AI Case Study

Dubai Airport enhances customer experience by doing predictive maintenance using machine learning

Dubai airport, currently the busiest in the world, uses visual recognition and sensors to analyse facility usage. This information is used to schedule predictive maintenance and infrastructure re-design.

Industry

Consumer Goods And Services

Travel And Leisure

Project Overview

"With 90 million travelers passing through it each year, Dubai Airports is the world’s busiest airport and passenger numbers are still growing. To deliver the additional capacity this requires, the airport looked to use its data to drive efficiencies.
The airport is supported by a huge network of connected sensors to monitor the various processes like how customers utilise the facilities throughout the airport for predictive maintenance and infrastructure re-design. For example bathroom sensors enable efficient deployment of cleaning and maintenance resources "

Reported Results

According to the airport:

* Bathroom sensors enable efficient deployment of cleaning and maintenance resources
* Improved service and security

Technology

Function

Operations

General Operations

Background

"Dubai Airport is currently the world’s busiest international airport, handling 90 million passengers this year. But with this figure expected to rise to around 100 million by 2020, and any possible physical expansion of the airport hindered by the limited geographical location, improvements had to come from innovation."

Benefits

Data