Face Recognition Device 8 inch Screen Conductive Temperature Contro
Quick details:
1. Use An 8 inch IPS full view LCD display.
2, industrial-grade appearance, waterproof, dustproof design,
stable and reliable.
3. Support 3W Face Library. The 1:1 matching recognition rate is
above 99.7% , the 1: N matching
recognition rate is above 96.7%@0.1% , the accuracy rate of living
body detection is 98.3%@1% .
Face recognition works in less than a second.
4. Support facial recognition matching while wearing a mask.
5, using industrial-grade binocular wide dynamic camera, night
infrared, LED dual compensation.
6, support the selection of core micro RK3288 four-core processor,
core micro RK3399 six-core processor
and qualcomm Msm8953 eight-core processor, strong performance.
7,Support human body temperature detection, temperature display, 1
meter super temperature detection,
0.2 °c error, support and automatic temperature alarm, second
detection speed, attendance temperature data real-time export.
8, support ID card reader, fingerprint meter, IC card reader,
two-dimensional code card reader and other peripherals to expand.
Support system level, APP offline level, APP + background network
level multiple API docking, documentation, support for secondary
development.
Specification for 8 inch screen face recognition detection
Function | Credit card reader | None (optional IC card reader, ID card, ID card) |
| Face Detection | Supports detection and tracking of multiple people at the same time |
| Face library | Up to 30,000 |
| 1: N face recognition | Support |
| 1: 1 face comparison | Support |
| Stranger detection | Support |
| Identify distance configuration | Support |
| UI interface configuration | Support |
| Upgrade remotely | Support |
| Interface | Interfaces include device management, personnel / photo management, record query, etc. |
| Deployment method | Support public cloud deployment, privatized deployment, LAN use,
stand-alone use |
Infrared thermal imaging module | Temperature detection | Support |
| Temperature detection distance | 1 meter (optimal distance 0.5 meter) |
| Temperature measurement accuracy | ≤ ±0.5℃ |
| Temperature measurement range | 10℃~42℃ |
| Thermal field of view | 32 X 32℃ |
| Visitors' temperatu- re is normal and released directly | Support |
| Abnormal tem- perature alarm | Support (temperature alarm value can be set) |
General parameters | Power | DC12V(±10%) |
| Operating temperature | 0℃~60℃ |
Camera | Resolution | 2 million pixels |
| Type | Binocular wide dynamic camera |
| Aperture | F2.4 |
| Focusing distance | 50-150cm |
| White balance | auto |
| Photo flood light | LED and IR dual photo flood light |
Screen | Size | 8.0 inch IPS LCD screen |
| Resolution | 800×1280 |
| Touch | Not supported (optional support) |
Processor | CPU | RK3288 quad-core (optional RK3399 six-core, MSM8953 eight-core) |
| Storage | EMMC 8G |
Interface | Network module | Ethernet and wireless (WIFI) |
| Audio | 2.5W / 4R speakers |
| USB | 1 USB OTG, 1 USB HOST standard A port |
| Serial communication | 1 RS232 serial port |
| Relay output | 1 door open signal output |
| Wiegand | One Wiegand 26/34 output, one Wiegand 26/34 input |
| Upgrade button | Support Uboot upgrade button |
| Wired network | 1 RJ45 Ethernet socket |
Application:
Face recognition machine can be used with access gates and
attendance for communi- ties, office buildings,
schools, hotels, scenic spots, transporta- tion hubs and other
public service places.
