GB | RAM: 3GB | 
| ROM: 8GB | ROM: 8GB | ROM: 16GB | 
| 3D TOF Technology | Infrared Binocular | 3D TOF Technology + APU +4G | 
| Standard Device | Standard Device | Customized | 
|   | 
| Binocular Camera Face Recognition Device F5-BG Android 7.1.2 OS Support Wired / Wireless Images | 
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