ARM Rockchip RV1109
Industrial grade materials
support wide temperature
Hardware-level watchdog
Rich expansion interface
Integrate the algorithms
5 inch wall hanging design
Linux
RV1109, 1.5GHz
1.2T FLOPS
Onboard 1GB DDR4
Onboard 4GB/8GB EMMC
5inch, Vertical screen
720*1280
Binocular camera, 2 million wide dynamic
0.5~1M
≤1M
Local identification, support offline, support mask identification
<0.2s
>99.8%
5000~50000
Support 1:1
Support
Power supply supports 12V input
RJ45, Support data upload and download
USB2.0(OTG)
RS485
Other
TCP/IP Support offline mode
Support WiFi
1
Support
12V DC
173mm*87mm*19.7mm
-20~70 ℃, 90%RH
Support batch adding, updating, deleting and viewing of personnel library
Support network distribution and local configuration from the management server
Support batch registration of management page
Support attendance record query
Support docking with third-party attendance management platform
It adopts the Rockchip RV1109 AI chip, which contains 1.2T computing power NPU, and the face recognition is more accurate and faster.
Infrared living body recognition technology, living body anti-counterfeiting, resisting image attacks.
Recognition rate < 0.2 seconds, millisecond rate, fast recognition, refusal to wait.
HDR two-frame synthesis, still clearly visible under backlight; brand module sensor, supports wide dynamic; expert-level ISP adjustment, easy to deal with complex lighting scenes.
The fuselage is surrounded by white lights, which automatically fill light for face recognition.
Support face, IC card, password, WeChat mini program, multiple recognition methods.
Real voice prompts, and accurate clock in.
Support local registration, cloud synchronization of face data, batch import, and USB import information.
Automatically generate attendance reports and data, one-click export, and mobile APP query reports to achieve the ultimate management experience.
Support enterprise version platform binding.
Model | Describe |
A019W-01A | RV1109/1GB/ 4GB/ WIFI/ |
A019W-01B | RV1109/1GB/ 8GB/ WIFI/IC Card |