Veovo has been chosen by Toronto Pearson International Airport to roll out LiDAR-powered passenger flow intelligence throughout its terminals, giving one of North America's busiest hub airports access to real-time data on queue lengths and wait times.
The contract sits within Pearson LIFT, Toronto Pearson's long-term airport modernisation programme. The choice of sensor-based flow intelligence signals that the airport is moving away from manual observation and towards continuous, automated measurement of how passengers progress through its facilities.
What the Veovo System Does
The solution pairs LiDAR sensors with advanced analytics to track passenger movement without capturing personal images. According to Future Travel Experience, the sensors can distinguish between passengers, staff, children and objects, which allows the data to reflect true passenger counts rather than raw headcounts that include non-travellers.
Covering everything from queue lengths and wait times to passenger throughput, processing performance and service levels, the platform provides real-time figures alongside historical analysis and predictive insights. It also supports open integration, meaning its outputs can be fed directly into other airport systems.
One practical feature is that the system adapts automatically to shifting queue configurations without requiring ongoing manual adjustment. Queues at security and border control rarely hold a fixed shape, so removing the need for staff to reconfigure the monitoring setup is a meaningful operational gain.
Where It Will Be Deployed at Toronto Pearson
The installation will cover key security and border control processing areas at the airport. Those are the two points in a journey where congestion most directly affects passenger experience and where accurate dwell-time data has the greatest operational value.
Brian Tossan is Chief Technology Officer at Toronto Pearson, and the project falls under his remit as part of the broader Pearson LIFT modernisation push. The framing of this deployment within a named, long-term programme suggests it is intended as infrastructure rather than a pilot.
Veovo's Track Record
Veovo's Passenger Predictability solution is already deployed at more than 90 airports worldwide, which means Toronto Pearson is adopting a mature product with a broad reference base rather than taking a chance on an unproven technology.
James Williamson, Chief Executive Officer of Veovo, described the significance of the partnership: "Toronto Pearson is one of North America's leading airports, and this partnership will give them a much deeper understanding of how passengers move through their terminals."
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What It Means for Passengers
Better data does not automatically mean shorter queues, but it gives the airport the tools to direct staffing and resources to where pressure is building before it becomes a bottleneck. The real-time visibility combined with predictive analytics means operational managers can act on forecasts rather than reacting once queues have already formed.
Privacy is addressed through the sensor technology itself. Because LiDAR measures shape and movement rather than capturing images, the system collects no personal data in any conventional sense, which removes one of the more common objections to passenger tracking technology in public spaces.
The Bottom Line
Toronto Pearson's selection of Veovo places it among a growing number of major airports treating flow intelligence as core infrastructure rather than an optional add-on. The scope of the deployment, covering security and border control within a named modernisation programme, points to a serious, sustained commitment rather than a trial. Whether the system delivers measurable reductions in wait times will become clear as Pearson LIFT progresses.
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