Computer vision for airports
Airports need smooth flow, predictability and control in high-traffic environments. Computer vision turns footage into information about queues, occupancy, trajectories and controlled areas, supporting operations and security teams.
Possible applications
- Counting and occupancy by area.
- Queues and waiting times.
- Trajectories and flows between zones.
- Monitoring of access points and controlled areas.
- Heat maps and concentration.
Evidence-based operations
Occupancy and flow metrics help find bottlenecks, compare periods and prioritize resources. Events can be integrated into the systems and dashboards the airport already uses.
Existing infrastructure
Whenever possible, the project starts with the cameras already installed. Coverage, angle, resolution and lighting determine which metrics can be obtained reliably.
Questions operations start to answer
- What is the waiting time right now at check-in and security screening?
- At what times does each area exceed its planned occupancy?
- Where do passengers move between entrance, check-in and boarding?
- Who entered a controlled area outside the expected flow?
Passenger privacy
Queues, occupancy and flow use aggregated data, without identifying passengers. Evidence images are restricted to authorized roles and to the defined retention period.
Assessment of your cameras
The first step is to look at the cameras you already have and tell you what they can do. Then a proof of concept with your own footage shows the result in the field. Depending on the size of the project, both steps can be free of charge, and the proof of concept starts running within 10 days of the agreement between the parties.
Assessment
We review image quality, position, lighting and network of the existing cameras against what you want to detect.
Proof of applicability
We run the analysis on real scenes from your site and measure it against the agreed success criteria.
Deployment
On-premises, central, cloud or hybrid, with rules, alerts, user roles and integrations configured.
Continuous calibration
Rules and models are tuned per camera using the real event history.
Frequently asked questions
How can airport queues be measured with cameras?
AI counts the people in each queue zone and tracks how long they stay. The result is the queue length and estimated waiting time, updated continuously.
Does the AI identify passengers?
Not to measure queues, occupancy and flow: these metrics use anonymous counts and trajectories. Identification only comes in when the purpose and the legal basis require it.
Does it work with the terminal’s cameras?
In most cases, yes. High-mounted cameras with good coverage of the queues usually work; the assessment shows which areas need a position adjustment.
What do you want your cameras to tell you?
Tell us what you need to detect, measure or monitor. We start with the problem, not the technology, and the assessment uses images from the cameras you already have.
- Phone and WhatsApp
- +55 11 3636-8989
- Address
- Al. Terracota, 185, conj. 1213 — São Caetano do Sul, SP, 09531-190