In this exclusive airport operations series, Unleash live shares details of each of our computer vision Use Cases within each stage of the Airport Passenger Journey, starting with Curbside Departures.
Curbside to Curbside Airport Passenger Journey
Airport Passenger Journey Workflow - Part 1: Curbside Departures
Part 1 - Curbside Departures Use Cases
Detect and count vehicle type
Mode of Transport Recognition
- Identify the mode of transport (public/private) that passengers used to get to the airport.
- Bus transfer and passenger wait times through-out the airport.
- Ride share, taxi or private vehicle identification and tracking.
Get alerted when a vehicle exceeds a dwell time threshold
Double Parking
- What's happening at your Curbside? Analysis of parking, waiting, drop off and pick up.
- Total lane management and insight.
- Identify the source of traffic issues and deploy traffic services as needed.
People and vehicle count and dwell time
Dwell Time
- How long is the traffic queue on the roads?
- Monitor the interface between public and private infrastructure.
- Unleash live delivers benchmarking statistics on the airport traffic.
- We help improve airport data capture and analysis.
Identify lost or unattended baggage
Baggage/Porter Operations
- Accurate baggage counts at departures.
- Baggage identification and classification.
- Lost and unattended baggage alerts and alarms.
'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
