Artificial Intelligence, Making its way in the Aviation Industry
Aug 24, 2022
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Artificial Intelligence, Making its way in the Aviation Industry

Passengers should anticipate greater touchless check-in and security processing, symptom screening, heat maps to preserve social separation, and other automated standards and new functions of the airport in the post-Covid-19 crisis. In other words, they will encounter more robots and fewer people.

 

Smart technologies will be crucial in helping airports, and airlines get through this crisis, which is expected to hasten the use of automation and AI in the aviation industry.

 

Whether you're ready or not, artificial intelligence (AI) and machine learning (ML) is being used in aviation. According to experts in the field, the usage of AI/ML can boost productivity, safety, workload, and speed to enable more advanced technology like data ecosystems and autonomous vision-based navigation.

 

AI in the Aviation Sector 

AI technologies and their computational abilities for data interpretation may be useful in a wide range of processes and activities, including analytics, software configuration, customer support, and many more. A number of industries, including finance, marketing, retail, and health, continue to show potential for AI. 

Artificial intelligence (AI) can help businesses in the aerospace industry speed up production while also addressing safety problems. In addition, AI systems process massive amounts of data considerably faster than humans by examining data from several sources. 

This allows aerospace companies to examine various elements more effectively and efficiently. AI in airplanes may also help with creating applications that monitor and conserve fuel, pinpoint problem areas, and support air traffic control. For corporate executives, understanding and utilizing the applications of AI has become essential. 

Applications of Artificial Intelligence in the Aerospace Industry 

The applications that are employing AI technology to disrupt the aviation industry are listed below: 

1. Better Fuel Economy 

Aerospace industries place a premium on fuel quality, and even a little decrease in aircraft fuel consumption can greatly impact a business's profitability and sustainability.  

The deployment of AI-powered devices may result in a reduction in fuel use. For instance, a French startup, Safety Line's machine learning application, can help pilots improve their climbing trajectories before each flight. The ascending process uses the most gasoline, so enhancing this stage results in significant financial savings. 

2. Practices & Training 

AI can be used to construct flight training. AI simulations can be combined with interactive virtual frameworks to give pilots a more complete simulation environment. 

Simulators with artificial intelligence capabilities may also be used to collect and assess academic data, such as biometrics, to develop customized training regimens based on students' academic performance. 

The next significant application of AI will be to help pilots while they are flying. AI-powered cockpit changes can gradually improve a flight path by monitoring and alerting the pilot to crucial conditions such as fuel levels, aircraft conditions, weather, and other factors. 

In the future, aircraft may be supplied with stunning cameras that are powered by image processing techniques, expanding the pilots' field of vision and improving the quality of their performance.

 

3. Using AI To Enhance Air Traffic Management (ATM) 

The ATM becomes one of the most important factors when it comes to air safety because there are so many flights taking off, flying, and landing at the altitude that these planes can travel. In areas like flight planning, conflict prediction, and safety evaluations, the ATM can profit from AI. 

In addition to minimizing delays, AI technologies can enhance trajectory prediction and safety. This trajectory prediction can aid in creating safer air travel routes in congested airspace. To prevent deadly incidents, researchers are creating conflict and complexity prediction technologies that can foresee unsafe circumstances based on the historical data that is supplied to them. By reducing the occurrences of ionosphere mistakes, where the atmospheric shift might impact the satellite navigation system's signals, the AI will also aid in improving the prediction. 

 

4. Improved Client Experience 

Commercial aviation places a specific emphasis on client satisfaction and service excellence. AI is one way for airlines to increase consumer engagement and provide first-rate customer service. For instance, AI-based automated platforms called chatbots can react to customer inquiries in real-time and in a manner resembling human interaction. Online chatbots can save clients time and effort by automating customer care. There are several ways to do this, including:

  • Personalized and accurate advice on the customer's purchase choices
  • Chatbots with AI assistance provide quick and helpful support
  • 24-hour automated assistance simplify client interactions

 

5. Identification of Travelers 

Security is a critical responsibility for commercial airlines, and AI can offer effective safeguards to ensure passenger safety. Smart cameras with AI capabilities may use facial recognition to detect suspicious people at airports. 

To train AI systems for this, images of people with criminal records can be employed. Smart cameras with AI capabilities could be deployed in airports to spot criminal activity. 

 

6. Threat Identification 

Using computer vision systems, advanced analytics, and geospatial signal processing, AI can discover and classify hazards and dangers. AI systems can be trained for this purpose using images and videos from a range of aerial vehicles and satellites. 

The images and videos taken could be categorized as normal or suspicious. Using this data, AI systems may recognize dangers in a variety of contexts. AI-based solutions can be useful for business, civic, and commercial purposes. 

Corporate leaders may help pilots make informed decisions based on spatial and situational information by integrating AI into the aircraft industry. 

7. Fraud Prevention 

Airlines reportedly lose about $1 billion a year as a result of payment fraud, according to IATA estimates. Several fraudulent tactics include using stolen credit cards, requesting compensation for "lost" luggage, setting up phony online travel companies, and so forth. 

Both fraud management strategies and fraud cases are becoming increasingly sophisticated. Airlines use sophisticated, machine learning (ML)-based analytics tools to evaluate data from numerous sources, identify fraudulent transactions, and improve passenger authentication and payment security.

 8. Automated Messaging 

Travellers become anxious when a disruption like a flight delay or a luggage loss happens. Customers will probably not choose this airline for their subsequent journey if they don't receive a response or explanation of an issue from an airline representative in a timely manner. It is important to respond to consumer inquiries quickly, even more so than the actual procedures done to resolve a problem. 

By applying algorithms for interpreting natural language or unstructured text, AI software accelerates and streamlines the operations of customer support representatives. 

Creating chatbots is another method to automate and enhance customer care. Today, several airlines use AI-powered chatbots to improve customer service by assisting travellers with flight booking and management, luggage tracking, queries, and other needs. Bots can update flight information, lead consumers to certain services or outlets, and more, freeing up humans to focus on more worthwhile tasks and minimizing human contact. 

 

Customer service automation, such as chatbots, can understand basic inquiries and answer in a conversational, informal manner. Airports may offer 24/7 customer support and lessen the human touch by using chatbots. 

Famous Airlines using AI to Improve Operations

 

As you can see, there are many ways that airlines may employ artificial intelligence (AI) and data science to automate their processes, cut costs, and improve customer happiness. Here, we'll merely briefly discuss a few actual instances. 

1. Alaska Airlines 

According to numerous industry-recognized rating systems, including the American Customer Satisfaction Index and J.D. Power North America Airline Satisfaction, Alaska Airlines has consistently ranked among the top carriers for customer satisfaction (ACSI). Since the 1990s, it has also been a leader in innovation, beginning with the introduction of self-service kiosks, GPS technology, and online ticket sales. And it continues to pave the path.

 

Alaska Airlines inked the agreement for the usage of the Flyways AI technology in May 2021. A flight monitoring and routing application helps dispatchers create fresh, effective routes and make informed judgments. The technology generates predictions based on data and offers aircraft operations and routing suggestions. Flyways helped the airline cut miles, conserve 480,000 gallons of fuel, and avoid producing 4,600 tonnes of carbon emissions during the course of the six-month trial period.

 

2. Delta Airlines 

In May 2017, Delta revealed that it would invest an estimated $600,000 in four automated self-service bag checking kiosks, one of which would use facial recognition software. The airline said facial recognition technology will be used to authenticate customer identity by matching customer faces to passport images and choosing Minneapolis-St. Paul International Airport to debut the four self-service kiosks.

 

3. United Airlines 

A partnership between United Airlines and Amazon Alexa, dubbed "United skill," was revealed in September 2017. According to reports, the app enables Alexa users to converse in natural language to obtain answers to the most typical questions concerning United flights.

 

4. Southwest Airlines

 

Southwest Airlines, based in Dallas, is the biggest domestic airline in the US and the biggest low-cost airline worldwide. TripAdvisor's 2020 Travelers' Choice Awards named Southwest the top US airline.

 

Achieving high-level customer service requires you to listen to your consumers and make adjustments to your operations in response to their feedback. In its 2014-opened Listening Center, Southwest does precisely that. Forty professionals from the Customer Relations, Marketing, and Communication divisions keep an eye on social media feeds to help the airline address new problems as soon as they arise.

 

The team can monitor social media sentiment regarding Southwest, its rivals, and the airline industry as a whole, analyze the most frequently discussed business-related topics on social media and keep up with news from traditional media thanks to sophisticated software that collects relevant keywords from across the web. The airline uses social media insights to stay up to date on trends and offer consumers tailored promotions. 

Summary 

AI and machine intelligence can deliver the best client experience imaginable through automation and self-service apps. Utilizing data also enables aircraft companies to contemplate larger discounts and competitive positioning. 

 

One of the most important issues facing the aviation sector is air safety. It may be the only situation in which individuals are willing to compromise their privacy to ensure the highest level of air safety. AI is advancing aviation safety and assisting airlines to enhance their customer service, lessen the enormous problem of delays, enhance the environment of the air space, and enhance passenger security. The aviation sector has great potential to grow and become safer thanks to artificial intelligence.