Submitted by admin on Wed, 08/10/2022 - 23:18

Poor coordination of ground operations

Sequence Number 2 Industry Airports & Airlines Banner Poor coordination of ground operations How 5G enabled

(AI) Computer vision, a technique that uses cameras and ML to monitor complex ground servicing activities, detect safety issues or sound alarms when a service is taking longer than expected.

Data Flows
Title Devices Icon Devices Description
  • Various types of cameras at all critical locations
  • Real-time image data to be collected as well as other sensor data (weather / temp / etc.)
Title Connectivity Icon Connectivity Description
  • Images transmitted to edge and enterprise storage
  • Develop MV models driven by analytics needs
Title Edge Compute Icon Edge Compute Description
  • AI (MV) to analyse images in real-time for direct action to be taken
  • Assume both real-time and non-real-time needs
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data is stored in enterprise data storage, where data ownership belongs to the company
Title Applications & Services Icon Applications & Services Description
  • Non-critical MV / ML models execution
  • Automated processes by default
Title Inform Decision Makers Icon Inform Decision Makers Description
  • Exploit XR to display passenger analytics
Title Support Decision Making Icon Support Decision Making Description
  • End of process
Application Logic
Description
  • Personal data privacy and protection is to be considered when collecting, analysing and viewing data.
  • Assume that real-time is the norm which means that direct intervention is possible.
  • Collect images from different angles as they will have a different purpose; Also collect from multiple sources (airline / refuel company / etc.).
  • Security issues need to be considered as information would be of interest to many parties.
Description
  • All AI (ML and MV) models will be developed through a joint effort of SME and data scientists.
  • Development of these models will be iterative (will require time) to achieve an appropriate quality level.
  • There will be multiple MV models as ground operations will be tracked for various reasons.
  • Focus will be on MV, however ML is required for analytics of other data types, e.g. for weather forecast info as input to planned timings for ground operations.
Description
  • MV and ML models have been developed.
  • Most of the time series data are likely not time critical, therefore cloud based.
  • All data will be stored in Enterprise data storage, provided as needed, for AI applications.
  • It is important as AI is able to predict the effort and time it takes to turnaround the plane; For this access to all data and of course learnings for the future.
Expected benefits Key value created