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 video footage to learn where potential bottlenecks are. Alert additional agents to the counter when the check in lines get too long.
Classify customer emails and extract information from those emails to train chatbots and automate response to routine questions like information about lost baggage.
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.
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.
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.
Improve security checkpoints using face recognition technology. Verify employee identity to ensure personnel are in approved and designated areas.
Gather valuable business insights from images, data and text using machine learning, image recognition and computer vision.
Assign tags or any custom concept to analyze text based on its content. Build models for sentiment analysis, topic analysis and smart reply.
Gain insights in to your customer segments such as age, gender and ethnic presentation.
Analyze images and return numerical vectors that represent each detected face in the image in a 1024-dimensional space.
Detect the presence of human faces with bounding boxes.
Identify unwanted content in images including gore, drugs, or explicit or suggestive nudity.
Recognizes over 11,000 different concepts including objects, themes and moods.
Recognize specific features of residential, hotel and travel-related properties.
Identify celebrities that closely resemble detected faces.
Detect items of clothing or fashion-related items.
Recognize more than 1,000 food items in images down to the ingredient level.
Explore our pre-built, ready-to-use image recognition models to suit your specific needs.