Smart Technologies will play a major role to support airlines and airports to overcome the crisis, which is likely to accelerate the adoption of automation and artificial intelligence in the aviation sector.
In the post-Covid-19 crisis, many standards and new functions of the airport will be automated in order to drive efficiency and minimize human contact, passengers can expect increased touchless check-in and security processing, symptoms screening, heat maps to maintain social distancing, in other words they will meet more robots and fewer people.
Artificial Intelligence (AI)
When most people hear the term artificial intelligence, the first thing they usually think of is robots.
In fact, Artificial intelligence is a constellation of many different technologies working together to enable machines to sense, comprehend, act and learn with human-like levels of intelligence. Technologies like machine learning and natural language processing are all part of the AI landscape. Each one is evolving along its own path and when applied in combination with data, analytics and automation can help businesses achieve their goals.
AI refers to a broad class of systems that enable machines to mimic advanced human capabilities. AI use cases exist across every industry and some of the most prevalent today include:
● Image recognition
● Video classification
● Speech-to-text
● Natural language processing
● Recommendation systems
● Tabular and time-series data applications
AI makes it possible
It is only recently that AI has begun to show its value. Over a variety of industries, AI technologies have provided cost-effective ways of boosting productivity, increasing efficiency and improving customer satisfaction.
Airports around the globe are implementing Artificial intelligence (AI), Machine learning, algorithms, and other emerging technologies to offer personalized services and enhance the customer experience and optimizing airport operations. We expect to see the end-to-end journey revolutionized by touch-free walk through identity checks that enhance both security and customer experience.
There is a wide variety of current use cases for AI technologies at airports: Self-service kiosks; AI-powered facial recognition solutions; AI bots; security checkpoints; Waiting times; thermal cameras; A.I.-based real-time translation devices.
Artificial Intelligence at Airports
Artificial intelligence is seeing increasing adoption in a wide variety of industries and it is currently being used in numerous aspects of airports, due to its ability to process vast amounts of data and streamline tasks and procedures. Here are some examples;
-
Recommendation Engine
One of the ways artificial intelligence is used at airports is in the recommendation engines. Recommendation engines are common in popular online services from Netflix to Amazon and you will find them in countless travel-booking providers as well.
The AI platform analyzes historical data of the passenger like past reservations, behavior-tracking techniques, metadata, purchase history and real-time data to highly personalized offers to passengers, increasing retention and a customer’s lifetime value.
-
Chatbots/ Bots
Bots can direct users to specific services or outlets, provide flight information updates and more, freeing up staff to focus on activities that are more valuable and reducing human contact.
Chatbots and customer service automation is human-like, understands simple questions and responds in a casual, conversational style. Using chatbots, airports can provide 24/7 customer assistance and reduce human contact.
-
Baggage Screening
Passenger checked baggage is screened more efficiently using an Artificial Intelligence-based, robotic assisted convenience system, which quickly troubleshoots and diverts high-risk baggage for deeper inspection.
Today’s AI-powered facial recognition solutions for live video give insights into how individuals are moving through the space and enable much faster access.
-
AI Thermal cameras / AIbased video analytics
Facial recognition and fever detector AI Thermal cameras used for detecting passenger with fever.
AI-based video analytics uses algorithms and computer vision technology to look at video feeds, commonly taken from cameras to detect patterns and trends. The analysis happens in real-time and delivers actionable intelligence such as crowd gathering, people’s emotions and behaviors, general heat mapping, etc.
TAV Technologies Successful AI Solutions
There are so many amazing ways artificial intelligence and machine learning are used behind the scenes to impact our everyday lives. We see examples of how AI transforms apps like Amazon and Netflix with personalized recommendations for products, music and shows. As consumers become more familiar with this level of customization, other businesses are faced with the challenge to offer similar experiences for shoppers across channels.
TAV Technologies AI-Powered Pre-Order is a powerful product recommendation solution that creates intelligent upselling and cross-selling product recommendations based on retailer product inventory and passengers’ behaviors.
With Pre-Order, you can automatically promote, weight and filter product recommendations throughout the passenger journey, all from an intuitive interface. TAV Technologies powerful product collect all valuable customer data, order history and traffic information saved by the app from the login stage to the sale point and with certain algorithms, it processes and analyzes those data to learn about passenger’s needs and trends. It helps businesses to provide customized services, intelligent promotions that encourage higher-order values and increased revenue which simultaneously drives passenger satisfaction and loyalty.
Pre-Order helps passengers discover items they will love, reduce abandonment and save their valuable time with its prediction capabilities, which also enables suggestions for passengers more relevant to their choices and interests. It tempts passengers and urges them to buy the products or services, thereby helping businesses better engage with customers and grow sales.
TAV Technologies AI-Powered Flight Delay Prediction
We all know how frustrating and stressful it is for passengers who face a delay at the airport and flight cancellations, flight delay impacts not just on passengers, cargo and operations but influence the economy as well.
TAV Technologies Flight Delay Prediction Solution use AI and Machine-Learning to predict potential flight delays using historical operation data.
By using Flight Delay Prediction Solution, airports can easily predict potential delays and adapt their assignment and planning of resources accordingly while simultaneously providing passengers with the best customer experience.
The new technologies being implemented in airports are tackling security risks, ensuring social distancing, improving efficiency and enhancing the customer experience.
Airports are working towards greater automation and we are seeing a variety of use cases, from robotic assistants to help customers access the information they need to artificial intelligence to streamline processes and improve efficiency.
So far, these technologies are producing positive results by reducing waiting times, improving security and enhancing the airport customer experience.