Get a Complimentary Workforce Realignment Feedback Session
What is your 30-day workforce management plan?
As you start to plan for the weeks and months ahead, we would like to help by offering a complimentary Workforce Realignment Feedback Session with our HCM Analytics team.
During this session, our HCM Analytics team will:
- Discuss your current plans for workforce changes to manage the next 30 to 90 days and provide feedback on potential risks and opportunities
- Identify targeted areas where you could potentially reduce your labor costs while minimizing long-term damage
- Suggest key metrics for you to track so you can forecast labor costs better and make earlier interventions
Request your complimentary Workforce Realignment Feedback Session with our HCM Analytics Team.
Introducing: Mobile Punch Time Tracking App Version 5.1 with Facial Recognition
Introducing: Mobile Punch Time Tracking App Version 5.1 with Facial Recognition
New Facial Recognition Technology Helps You Eliminate Time Theft
EPAY Systems continues to invest in our Mobile PunchTM time tracking application, as more companies look for ways to crack down on time theft and cut unnecessary labor expenses. We have released a new version of our time tracking mobile app, which includes cutting-edge facial recognition technology.
Mobile Punch version 5.1 provides a configurable option that allows for a foolproof two-factor authentication process using facial recognition technology in addition to a user’s login credentials.
Authenticating users with facial recognition technology helps eliminate buddy punching by ensuring the right employee is clocking in and out for work. This increased time tracking accuracy can save companies from paying employees for time that has not actually been worked.
About the Facial Recognition Feature
The new face recognition feature in Mobile Punch matches a person’s unique facial characteristics for the purposes of identification or authentication. Utilizing a smartphone’s camera, the new face recognition feature detects faces in images, quantifies their features, and then matches them against the stored templates in the database.
How Face Recognition in Mobile Punch 5.1 Works
After an employee logs in to the Mobile Punch time tracking app, they will be prompted to go through the facial registration process. This involves capturing the employee’s photo three times and saving the images within the app. Upon successful registration, the app will generate one or more minutia files (or templates); then the employee will be navigated to the home screen where they can complete their clock in or out process.
In cases where registration is unsuccessful, the employee will be navigated to the home screen with restricted access to the menu options. The app will then report a failed registration process in EPAY Time and Labor.
After a successful login and registration, an employee’s minutiae will be downloaded to the app. The downloaded employee minutiae file is cached locally to be used for future login attempts and also in offline mode.
Upon future login attempts, the employee will be prompted to go through the facial verification process after logging in with their username and password. On successful facial verification, the employee will be navigated to the home screen to complete the clock in/out process.
Request a Demo Today
See for yourself! Request a demonstration of Mobile Punch 5.1 today!
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