Schiphol Airport

Intelligent automation for asset monitoring

The PointCloud innovation challenge

As one of the world’s leading digital airports, Schiphol is looking to increase its level of customer satisfaction through process automation. 

“How can we use technology to combine PointClouds, photos, BIM, and/or GIS models to deliver new or improved products and services to people working at Schiphol airport?”

Our Approach

We set out to show how our BrainMatter platform could empower Schiphol and its main contractors with on-time performance during the life cycle of the airport’s physical assets whilst reducing operational costs.

Goals

  • Augment and automate labor-intensive stages of the asset inspection process
  • Ensure accuracy and consistency across all assets, aligned with digital twins
  • Establish cross-domain collaboration using a single platform, together with Schiphol’s main contractors
  • Ensure accurate data exchange to improve on-time performance
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25,000

Relevant assets

BrainMatter viewed nearly 2,000 high-resolution panoramic images with approximately 25,000 relevant identified assets

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8 classes

Asset recognition

BrainMatter has learned to recognise and assess 8 asset classes out of the 80k+ assets in just 7 days

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In milliseconds

Initiate immediate action

BrainMatter users can define rules to initiate follow-up actions when an object has been recognized, such as a notification or signal to an asset management system.

download

Download the case study and find out how BrainMatter's Intelligent Automation enables asset managers and quality inspectors to longer having to carry out manual inspections and instead will be notified via tickets when assets such as lighting, smoke detectors and surveillance cameras require maintenance.

This allows Schiphol and its main contractors to intelligently automate asset monitoring, improve first-time fix rates, increase information exchange, reduce costs and improve risk identification.

 

BrainPower