In this exclusive airport operations series, Unleash live shares details of our computer vision Use Cases within each stage of the Airport Passenger Journey. Today we take a look at Part 3 'Security'.
Curbside to Curbside Airport Passenger Journey
Airport Passenger Journey Workflow - Part 3: Security
Part 3 - Security Use Cases
Detect and count people
People Counting
- Discover how many people are currently queued.
- Identify the current security staff.
- Break down the demographics of your queue.
- Identify anyone with mobility concerns - Young children, wheel chairs, walkers etc.
Get valuable insights on queue statistics to improve efficiency
Dwell Time
- Identify queue times from start to finish.
- Understand your customer dwell times at the various stations (baggage on the conveyor, security interaction, personal item collection).
- Find points for improvement and potential streamlining.
Identify when to open up new queues to improve passenger flow
In-line Behavior
- Identify potential unusual activity, aggression and agitation.
- Adjust the flow of passengers by need rather than roster.
- Train your AI for undesirable object identification BEFORE clearance checks.
- Identify and analyze the slowest and fastest parts of the security stations.
Differentiate between airport staff and passengers
Passenger Free Zones
- Set up exclusion zones on any camera, with alerts and alarms to any connected personnel
- Recognize and identify airport staff wherever they are.
- Ensure passengers and their baggage are together, within approved areas.
- Zone all ground side equipment to ensure non authorized personnel are a maintaining a safe distance.
'How Cloud-Based Computer Vision Can Transform Airport Operations'
Unleash live's solution for the Airport industry
By leveraging existing cameras, airports can harness the power of computer vision to enhance operational efficiency, streamline processes, and ultimately improve the overall passenger experience in a multitude of ways
← Go to Part 2, 'Check In' Go to Part 4, 'Retail' →
