This solution will be installed at the airport’s transportation network companies (TNC) lane for automating and managing the entry and exit of vehicles.
Built on edge-based processing, EZ Edge uses ideep learning convolutional neural network engine as well as virtual loop technology.
This solution, which is AI Machine Vision-based, tracks TNC vehicles on airport property through a unique third-party integration with omniQ.
EZ Edge features geofencing technology that detects the TNC vehicle and sends information on the approaching vehicle such as the licence plate number to omniQ.
The third-party partners incorporate reporting and payment portals to display the calculated charges against the TNC vehicles.
After the detection and identification of the vehicle at the TNC holding lot, the solution opens the gate, giving entrance access to the vehicle.
omniQ Virtual Loop Technology eliminates the need for physical cutting of ground loops, which simplifies the installation and costs.
Furthermore, EZ Edge helps in curb management, congestion control, wait times, access control, and provides correct billing for using the airport’s pick-up and drop-off services.
omniQ CEO Shai Lustgarten said: “Following the recently announced new contracts with Georgia State University (GSU) and the Medical Centre, we are pleased to be working with our partners at Philadelphia International Airport, which serves more than 30 million passengers annually.
“PHL customers are eager to enter and exit the airport, often via TNC vehicles. EZ Edge AI-based technology enables more effective monitoring, security and management of the TNC lane, eases congestion and helps the airport, TNC drivers and passengers save time and money.”