Wait times in KLIA slashed to under 10 minutes

Wait times in KLIA slashed to under 10 minutes

New 3D sensor technology at check-in, Immigration and Customs counters will ensure smooth passenger flow.

The days of the long waits for check-ins at KLIA will soon be over with the use of new 3D sensor technology.
PETALING JAYA:
There will be no more long waits in queues at KLIA, thanks to the use of new 3D sensor technology for the airport’s automated queue management system (AQMS).

In a statement today, Malaysia Airports Holdings Bhd (MAHB) said waiting time is set to be reduced to under 10 minutes. The sensors utilise Internet of Things technology to detect congested areas and long queues.

This information is then channelled to the Airport Operation Control Centre which can then deploy additional resources to ensure prompt service and smoother passenger flow.

With this, the airport can also carry out crowd control so as to ensure strict compliance with Covid-19 standard operating procedures (SOPs) such as physical distancing.

“With digital technology in place, we will transform the airport processes into more efficient services to better serve our passengers.

“AQMS will take away long wait times and ensure effective physical distancing at all major touch points,” MAHB Group CEO Mohd Shukrie Mohd Salleh said.

The first phase of the AQMS has already been completed for all security checkpoints, including boarding gates, while it is still being set up at all critical touch points.

“The phase that is currently in progress is for check-in, Immigration and Customs (counters), and should be completed by June this year,” said MAHB.

With the AQMS, the wait times can be seen on the airport’s flight information display screens and soon in the MYAirports application, helping passengers plan their journey to KLIA.

Shukrie said MAHB was focused on “future-proofing” their services and improving passengers’ experience at the airport.

“We hope to create strategic value to all relevant partners and government agencies by leveraging the data captured from the AQMS to be more efficient and effective in resource planning and allocation.”

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