Facial Recognition in Workstem system support every employee clock in/out without using smartphone, and this method can avoid cheating.
With just a few simple steps, you can successfully set up facial recognition.
Download WorkFace App from Google Play Store on the Android device
Add clock in/out device
Upload photos of employees
Synchronise face database
This guide will introduce the above steps in detail.
Step 1
Download WorkFace from Workstem, and you are able to check Login the App with Workstem account > click [Setting] > check [Current Device ID]
(Note: After cleaning up the background apps of the Android system, you need to log in WorkFace App again. )
Step 2
Add new device by clicking [Company] > [Device] > [+ New Device]
For [Device Type], please choose "FACE".
The [Device Name] will be displayed in clock-in /out record to show you which device is used for that clock data.
Input the [Current Device ID] as seen in Workface App.
[Restrict clock in/out to physical location]:
Yes: if you have multiple locations, then you can restrict this device to clock in/out in a specific location
No: it means this device is not restricted to a certain location
Step 3
You can upload portrait photos of employees by clicking [People] > click [+] on the upper right corner of every employee
Step 4
You are able to synchronise the photo database by clicking [Company] > [Company] > [Synchronous]
After finishing the above steps, employees can use WorkFace App to clock in by face recognition on the designated devices.
There are 2 buttons in the page of clock in/out: One is for switching clock in/out mode. By clicking this button, employees can switch clock in/out mode or automatically identification mode. The other button is used for turning on or turning off clock in/out.
Similar to other clock in/out methods, we can check attendance data by clicking [Attendance] > [Attendance data]. You can clearly know what device your employees were using for clock in/out. The status of employees' attendance which is late, early leave, or normal can be detected in the system based on attendance rules and roster details .
