Computer Vision for Airport Operations Series - Part 3 'Security'
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
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Part 3 - Security Use Cases
People Counting
\\n- Discover how many people are currently queued.
\\n- Identify the current security staff.
\\n- Break down the demographics of your queue.
\\n- Identify anyone with mobility concerns - Young children, wheel chairs, walkers etc.
Dwell Time
\\n- Identify queue times from start to finish.
\\n- Understand your customer dwell times at the various stations (baggage on the conveyor, security interaction, personal item collection).
\\n- Find points for improvement and potential streamlining.
In-line Behavior
\\n- Identify potential unusual activity, aggression and agitation.
\\n- Adjust the flow of passengers by need rather than roster.
\\n- Train your AI for undesirable object identification BEFORE clearance checks.
\\n- Identify and analyze the slowest and fastest parts of the security stations.
Passenger Free Zones
\\n- Set up exclusion zones on any camera, with alerts and alarms to any connected personnel
\\n- Recognize and identify airport staff wherever they are.
\\n- Ensure passengers and their baggage are together, within approved areas.
\\n- 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'
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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