Privacy & PDPA Compliance
Privacy is especially important in Singapore. Trakomatic’s facial recognition solution is designed to support PDPA compliance by analysing facial data without retaining identifiable images.
Instead of storing face images, the system converts visual input into anonymised insights and demographic data. This allows businesses to benefit from AI face analytics while reducing privacy risks and respecting visitor trust.
Benefits
With the right face recognition solution, businesses can improve conversion rates, personalise customer experiences, and make decisions based on real visitor data. It helps teams optimise marketing, improve service timing, reduce missed opportunities, and deliver more relevant content.
Ready to understand your visitors better? Book a demo with Trakomatic today.
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Improve conversion rates with targeted experiences
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Enhance customer engagement
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Make data-driven business decisions
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Reduce manual tracking efforts
Use Cases
Trakomatic’s facial recognition software can support:

Shopping malls measuring visitor demographics and movement
Shopping malls can use Trakomatic’s people counting, demographic measurement, and movement analytics to understand who visits the mall, where they enter, how they move between zones, and which areas attract the most attention.
The platform supports mall operators in evaluating marketing campaign effectiveness, studying tenant impact, and improving leasing strategies using real visitor data. This gives malls a clearer view of visitor behavior, helping them optimize space planning, tenant mix, event areas, and customer experience.
Demographic Measurement & Audience Insights
Demographic measurement gives brands a practical way to understand their real-world audience, this is far more accurate and updated compared to CRM/loyalty app system. Through age and gender estimation, businesses can identify which customer segments are engaging with a store, campaign, display, or event.
These insights support demographic profiling without relying on guesswork. For example, a mall can measure audience response to a campaign, while a retailer can compare visitor profiles across outlets.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
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Shopper Tracking & Measurement
Track visitor engagement, dwell time, and repeat visits.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
Facial Recognition for Shopper Tracking
Facial recognition shopper tracking helps retailers and mall operators understand visitor journeys more accurately. It supports insights such as demographic profiles, dwell time, peak periods, and customer movement patterns.
For retail facial recognition, this means better decisions around store layout, product placement, campaign timing, and staffing. When combined with the product target group and nearby zone demographic catchment, it delivers deeper understanding if there is any mismatch in the product offering versus the walk in demographic profiles.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
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Shopper Tracking & Measurement
Track visitor engagement, dwell time, and repeat visits.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
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Attendance Tracking
Automate attendance monitoring with facial recognition technology.
How Our AI Facial Recognition Works
Trakomatic’s AI face analytics detects facial attributes from video feeds and converts them into structured data without retaining the thumbnails or video footage. This can include estimated age group, gender group, expression, and visitor profile segments.
The system can work with existing CCTV infrastructure, helping businesses adopt intelligent analytics without major hardware changes. Instead of relying only on footfall counts, teams can understand the audience behind the numbers.

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Detect faces using camera input
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Analyze facial features using AI models
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Extract anonymized data
(age, gender, behavior)
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Deliver insights via real-time dashboard
What is Facial Recognition Software?
Facial recognition software uses AI to detect and classify human faces from camera feeds. For businesses, it goes beyond security. A modern facial recognition solution can help identify visitor profiles, understand audience behaviour, improve customer experience, and support smarter operational decisions.
Trakomatic’s face recognition solution helps physical spaces turn anonymous visitor interactions into useful insights. From retail stores and malls to events and smart buildings, it gives teams a clearer view of who is visiting, when they arrive, and how they engage with the environment.


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