Outdoor 8 inch Facial recognization infrerad temperature detector
access control reader
CA021 capturing face recognition machine is a high performance,
high reliability recognition products, relying on deep learning
algorithm, Optimized for different color depths race, recognition
speed, High accuracy, Support for face recognition, witnesses
comparison, a single person card verification or various
combinations of authentication, based on face recognition.
Do body temperature measurement can be implemented quickly, with
the use of personnel access, personnel access control may be
implemented, used for Factory, community, corporate, financial, and
other personnel in and out of places
Characteristics
⚫ Use 3D modeling, industrial design, stable performance, elegant,
smooth lines, waterproof design, outdoor use
⚫ 8-inch full HD Highlight LCD Touch Screen Display software
interface and operating tips, face framing display, real-time
detection face maximum, user-friendly calibration
⚫ Internal Star light Wide dynamic-level camera. Based on an
automatic exposure technique. Ensure optimal face image suitable
for Light, backlight, light dark light environment and other
complex
⚫ Built-in wide dynamic infrared camera (optional)
⚫ Depth-learning algorithms, support 20,000Face database,
Recognition speed, High accuracy
⚫ Monocular visible living algorithms, support for photos, videos,
anti-fake
⚫ Support for multiple Recognition Mode: face, Witnesses, Face +
card, smart (face, ID card/Face card + automatic switching)
⚫ Device supports Issued import network platform or USB card, face
data, support for stand-alone operation
⚫ The device supports upload data network, the device can be
uploaded in real time and compare the results to capture photos to
save the platform to support data off the network Resume
⚫ Can be made locally or imported identification number or face
blacklist, a blacklist by the lower platform than locally after
uploading the results to the platform, police ID card information
can also be docking library blacklist comparison, in order to
achieve control blacklist
⚫ The device supports local logon background menu management, query
and set device parameters, by disk data import and export data
⚫ Device Support USB interface external ID card reader (Optional
built-in ID card reader)
⚫ Authentication result output device fixed voice prompts
⚫ Relay switch output device support, through supporting
international standard Wiegand protocol (W26 W34) or an external
host access control reader Wiegand
⚫ Support wearing a mask recognition
⚫ Support external infrared temperature measurement module,
temperature measurement accuracy: Plus or minus 0.3 degrees Celsius
Technical parameters:
| Model | CA-MC021 |
| Hardware | Description |
| Host computer | system | Android 5.1 |
| CPU | Rock chip RK3288KQuad-CoreCortex-A17, clocked at up to 1.8GHz,
Industrial master |
| RAM | 2GB DDR3 |
| hard disk | 8GB EMMC |
| camera | RGB | 1 / 1.8inch SONY IMX385 Super Star Class Progressive scan
2.1million pixel CMOS image sensor |
| Infrared (Optional) | 1 / 2.8inch WDR progressive scan130Megapixel CMOS image sensor, 3
850nmInfrared lights |
|
| Wide Dynamic | ≥ RGB camera120dB | Infrared cameras ≥100dB |
| Shot | 6mm/ RGB | 6mm/Infrared |
| Display | size | 8 inches/Full view/Highlight |
|
| Resolution | 800 * 1280 Portrait |
| Screen elevation | 0 to 30 degrees adjustable shaft |
| touch screen | stand by |
| Performance | Description |
| Recognition time | ≤0.6S (Twenty thousand people face database) |
| Of identification | Resident Identity Card, Mi-fare/ NFC card, face |
| Face verify the accuracyrate | ≥95% |
| Passing rate | 99% |
| Error rate | 0.01% |
| Facial recognition distance | 0.3M ~ 2.5M |
| Face Capacity | No limit, it is recommended 20000 |
| Algorithm suitable for race | Full race (yellow / black / white / Latin, etc.) |
| Vivo detection | Support, monocular visible in vivo discern |
