ARM Rockchip RV1109
Industrial grade materials
support wide temperature
Hardware-level watchdog
Rich expansion interface
Integrate the algorithms
5 inch wall hanging design
Processor | |
OS | Linux |
CPU | RV1109, 1.5GHz |
NPU | 1.2T FLOPS |
Memory | |
Type | Onboard 1GB DDR4 |
Storage | |
Type | Onboard 4GB/8GB EMMC |
Display | |
Size | 5inch, Vertical screen |
Resolution | 720*1280 |
Identify | |
Camera | Binocular camera, 2 million wide dynamic |
Distance | 0.5~1M |
Fill Light Distance | ≤1M |
Identify Patterns | Local identification, support offline, support mask identification |
Recognition Speed | <0.2s |
Accuracy | >99.8% |
User Capacity | 5000~50000 |
Identify Patterns | Support 1:1 |
Anti-counterfeiting | Support |
I/O | |
Extension Ports | Power supply supports 12V input RJ45, Support data upload and download USB2.0(OTG) RS485 Other |
Communication | |
Mode | TCP/IP Support offline mode |
Wireless | |
Type | Support WiFi |
Capture | |
Quantity | 1 |
Audio | |
Speaker | Support |
Power | |
Input | 12V DC |
Dimension | |
Size | 173mm*87mm*19.7mm |
Environment | |
Operating | -20~70 ℃, 90%RH |
Software | |
Access Management | 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 |
Based on Rockchip RV1109, JWIPC launched a 5-inch face recognition attendance device to help enterprises farewell to traditional labor management, card access control, and attendance management, and achieve faster, more convenient and more accurate attendance methods.