K801 face capture recognition machine is a high performance, high reliability face recognition products. Relying on the deep learning algorithm to expand the number of face databases, with higher accuracy, it supports the 1:1 comparison between the captured face photos and the human face in the ID card chip, the 1:n face comparison between the face and the local database, and supports the face, ID card fingerprint, which is mainly used in traffic entrance and exit, border inspection entrance, education examination, hotel registration, building access, safe community, financial outlets and other places 。
Product Features
l Using three-dimensional modeling, industrial-grade design, stable performance, elegant and generous, smooth lines
l Industrial-grade master control,
l Industrial-grade camera, 200W binocular wide dynamic camera
l Adopt 8 inch full HD 800*1280 bright display
l Built-in auto-exposure starlight-level ultra-low-light camera to ensure the best face image, which is more suitable for dark-lighted environment and space applications, supports a wide dynamic range of 120dB, and is suitable for monitoring in a backlight environment
l Support comparison mode: face,
l Use deep learning algorithms to support more face databases and higher accuracy
l Support the stand-alone operation comparison in the disconnected mode, and you can verify the face data on the local machine, and then output voice prompts and interface text display
l Support management, query, set device parameters, data import and export after local login
l Support serial port communication to access access control equipment to realize authority management
l Support RS485, RS232, Wiegand input
l Provide DC12V power supply
l It can be applied to the entrances and exits of bus stations, railway stations, airports, public security check-in entrances, building entrances and exits, hotel registration, conference security, entrance and exit of examination rooms, scenic spots, etc.
Product specifications
| Hardware | Describe | |
| Host | System | Android 7.1 |
| CPU | Ruixin micro rk3288k quad core cortex-a17, the highest frequency up to 1.8GHz, industrial grade master control | |
| Memory | 2GB DDR3 | |
| Hard disk | 8GB EMMC | |
| Camera | Sensor | 1 / 1.8 Inch star level progressive scan 2.1 megapixel CMOS image sensor |
| Wide dynamic | ≥120dB | |
| Camera lens | 6mm | |
| Display | Size | 8 inch / full view / highlight |
| Resolving power | 800 * 1280 vertical screen | |
| Screen elevation | 0 ~ 30 degree adjustable shaft | |
| Performance | Describe | |
| Identification time | 300ms | |
| Identification mode | Face | |
| Face verification accuracy | ≥99.99% | |
| Pass rate | 99% | |
| Error rate | 0.01% | |
| Face recognition distance | 0.3M～2.5M | |
| Face capacity | No upper limit, 10000 is recommended | |
| In vivo detection | Support | |
| Batch input | Support | |
| Management platform | Support, windows B / S architecture | |
| Interface characteristics | Describe | |
| Relay output | One way, three ends, normally open, normally closed | |
| RS485 | 1 way | |
| RS232 | One channel RS232 with 5V level conversion | |
| Wiegand | 1 set of inputs, supporting Wigan 26 and Wigan 34 (optional) | |
| Network | 1 RJ45 10m / 100M adaptive Ethernet | |
| USB | 1-way USB OTG (default host), 1-way host | |
| White fill lamp | Built in white fill lamp (130mA) | |
| Infrared fill light | Camera with infrared fill light | |
| Horn | Output 8 Ω 1W | |
| General features | Describe | |
| Power Supply | DC 12V | |
| Dimensions (W x H x T) | 124x234x20 mm | |
| Weight | 1.5KG | |
| Work environment | -20℃ - +60℃，≤90%RH | |
| Protection level | IP66 | |
| Installation mode | Wall mounted or vertical mounted | |
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