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Attendance Access Control A019

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.

ARM Rockchip RV1109
Industrial grade materials
support wide temperature
Hardware-level watchdog
Rich expansion interface
Integrate the algorithms
5 inch wall hanging design

Specifications Highlights Ordering Information

Specifications of Attendance Access Control A019

Processor

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

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

Highlights of Attendance access control A019

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.