AI-321
The Face Recognition Temperature Monitor effectively combines traditional infrared temperature measurement with AI face recognition. It only requires the user to stand in front of the device to quickly complete user identification and temperature measurement. Once the temperature exceeds the normal value, it will alarm and prohibit passage. In order to be suitable for more scenarios, this device supports 3 usage modes, and is equipped with different platform software for more powerful functions. Features 1) Access Control & Attendance for Company | Equipped with Attendance & Access Control Management Platform Software for Company. 2) Access Control & Attendance for School | Equipped with Attendance & Access Control Management Platform for School. 3) Quick Temperature Check | Equipped with Temperature Cloud APP to monitor abnormal data and snapshot. (Only temperature detection for scenes that do not require face recognition)
The Face Recognition Temperature Monitor effectively combines traditional infrared temperature measurement with AI face recognition. It only requires the user to stand in front of the device to quickly complete user identification and temperature measurement. Once the temperature exceeds the normal value, it will alarm and prohibit passage. In order to be suitable for more scenarios, this device supports 3 usage modes, and is equipped with different platform software for more powerful functions.
Features
1) Access Control & Attendance for Company | Equipped with Attendance & Access Control Management Platform Software for Company.
2) Access Control & Attendance for School | Equipped with Attendance & Access Control Management Platform for School.
3) Quick Temperature Check | Equipped with Temperature Cloud APP to monitor abnormal data and snapshot. (Only temperature detection for scenes that do not require face recognition).
| Specifications | |
| AI-321 | |
| Single point infrared temperature measurement | |
| Temperature measurement module parameters | |
| Measuring range | 32℃~45℃ / 89.6°F~113°F |
| Measurement accuracy | ±0.5℃ / ±0.9℉ |
| Measuring distance | 20~50cm |
| Measure time | 0.5s |
| System hardware parameters | |
| Processor | 4-core-A7 |
| Operating system | Android 8.1 |
| Memory size | 1GB LPDDR3 |
| Storage size | 16GB EMMC |
| Camera parameters | |
| Resolution | Color 200W(1920·1080) Infrared 130w(1280*960) |
| Imaging device | Color ARO230 Infrared ARO130 |
| Lens | 2.9mm |
| Recognize height | 1m~2m |
| Recognition distance | 0.3m~1.2m |
| Angle of view | Horizontal: 89° Vertical: 57° Diagonal: 98° |
| Face angle | ±30° |
| Minimum illumination | Color ≥ 0.01LUX at F1.2 Infrared: ≥ 0.01LUX at F1.2 |
| Signal to noise ratio | Color ≥ 41dB Infrared: ≥ 44dB |
| Wide dynamic range | Color ≤ 105dB Infrared: ≤83.5dB |
| Interface parameters | |
| Network interface | 1 RJ45 10M/100M adaptive Ethernet port |
| USB interface | 1 USB interface |
| Wireless connection | WIFI+BLE4.0 |
| RS485 interface | 1 RS485 interface |
| Relay interface | 1 relay interface |
| Fire alarm door check button | 1 fire alarm door check button |
| 10 reserved | 1 11pin terminal |
| Power supply | DV12V/3A |
| Smart functions | |
| Face recognition Capacity | 50000 people |
| Offline record | 100000 |
| Recognition accuracy | 99.83% |
| Face liveness detection | Support binocular near infrared live detection |
| Face detection | 1080P@25fps,support face detection tracking,optimization |
| Face recognition speed | About 200ms |
| Face liveness detection speed | About 400ms |
| Occlusion adaptation | Support wearing glasses,wigs, makeup,etc.,wearing masks |
| Basic parameters | |
| Screen size | 7 inch |
| Product size (Length*width* height) | 268*135*45(mm) |
| Operation humidity | 10%~90% |
| Operation temperature | 10~40℃/50~104℉ |
