AI in Aviation

Improve the travel experience using data-driven insights

Use AI and computer vision to uncover insights from image, video, text, and audio data to better understand traveler behaviors, personalize experiences, and improve business operations. Use unstructured data to your advantage to increase the customer lifetime value.

• Analyze check-in efficiencies with physical monitoring

  Analyze video footage to learn where potential bottlenecks are. Alert additional agents to the counter when the check in lines get too long.

• Improve customer service using NLP

  Classify customer emails and extract information from those emails to train chatbots and automate response to routine questions like information about lost baggage.

• Speed up check-in with facial recognition

  Use facial recognition at the baggage check-in counter to reduce passenger wait times and allocate crews to more valuable activities. Let passengers scan their passport and use AI to analyze the passenger’s face to ensure they are who they say they are.

• Improve air safety with predictive maintenance

  Use tablets or other devices to capture current views of aircraft engines. Inspect and detect where maintenance is needed for repairs or defective part replacements. Spot issues pointing at possible malfunction and replace parts proactively. Ensure the highest degree of safety, while reducing the time, cost and complexity of servicing your fleet.
  
  

• Reduce lost baggage with object detection

  Manage baggage more efficiently and accurately from the moment a passenger checks-in to when it arrives at the destination. Count and capture bags as they are loaded on the aircraft. Use object detection to provide insight into how much luggage is loaded onto a plane, which can be used to determine the impact on fuel efficiency.

• Ensure employee verification with face recognition

  Improve security checkpoints using face recognition technology. Verify employee identity to ensure personnel are in approved and designated areas.