*Note* If you are interested in utilizing the BuzzTM app, please contact your TempWorks Account Manager.
What is Facial Recognition?
Buzz mobile app allows your employees to clock in and out from their phone while on a job site. To help ensure your employee is clocking in at work, you can choose to utilize facial recognition to verify the employees identity when using the Mobile Time Punching functions. If you haven't set up Buzz to work with TimeClock punches yet, see Buzz - Setting Up Mobile Time Punching.
Setting Up Facial Recognition
*Note* Before you can utilize Facial Recognition Punching, you must first work with your Account Manager to ensure the Facial Recognition is available on your Buzz App. You must be a WebCenter admin to complete this setup process.
Turning on the Face Verification Configuration
In order for employees to utilize facial recognition for punching, you must first enable the configuration in WebCenter.
- Navigate to the WebCenter Admin portal
- Select Config tab
- Select the TimeClock Category
- Find the Enable Face Verification configuration & select Show Rules
- Create a rule to enable for a specific Customer or Department
- For more information on creating rules see Administration: Intro to Configurations.
Creating the Employee's Facial Recognition Profile
Each employee that you want to utilize Facial Recognition Punching will need to set up their Facial Verification Profile. The verification profile is set up via their device to ensure they can clock in via Facial Recognition.
To enable a user to create their profile, navigate to the employee's record in Beyond. Navigate to their Web User Account Details (Via the charm) and select the 'Create Facial Verification Profile' action in the menu beside the Buzz app web user product.
A new window opens. Select Yes, to prompt the employee to setup their Face Verification Profile.
The employee will be prompted to set up their profile within the app. The setup process takes approximately 5 minutes to complete. For instructions on how to set up the profile, see Facial Recognition Tips & Tricks.