Artificial Intelligence (AI) uses its cognitive technologies such as machine learning, computer vision, natural language processing, robotics and speech recognition to automate tasks, repair and maintenance and to provide efficient client service through data streamline. Aviation industry can make use of AI to reap following benefits:
1. Passenger safety and security
Computer Vision technology can be used to create automotive IoT products which ensure driver and passenger safety by analyzing the alertness of the pilot throughout the journey in a cost-effective way. Besides, the network notifies and alerts the driver in real-time when he is distracted or fatigued with an audio trigger to rectify his driving behavior. If the erratic behavior continues, the colleagues are instantly notified with video proof through the internet so they can take necessary action and prevent a potential accident.
2. Air Traffic Control
One of the major challenges at the airport is changing weather conditions and height of the airport traffic control towers which causes air traffic delays . At the time of bad weather, air traffic control (ATC) must depend on radars to keep smooth running of the airport. To tackle this problem, some airports have fixed AI empowered ultra-high-definition cameras on top of the towers. Through AI clear views of the airport can be provided to traffic controllers. For e.g. Searidge Technologies has developed AIMEE- neural network-based AI platform which provides a solution for air traffic control by providing signal to next plane arrival.
3. Aircraft maintenance
Augmented reality glasses provide 3D wiring diagrams to mechanics to see hands-free for more efficient repair work and also reduces repair time. AI can analyze and organize data from IoT sensors and send the data through reports which are easy to understand. In aircraft engines IoT devices with sensors are being used to monitor all the components in real-time and check the health of the engines. AI algorithms can identify potential failures in real-time and organize proper timelines for repairs. Aerospace industry can get more innovative product designs with light and more efficient parts through AI.
4. Customer Feedback analysis
AI’s natural language processing technology helps to analyze and process customer experience data to meet customers’ expectations, to improve customer service and to turn a poor customer experience into a delightful one. For e.g. PureStrategy has developed a platform for business analytics named the Automated Neural Intelligence Engine (ANIE) for data review, data visualization, data categorization, and sentiment analysis. Through this platform a lot of manual and time-consuming tasks can be performed allowing humans to concentrate on more complex tasks.
5. Messaging automation
Through natural language processing algorithms, airlines can categorize customer emails and abstract facts from these emails for automating some of the routine tasks for providing information about flight delay, lost baggage etc.
AI-powered chatbots have authorized airlines to automate the procedure of replying to common queries such as flight information updates, to direct users to specific services or outlets, cancelled flight information etc. There is no need to appoint an exclusive representative to answer all calls. These bots can provide a quick response to the passengers 24/7.
AI can utilize data for Profit Management which determines net revenue after examining different costs. The data can also be utilized for selling the product and reasonable rates to needy people at the right time. Revenue management experts make right use of AI to modify prices for specific segments, to determine destinations, to alter flight routes, to discover well organized distribution channels, to understand passengers’ tastes and behavior, to determine different prices for holidays and weekends, high and low seasons etc., and to govern seats in order to maintain airline altogether customer-friendly and competitive. AI can streamline the prices by analyzing how many customers viewed a web page displaying a specific price. AI-based solutions also help in demand forecasts that not only predicts the demand but also updates the next forecast with information from what happened previously. This constant process results in more precise and accurate predictions.
8. Crew management
AI can be used in Airline Crew management , Fatigue management, Reduce redundancy , Intelligent Disruption management and to improve Crew Interactions.
9. Fuel efficiency optimization
Airlines make use of AI platforms with built-in machine learning algorithms to analyze and gather aviation data regarding distance travelled, altitudes, weather conditions, kind of aircraft, weight etc. On the basis of data collected, the system calculates the optimal amount of fuel needed for a flight.
10. Screening & checking Baggage
Through AI-powered robots, passenger baggage can be screened more efficiently and helps to divert high-risk baggage for deeper inspection. AI’s facial recognition technology also helps to trace the suspicious movement of individuals.