WR503 binocular face recognition terminal adopts wide dynamic high-definition face recognition camera, which can adapt to harsh environments such as strong light and weak light, and has the characteristics of fast recognition speed, high accuracy, and large list library capacity. It can be used with application management systems such as face construction site real-name management system, face access control and attendance management system, visitor management system, etc. It is perfectly suitable for complex application scenarios such as communities, campuses, hospitals, scenic spots, hotels, shopping malls, corporate office buildings, public service places, construction sites, etc. that require temperature monitoring, identity recognition and access control.
| Power supply | 12V 2A |
| Operating temperature | -20℃-60℃ |
| Storage temperature | -20℃-60℃ |
| Power consumption | 10W（MAX） |
| Installation | Wall Mounting |
| Device size | 175*83*15mm |
| Protection level | IP54 |
WR503 binocular face recognition terminal adopts wide dynamic high-definition face recognition camera, which can adapt to harsh environments such as strong light and weak light, and has the characteristics of fast recognition speed, high accuracy, and large list library capacity. It can be used with application management systems such as face construction site real-name management system, face access control and attendance management system, visitor management system, etc. It is perfectly suitable for complex application scenarios such as communities, campuses, hospitals, scenic spots, hotels, shopping malls, corporate office buildings, public service places, construction sites, etc. that require temperature monitoring, identity recognition and access control.
| Screen: | |
| Size | 5.0-inch IPS LCD screen |
| Resolution | 480×854 |
| Touchscreen | support |
| Configuration: | |
| CPU | Single-Core CPU |
| NPU | Independent computing power 0.8T |
| Operating system | Linux |
| Storage capacity | EMMC 8GB |
| Network Module | Ethernet, wireless (Wi-Fi), 4G network (optional) |
| Audio | 2W/8Ω |
| Card reader | IC/ID card reader (optional) |
| System functions: | |
| Face database | 5000 faces |
| Number of passwords | 5000 |
| 1:N face recognition | Support |
| Liveness detection | Support |
| Stranger detection | Support |
| Recognition distance | 50-150cm |
| Recognition speed | <1 second |
| Recognition rate | 99.99% |
| UI interface configuration | Support |
| Device remote upgrade | Support |
| API interface | Equipment management, personnel/photo management, communication records, system settings |
| Deployment method | Support public cloud deployment, private deployment, LAN/stand-alone use |
| Camera: | |
| Resolution | 100w pixels |
| Type | Binocular camera |
| Aperture | F2.2 |
| Focus distance | 50-150cm |
| White balance | Automatic |
| Fill light | LED/infrared dual fill light |
 |
 |
 |
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Library/dormitory door |
Site/factory |
Campus entrance and exit |
 |
 |
 |
|
Scenic area entrance and exit |
Park commuting attendance |
Office building access control |
WR503 binocular face recognition terminal adopts wide dynamic high-definition face recognition camera, which can adapt to harsh environments such as strong light and weak light, and has the characteristics of fast recognition speed, high accuracy, and large list library capacity. It can be used with application management systems such as face construction site real-name management system, face access control and attendance management system, visitor management system, etc. It is perfectly suitable for complex application scenarios such as communities, campuses, hospitals, scenic spots, hotels, shopping malls, corporate office buildings, public service places, construction sites, etc. that require temperature monitoring, identity recognition and access control.
| Screen: | |
| Size | 5.0-inch IPS LCD screen |
| Resolution | 480×854 |
| Touchscreen | support |
| Configuration: | |
| CPU | Single-Core CPU |
| NPU | Independent computing power 0.8T |
| Operating system | Linux |
| Storage capacity | EMMC 8GB |
| Network Module | Ethernet, wireless (Wi-Fi), 4G network (optional) |
| Audio | 2W/8Ω |
| Card reader | IC/ID card reader (optional) |
| System functions: | |
| Face database | 5000 faces |
| Number of passwords | 5000 |
| 1:N face recognition | Support |
| Liveness detection | Support |
| Stranger detection | Support |
| Recognition distance | 50-150cm |
| Recognition speed | <1 second |
| Recognition rate | 99.99% |
| UI interface configuration | Support |
| Device remote upgrade | Support |
| API interface | Equipment management, personnel/photo management, communication records, system settings |
| Deployment method | Support public cloud deployment, private deployment, LAN/stand-alone use |
| Camera: | |
| Resolution | 100w pixels |
| Type | Binocular camera |
| Aperture | F2.2 |
| Focus distance | 50-150cm |
| White balance | Automatic |
| Fill light | LED/infrared dual fill light |
|
|
|
|
Library/dormitory door |
Site/factory |
Campus entrance and exit |
|
|
|
|
Scenic area entrance and exit |
Park commuting attendance |
Office building access control |
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Uniwin-Global takes pride in deliveringcomprehensive solutions to strategicemerging
Please read on, stay posted, subscribe, andwe welcome you to tell us what you think.
Please read on, stay posted, subscribe, andwe welcome you to tell us what you think.
If you are interested in our products and want to know more details,please leave a message here,we will reply you as soon as possible.
