
Artificial intelligence (AI) is producing significant changes across various sectors globally, with the aviation industry no exception. In a recent analysis, Artemis Aerospace delved into how AI is revolutionizing different aspects of aviation.
AI applications are now widely used in aircraft design and manufacturing. Machine learning and algorithms employ statistical models to create aerodynamic designs that increase speed, enhance safety, and improve sustainability. AI allows engineers to choose the best raw materials for components, plan the production process to reduce waste and increase performance, and predict when maintenance and repairs are needed based on historical data.
Safety is another area where AI’s impact is significant. AI can analyze flight data, weather information, and aircraft sensor data to predict potential hazards, like severe weather turbulence, and take preemptive action. AI-driven facial recognition and biometrics also enhance flight security, reducing passenger identification queues, mitigating the risk of onboard threats, and lowering fraud.
AI algorithms are also utilized in crew management systems, ensuring the right crew combination for each flight. This increases efficiency and reliability amidst a global shortage of qualified pilots and cabin crew. Crew requests, health and safety regulations, and cost considerations are also included.
Fuel efficiency is another area benefitting from AI. By analyzing weather conditions, wind patterns, passenger numbers, and other air traffic data, AI can calculate the fastest and most fuel-efficient routes for an aircraft. AI can also recommend flight paths that minimize the release of contrails.
Many airlines are now exploring using sustainable aviation fuels (SAF), which are less environmentally harmful. AI can source these products and optimize manufacturing, increasing efficiency and reducing costs.
AI machine learning also enhances the ticket purchasing experience by tailoring it to each passenger’s needs. It considers personal budgets, frequent flyer ranks, and travel preferences based on past choices. AI can also simplify complex journeys by suggesting practical routes and tracking suspicious financial activity to reduce booking fraud.
AI has also improved the baggage handling process. It allows for flight delays, prioritizes connecting flights, and reduces instances of lost luggage. AI can even use photo recognition to track baggage and deliver it to the owner, identifying specific case designs, stickers, and scuff marks.
Despite the benefits, AI’s use raises concerns regarding job security and the potential lack of human intervention. Ethical, safety, and security implications are also notable. However, with the correct checks and balances, AI can continue to enhance operational efficiency in the aviation industry.