Intelligent route planning

Routes are already made by machines, but it turns out that applying some advanced artificial intelligence technologies to the process can produce interesting results. It is not so much the route of a single aircraft, but rather the interrelationship of all aircraft taking off and landing at a given time. Artificial intelligence algorithms can perform advanced calculations that take all of these flights into account, producing much more efficient routes that take into account a large number of factors.

It is likely to take a long time to establish this. Route planning is a complex field that requires coordination between several different institutions – often at the international level. Before we can start the proper deployment of artificial intelligence systems, a lot of bureaucracy must be won.

Complex navigation

Artificial intelligence also extends to navigation systems used in modern aircraft. Much of the “heavy lifting” of flight operations is now artificial intelligence, and pilots need little interaction. Departure and landing are still complex processes that require the attention of pilots, but it seems that things are changing in this regard. It is not terrible to imagine a near future where all flights will be operated by artificial intelligence and human operators will perform support functions to ensure that everything runs smoothly.

This does not mean that the pilot’s job is on the way. On the contrary, we are likely to see a growing demand for qualified experts who can oversee more challenging trips. At the same time, these pilots prove invaluable in training artificial intelligence to function properly. It will take several years until we see the algorithms work properly, so there is a lot of work to be done on this.

Screening of passengers

Safety remains a major concern in aviation, and as it turns out, artificial intelligence can play a huge role in this area. Passenger screening is already based on many of its tasks with automated systems, but there is still room for improvement. To ensure a good customer experience, it is paramount to keep people moving through airports quickly and efficiently. Artificial intelligence helps support the work of human screeners and both provide additional security as well as improve and speed up the screening process. A large number of faces can be scanned simultaneously with computer vision systems without requiring additional exposure from passengers. This information can then be passed on to security, which can respond in a timely manner if it detects someone who may be on the watch list or appear suspicious.

Artificial intelligence and facial recognition, but many of the most sensitive issues have already been identified and are being addressed. The goal is for artificial intelligence to make the whole process less distracting and give people more freedom to travel without having to think about security issues.

Baggage control

Another use case Artificial intelligence in aviation is baggage tracking and screening. This function is important for the protection of airports and flights, and a lot of resources are constantly being invested in improving this operation. There are many challenges in streamlining these functions. Suitcases are not always easy to open, and sometimes there are privacy concerns associated with making them. At the same time, human operators who screen their luggage for long periods of time can be prone to errors and may lose important clues to dangerous products.

Artificial intelligence can perform this task faster and more efficiently with fewer errors. It works by helping human screeners. Artificial intelligence automated systems can be used to screen all baggage at the ground level, suspicious or questionable bags can be marked and alerts sent to human screeners for further evaluation checks. Helping human screeners with the workload is likely to lead to significant improvements in the accuracy of security measures.

Customer Service Chatbots

Airlines have taken advantage of recent developments in the field of artificial intelligence to improve their interaction with customers, and opportunities to do so are scarce. Timely handling of customer complaints and questions is paramount to the success and reputation of airlines. Customers have high expectations for service levels, and companies use artificial intelligence and natural language processing empower chatbots to focus on solving this.

One of the ways in which artificial intelligence systems are excellent is through the collection and sorting of large amounts of data through it for ease of use and analysis. Artificial intelligence is used not only to enhance chatbot conversations, but also to analyze all types of communication to get valuable customer information such as emails, social media messages, user reviews, etc.

Preventive maintenance of aircraft

Aircraft maintenance is a complex and expensive field. There is no mistake, the slightest control can be catastrophic. There are often unnecessary processes and cross-checks between service experts. Artificial intelligence can be enabled to monitor aircraft status and performance. This includes periods when the aircraft is on the ground as well as during flights. In fact, artificial intelligence can contribute a lot, especially in the second case. Certain mechanical problems are not easy to detect on the ground and only occur during the flight of the aircraft. They usually have some time to fully manifest, which means the plane could go on multiple flights of the structure of the problem, and no one realizes. Land inspections cannot always guarantee that these problems will be tackled.

That’s where artificial intelligence comes in. It is able to effectively control the machine even during operation via sensors that do not require human interaction. This is an area of ​​active research for many experts in the field of artificial intelligence, and we are likely to see solid solutions there in the near future.

Security and access control

Security goes beyond security screening of passengers and baggage. Ensuring the identity of workers to ensure that they are in approved and designated areas is very important not only for safety reasons but also for safety reasons. Computer vision and facial recognition make it easier to identify authorized personnel and give them access to specific locations. Thanks to the combination of computer vision and advanced analysis of smart cameras, the overall level of protection has improved significantly over the last 10 years. Some airlines have already entered into partnerships to exchange data and other analytical results, which is likely to lead to increased public safety around the world.

Conclusion

As the COVID pandemic becomes people, tourism is on the rise and will certainly continue to flourish. Artificial intelligence helps airlines improve operational efficiency, provide safe environments and improve the customer experience. These changes are seen as critical to long-term success and will help innovative airlines gain an advantage in a competitive market. Computer vision, natural language processing, and artificial intelligence are likely to lead to major changes on the road and change the face of aviation forever.

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