Dustproof Full View LCD Display Face Recognition Attendance Machine
Description:
Face recognition temperature measurement uses high-performance hardware platform, equipped with industrial-class binocular camera, live face recognition technology and infrared thermal imaging module to support face-with-mask identify. It supports 1: 1 and 1: N face comparison and retrieval, face-with-mask recognition and human temperature detection. It supports automatic alarm for body temperature abnormality. It also supports expansion of various peripherals such as ID card readers, fingerprint readers, etc., which can be applied to gate passages and attendance system to achieve safe and efficient access control for personnel.
Feature:
1. 8-inch IPS full-view LCD display.
2. Industrial-class appearance, waterproof and dustproof design which is stable and reliable.
3. Supports 100,000 face database. The 1: 1 comparison recognition rate is more than 99.7%, the 1:N comparison recognition rate is more than 96.7%@0.1% misrecognition rate, and the live detection accuracy rate is 98.3%@1% misrejection rate. Face recognition pass speed is less than 1 second.
3. Supports accurate face recognition and comparison while wearing a mask
4. Using industrial-grade binocular wide dynamic camera, night infrared and LED dual photo flood lamp.
5. It only takes a few seconds for detection, and supports automatic alarm
6. Supports human body temperature detection and temperature display. The best temperature detection distance is 0.5 meters. The longest distance at which body temperature can be measured is 1 meter. The measurement error is plus or minus 0.5 ℃.
7. Attendance data is exported in real time.
8. Supports various peripheral expansions such as ID card reader, fingerprint reader, IC card swipping, two-dimensional code reader, etc.
9. The documentation is complete and supports secondary development.
10. Support system level, APP offline level, APP + background network level multiple API docking.
| Dimensions | 257mm*138mm*26.5mm |
| Package Dimensions | 365mm*230mm*80mm |
| Weight | 1.35kg |
| Package Weight | 1.8kg |
| Body Temp Measurement | 8*8 Thermopile,Distance: 30~50cm,Accuracy ±0.2℃~±0.5℃ |
| CPU | ARM 4 Cores, Cortex-A17, 1.8GHz |
| RAM | 2GB |
| Camera | RGB&AI Dual WDR Cameras, Micron AR0230 Sensors |
| Sockets | RS485,RS232,Wiegand26/34,TTL,On-Off signal(D1,D0),LAN,WIFI |
| Extensibility | Connect to cloud, support background processing |
| Facial Recognition | 1:1,1:N |
| Operating Temperatures | Face Recognition -15~60℃ Body Temperature Measurement:18~35℃ |
| Operating Humidity | ≤90% |
| Rated Voltage & Current | DC12~16V, 2A |
| Certification | CE FCC |
Application:
Can be used with access gates and attendance for communities, office buildings, schools, hotels, scenic spots, transportation hubs and other public service places.
Competitive Advantage:
1. We can offer OEM&ODM services
2. All software free provide , and technical support after-service
3. long time warranty: 3 Years
4. 24 hours online service
