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Facial Recognition in Workforce Management: Key Challenges and Considerations

The tides turned swiftly with the onset of the pandemic in early 2020, forcing us to reevaluate our product roadmap amidst the uncertainties that businesses across the globe faced.

Home » Insights » Facial Recognition in Workforce Management: Key Challenges and Considerations

Colin Leatherbarrow


President

Facial recognition has become one of the most significant biometric technologies in workforce management, particularly for time and attendance.

At GT Clocks, our journey with facial recognition began before the pandemic, but accelerated when businesses needed touchless solutions.

Along the way, we’ve learned what works, what doesn’t, and the real-world factors that determine successful deployment.

Why Facial Recognition Matters for Workforce Management

Time is money, and time theft (aka time clock fraud, payroll fraud, and ‘buddy punching’) is still prevalent in many workplaces.

A recent report suggested businesses globally lose around four-and-a-half hours per employee per week to this practice. In many roles, that equates to 10–15% of total working hours, or about 2.2% of payroll costs.

Facial recognition offers a simple, effective way to tackle these issues. Today’s solutions are highly reliable and remove the possibility of buddy punching, ensuring accurate, secure, and touchless clocking.

For organisations looking to reduce fraud and improve efficiency, it’s become an obvious choice.

Our Journey with Facial Recognition Software

In early 2020, GT Clocks was immersed in engineering a robust product roadmap centered on our cutting-edge time clock – the GT8.

Positioned as a flagship design, this timeclock aimed to be a powerhouse of features, ensuring top-notch security and performance.

The success of our initial GT10 Android 6 device propelled us into significant HCM opportunities, especially in the thriving North American market.

Simultaneously, we were laying the groundwork for GT Connect, an innovative SaaS Cloud-based clock management platform designed to encompass middleware, PII/Biometric data compliance, and seamless data distribution.

At that time, our biometric roadmap was in a steady state, fingerprint technology provided by recognized industry leaders such as HiD’s Lumidigm and Suprema SF range were fully integrated into our timeclock solutions, along with advanced on clock capability for 1:N identification into the tens of thousands.

Tried and tested technology, ideal for the HCM industry and adopted as the Defacto solution for biometric identification or verification needs for HCM applications.

However, the tides turned swiftly with the onset of the pandemic in early 2020, forcing us to reevaluate our product roadmap amidst the uncertainties that businesses across the globe faced.

A notable shift during the pandemic was the emphasis on touchless operation, particularly impacting the use of fingerprint technology. This prompted us to revisit facial recognition technology, previously considered less in demand in the HCM market.

Our challenge was clear – develop a facial recognition solution that seamlessly integrated with our existing devices, offered swift and user-friendly operation, ensured the utmost security in handling facial data, and, of course, remained cost-effective.

Developing a Practical Facial Recognition Solution

GT Clocks had, in fact, evaluated facial recognition prior to this, but conversations with our existing customers led us to believe there was insufficient demand in the HCM market.

Fingerprint technology was regarded as mature, reliable, and an accepted solution for both identification and verification applications.

And whilst it is fair to say facial recognition has been around for some time in the market, it is also fair to say it was mainly used in high-end security applications.

Entering a secure facility is one thing, but clocking in 100 people starting a shift where every second is either their time or your money is entirely another.

So that was the challenge we faced, and I wish I had known back then what we have learned as a company since that day.

To set the scene, we already had many thousands of devices in the field, so whatever solution we developed needed to operate where possible with our existing solutions. The operation had to be as fast and easy to use as the established solutions, and importantly, it had to be secure, as we were capturing and processing people’s facial data.

Finally, and most technically challengingly, it had to be cost-effective, as the incremental cost of the technology could not move the overall solution outside of the market price for a timeclock.

After a round of rapid prototyping, we made the strategic decision to leverage the onboard cameras in our GT8 and GT10 clocks. Through the development of sophisticated algorithms, we achieved facial recognition capabilities, enabling both verification (Card or Pin + Face) and identification (Face only).

Beyond the core solution, we incorporated features like Mask Detection and thermal screening, directly addressing the unique demands arising from the pandemic.

The choice of Visible Light and IR Cameras in the GT8 proved to be a good one, especially in diverse lighting conditions.

On a bench, we rapidly developed a demonstrable prototype that was performant and user-friendly, able to recognize a face and match 1:10,000 faces in around a second on our GT8 Clock. So far, so good! Then, the real work started translating that to the real world, making it work for our partners in the many environments it needed to.

It became very quickly apparent that the environment and lighting were key factors, and luckily, the technology choice we had made of Visible Light and IR Cameras in the GT8 turned out to be the right one.

Our GT8 device is equipped with a combined Visible and IR capable camera, augmented with both LED (white) and IR illumination, both of which significantly improve the solution in poor lighting environments.

But technology only takes us so far, and whilst we continue to develop facial recognition software updates and features such as temperature screening, the reality is that the installation and environment really do count.

Also key here is the customer’s perception of what face recognition can do – can it recognize the face of someone wearing a large mask, glasses, and a hat, for example? The simple answer is no.

This is impossible if there is not enough information (or, put another way, points of minutia available for the algorithm to work effectively). It may be possible to verify where it’s a one-to-one match, but it’s generally not suitable for identification.

It’s not just about the technology, as much as it is about effectively communicating the real-world capabilities of facial recognition technology and, importantly, how it can be successfully implemented in differing environmental conditions.

Successful implementation involved addressing various considerations, from compliance and terminal placement to user spacing, lighting conditions, enrollment processes, and even clock cleaning.

Despite the challenges, our facial recognition solution emerged as a powerful and reliable tool, efficiently processing staff in a touchless manner while safeguarding end-user information.

GT Clocks, along with our customers, has learned a huge amount about successfully implementing face recognition, and here are a few of the considerations to think about:

What to consider when implementing a face recognition solution?

Based on our experience, successful implementation depends on more than just the technology itself. Here are some of the key factors to consider:

Facial Recognition Compliance and Attestation

Ensuring compliance and attestation for the use of facial data in time tracking is our top priority, both legally and practically.

We’ve developed on-clock applications and Cloud-based middleware to securely collect and process facial data.

This not only facilitates the clear attestation of the biometric owner but also includes an automatic data destruction feature if the attestation expires or is revoked.

Facial Recognition Terminal Placement

Mounting the terminal at a specific height and considering the surrounding environment may sound straightforward, but it’s crucial.

In cases where two faces are in the camera view, the system needs to intelligently decide which one to use. After all, it’s just a machine!

Providing User-Friendly Space

Providing users with ample space to interact with the device without interruptions from others is key.

Placing the terminal in a narrow, busy space poses challenges and affects the user experience.

The Importance of Lighting for Facial Recognition Technology

Lighting plays a critical role. Consistent lighting enhances performance.

Avoid pointing the face recognition device at strong or flashing light sources, and steer clear of strong backlighting, which reduces contrast and, consequently, the algorithm’s precision.

The optimal solution involves consistent front-facing lighting.

Effective Enrollment Process

The enrollment process is a linchpin, following the fundamental computer principle: garbage in, garbage out.

Staff should be aware that the quality of face presentation during enrollment directly impacts their future experience with the clock. We’ve provided a simple guide for this purpose.

Accommodating Height Differences

Recognizing significant differences in user height is vital. Depending on the diversity of users, more than one clock or alternative verification mechanisms may be necessary.

Clock Maintenance

Clock cleanliness is often underestimated but critical. Smudges and smears on the device’s front glass can compromise the camera’s effectiveness. Sometimes, it’s the simple things that make a significant difference!

Having said all the above, we continue to actively improve the technology and have a busy schedule of planned updates to face recognition over the coming months.

Our philosophy is to continually leverage customer feedback and advancing technology to mistake-proof the solution and improve customer experience, and we continue to invest in making that a reality.

Putting Facial Recognition into Practice

Facial recognition has become a powerful option for workforce management, but successful deployment relies on the right approach.

From compliance and data security to installation and environment, there are many factors that influence performance.

At GT Clocks, we build biometric devices and services designed to integrate seamlessly with workforce management platforms and support partners in delivering reliable, touchless attendance solutions to their clients.

Learn more about our Time Clocks and Time & Attendance Solutions to see how we can support your platform or projects.

Colin Leatherbarrow

Written by Colin Leatherbarrow, President

Colin has over 25 years’ experience within the Security and Identity industry. He began his career as a developer and has had numerous promotions before becoming a Director. In November 2017, he joined GT Clocks as a Technical Director, before coming the Chief Technology Officer and in November 2022 was deservedly promoted to President. 

Expertise

Some of Colin’s greatest achievements include the introduction of a deep lean approach to operating the business and building a culture with a real focus on quality and compliance, such as introducing ISO27001. On the product side then undoubtedly driving the development of key new products such as GT4, GT8 and GT Connect which are all at the core of our growth strategy.

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