AWS Machine Learning Blog
Category: Travel and Hospitality
How United Airlines built a cost-efficient Optical Character Recognition active learning pipeline
In this post, we discuss how United Airlines, in collaboration with the Amazon Machine Learning Solutions Lab, build an active learning framework on AWS to automate the processing of passenger documents. “In order to deliver the best flying experience for our passengers and make our internal business process as efficient as possible, we have developed […]
Deploy a predictive maintenance solution for airport baggage handling systems with Amazon Lookout for Equipment
This is a guest post co-written with Moulham Zahabi from Matarat. Probably everyone has checked their baggage when flying, and waited anxiously for their bags to appear at the carousel. Successful and timely delivery of your bags depends on a massive infrastructure called the baggage handling system (BHS). This infrastructure is one of the key […]