Building Three Biometric Applications to Demonstrate Personalized Air Travel in Four Weeks
The client needed to demonstrate, not just describe, how biometric technology could personalize the passenger journey.
APEX needed to demonstrate what biometric personalization could look like across the passenger journey, not simply explain the concept. With four weeks before the event, AccelOne designed and built three interactive applications that worked together as a single, sequential experience, taking visitors from biometric registration to automatic recognition and a fully personalized 360° travel simulation.
The experience combined iris and facial recognition, voice control, head tracking, and immersive audio/visual technology on a privacy-first architecture. Anonymized biometric data allowed visitors to be recognized across stations without retaining personally identifiable information, making the technology both tangible and responsible.
Delivered and installed just hours before the event opened, the three applications gave airline and technology leaders a working demonstration of how biometric personalization could transform the passenger journey across multiple touchpoints.
Challenge
The Airline Passenger Experience Association (APEX) hosts the world's largest aviation passenger experience event. It is the primary showcase for technology that improves the passenger journey, from check-in and boarding to in-flight entertainment and cabin design. More than 100 airlines, 150+ technology vendors, and thousands of industry professionals attend.
The client needed to demonstrate, not just describe, how biometric technology could personalize the passenger journey. This audience does not evaluate concepts. Airlines and vendors at APEX evaluate whether technology is real, deployable, and capable of delivering what it promises. The event date was fixed, and all three demonstration stations had to be installed and operational hours before doors opened. AccelOne had four weeks to build them.
Search and tagging had become a serious bottleneck
With millions of videos, search and tagging had become a serious bottleneck.
Manual tagging didn't scale
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Manual tagging didn't scale
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Manual tagging didn't scale
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Manual tagging didn't scale
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Engineering Highlights
AccelOne's team built the three applications in sequence, one per station. Each station reused the biometric data captured by the one before it.
Station 1: Biometric registration.
Visitors answered a few questions about travel style and content interests. The station then captured their iris and facial data and saved everything as an anonymized profile.
Station 2: Biometric education.
The station recognized each visitor automatically through iris and facial recognition, with no action needed, and greeted them by name. It then showed, step by step, how iris, facial, fingerprint, and voice recognition work.
Station 3: 360° personalized experience.
Large screens surrounded the visitor with 3D video and surround sound, matched to their profile (beach, city, jungle, rain). Head tracking kept the content in front of the visitor, voice commands controlled volume and pause, and live translation showed how crews could talk with passengers in multiple languages.
A hybrid AI video intelligence pipeline built for scale
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Key Impact: Cost Reduction by Three Orders of Magnitude
One of the most significant achievements of this engagement was the reduction of AI processing costs by three orders of magnitude.
By combining on-premises transcription models with selective use of commercial APIs, AccelOne designed a hybrid architecture that:
This approach made the system not only scalable and secure but also economically viable at a massive scale, unlocking growth for Kurator without cost bottlenecks.
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The result was not just faster delivery, but stronger alignment around how
Monetate builds and evolves its platform.
Devices:
All three station applications deployed on Microsoft Surface Pro
Biometric Hardware:
Iris scanning and facial recognition cameras, integrated via device APIs
Data Transfer:
SOAP web services over Ethernet between biometric devices and applications
Database:
A custom back end storing anonymized biometric and preference records with cross-station access
Display:
Multiple large screens in a 360° arrangement with head tracking, voice control, and Dolby surround sound
The key architectural decision was anonymizing every database record. AccelOne's design enabled cross-station recognition without retaining personally identifiable information. That protected visitor privacy while multiple third-party stations accessed the data throughout the exhibit.
Solution
AccelOne designed and built three interactive biometric applications, each powering one station in a sequential exhibit. Visitors moved through the stations in order, experiencing a complete demonstration of biometric personalization. The applications were built to:
Register Visitors Biometrically: Capture iris and facial data alongside travel and content preferences to create a personalized visitor profile
SOLUTION 01
Recognize Visitors Automatically: Identify visitors on approach at the next station, with no action required from the visitor
SOLUTION 02
Make the Technology Legible: Show how each modality captures data, builds a template, and enables recognition
SOLUTION 03
Personalize an Immersive Experience: Deliver a 360° audio/visual travel simulation driven by each visitor's stored preferences
SOLUTION 04
The solution integrated five biometric and interaction technologies on a lightweight, privacy-first architecture:
Open-source intelligence, cloud applied selectively
The pipeline combines open-source models with selective cloud services, running primarily on on-prem GPU infrastructure to deliver production-grade accuracy while avoiding cost, lock-in, and unpredictability.
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Open SourceThis hybrid approach delivers production-grade accuracy while avoiding the cost, lock-in, and unpredictability of cloud-only architectures — making large-scale video intelligence economically sustainable at 2.5M+ video scale.
A Look Inside the Build
A searchable, time-addressable catalogue spanning millions of hours
What was previously locked behind sparse tagging and manual review is now discoverable at scale — while balancing cost efficiency with production-grade reliability.
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Hours per batch of manual tagging
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Hours per batch of manual tagging
Minutes of spot-check per batch
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The catalogue is now discoverable by:
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Expanding the Partnership
As the early AI and UI initiatives gained traction, the collaboration expanded. AccelOne is now contributing not only to delivery, but to roadmap planning across AI, machine learning, and user experience initiatives.
Austin describes the ongoing dialogue as productive and forward-looking:
"As we work through these initial projects, having the teams weigh in on what the roadmap should look like next has been very productive. We've gained a great set of partners and feedback voices inside of AccelOne."
The partnership now operates at two levels:
- Accelerating current initiatives
- Accelerating current initiatives
For a platform operating at this level of complexity, that alignment matters.
A Model Built on Leverage and Trust
Monetate's goal was simple: Accelerate AI and UI initiatives without slowing the organization down.
What ultimately emerged was a partnership that increased leverage across the entire business.
Senior engineers were embedded quickly. Roadmaps moved faster. AI became part of daily workflows. Collaboration tightened across teams and time zones.
The engagement reduced friction and increased output.
And the relationship continues to expand, with AccelOne contributing to long-term direction beyond the initial delivery.
At this level of complexity, sustainable acceleration is not about adding more people. It's about embedding partners who raise the standard of how the work gets done.
Results & Impact
Business Impact
The demonstration replaced a slide presentation with a working system. Visitors were recognized, their preferences were recalled, and a personalized experience was delivered without friction. For an audience of airline and vendor decision-makers, that is the proof that matters.
The applications made the future passenger journey concrete: travelers recognized at each touchpoint, with preferences surfaced automatically and no documents or manual identification required. The client put biometric personalization in front of the people who decide what ends up in airlines globally, on a fixed date, with fully functional applications.
Strategic Value
The engagement shows how a privacy-first architecture makes biometric personalization viable. Anonymized records allowed recognition across stations and third-party systems without storing personally identifiable information. The same principle applies to the touchpoints the demonstration modeled: check-in, gate, boarding, and in-flight.
It also reflects how AccelOne delivers under a hard deadline: speed, precision, and creativity with limited time and resources, sequential delivery where each phase built on the last, and on-site support through the event itself.
Frequently asked questions
Real outcomes, measurable impact
From FinTech to Government and Enterprise, we help organizations achieve faster delivery, higher quality, and sustainable innovation.
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