F803P
The F803P offers a customized facial recognition terminal solution for a wide range of locations such as railway station, bus station, airport, customs control, school, library, sports hall, museum, bank, hospital, hotel, shopping center, residential apartment, commercial building, industrial park, amusement park, etc. The entrance monitoring system with infrared beam detects the human temperature and gives a possible fever warning. Face recognition is supported by wearing a face mask.
Support of extensions: Payment gateway “Ingenico”, Muria, Megtek card reader, fingerprints, ID card, IC card & QR code reader for the entrance surveillance system.
Characteristics:
1. 3D face model, binocular live recognition, no photo and video cheating
2. face recognition with mask, super fast recognition speed of less than 1s
3. automatic alarm when a defined abnormal temperature is exceeded
4. measuring accuracy ± 0,2°C, face detection distance in 50cm ~ 100cm
5. face detection, comparison, temperature recognition for access
6. can be perfectly integrated into your own customized APK programs
7. records are automatically exported to upload them to the cloud server
8. support for blacklist and whitelist definites that can be passed through during face scanning
9. presence data is immediately visible and automatically counted
10. tray can be mounted on a column (see picture above left), console, wall, gate or table stand
| CPU | Quad-core Cortex-A17,1.8GHZ | |||
| OS | Android 7.1 | |||
| Memory | 2GB DDR3 | |||
| Storage device | 8GB (16GB Optional) | |||
| LCD | 8’IPS 800*1280 | |||
| I/O ports | Internet | Support WiFi Ethernet, wireless WIFI | ||
| Audio | Support 2W/8R Speaker | |||
| USB interface | USB OTG*1, USB HOST standard A*1 | |||
| SCI | RS232*1, RS485*1 | |||
| Relay | Open output*1 | |||
| Wiegand | Wiegand 26/34 output*1, Wiegand 26/34 input*1 | |||
| Upgrade Button | Support Uboot upgrade button | |||
| Wired Network Interface | RJ45 Ethernet socket*1 | |||
| Binocular recognition cameraa | Resolution | 200W pixel | ||
| Type | Binocular wide motion camera | |||
| Focal distance | 50~150CM | |||
| White balance | Automatic | |||
| Assessary | Fill light | LED + infrared light | ||
| Function | Facial detection | Multi-detection | ||
| Face database | Maximun 30K | |||
| 1:N Facial recognition | Support ,recognition rate above 96.7% | |||
| 1:1 Facial comparision | Support ,recognition rate above 99.7% | |||
| Live detection | Accuracy above 98.3% | |||
| Face recognition speed | Less than 1S | |||
| Stranger monitored | Support | |||
| Identification range customize | Support | |||
| UI customize | Support | |||
| Remote upgrade | Support | |||
| Interfaces | Includes device mangement, Staff/Photo management, Record review, etc. | |||
| Deployment method | Public cloud deployment, Privatization deployment, LAN, Stand-alone mode | |||
| Infrared themal imaging temperature measurement function | Infrared themal imaging temperature measurement | Support | ||
| Face recognition with mask | Optimization support | |||
| Human temperature detection | Support | |||
| Temperature measurement distance | 1 meter | |||
| Accuracy of temperature measurement | 0.2℃ | |||
| Temperature measurement range | 10℃~42℃ | |||
| Thermal field of view | 32*32℃ | |||
| Vistors’ temperature is normal and released directly | Support | |||
| Body temperature over temperature alarm | Support (temperature alarm value can be defined) | |||
| General specification | Protection degree | IP65,certain outdoor dust and water resistance | ||
| Power | DC12V(±10%) | |||
| Wordking Temperature | -10℃~60℃ | |||
| Storage Temperature | Storage Temperature -20℃~60℃ | |||
| Power dissipation | 13.5W (Max) | |||
| Installation | Wall-mount brackets, Gate bracket installation | |||
| Dimension | 238.24*128*21.48(mm) | |||
| External extension equipment | ID card reader | |||
| Fingerprints | ||||
| IC card reader | ||||
| QR reader | ||||
| Entrance guard gate | ||||
| Software secondary development | Support system level, APP off-line level, APP+background network level API docking, document improvement, secondary development. | |||
