Toronto Pearson International Airport, in Ontario, Canada, is the country’s largest and busiest airport, serving some 50 million passengers each year. To enhance traveler experiences, the airport in June deployed the Zensors AI platform, which uses anonymized footage from existing security cameras to generate spatial data that helps optimize operations in real time.
Using anonymized footage, the platform counts how many travelers are in a line, identifies congested areas and predicts passenger wait times, among other tasks — and it alerts staff in real time to speed operations.
The platform also offers analytical reports that enable operations teams to assess performance, plan more effectively and redeploy staff for optimal efficiency.
In addition to providing airport operators data-driven insights, live wait-time statistics from Zensors AI are published on Toronto Pearson’s online dashboard, as well as on electronic displays in the terminals. This lets passengers easily access accurate information about how long customs or security processes will take. And it increases customer satisfaction overall and reduces potential anxieties about whether they’ll be able to make connecting flights.
The platform also offers analytical reports that enable operations teams to assess performance, plan more effectively and redeploy staff for optimal efficiency.