How AI in Banking is Shaping the Industry
How AI (Artificial Intelligence) Is Transforming The Aerospace Industry
By Pranav Shah, Mitul Trivedi and Ruchi Tank (eInfochips)
1. Aerospace Artificial Intelligence Market (How is the Aerospace AI marketing shaping up)
1.1. Artificial Intelligence
1.2. Aerospace Artificial Intelligence Market
Image: Reference 1
2. How AI works in Aerospace (Working of AI in Aerospace)
2.1. Artificial Intelligence in Aviation
Image: Reference no. 2
3. Use Cases of AI in the Aerospace Industry
AI has two major purposes:
3.1. Dynamic ticket pricing
3.2. Delay predictions
We must mention weather conditions yet another time today. Delays are unfortunately common, and they depend on dozens of varied factors. Over the world, Modern ML-based applications can help airlines and airports to predict flight delays and notify passengers as quickly as possible. This way, customers can have enough time to plan their travel and other arrangements, if necessary, meanwhile the aviation companies can also improve UX (User Experience) of such applications.
3.3. Flights optimization
Partially, we have already discussed this application. Modern ATM (Automated Teller Machines) systems enable airlines and air transportation companies to set optimal flight routes. This can lower the costs of flights, save travel time, and most importantly usage of fuel.
3.4. Crew scheduling
3.5. Smart maintenance
3.6. Better Fuel Efficiency
3.7. Training
3.8. Improved Customer Experience
3.9. Passenger Identification
3.10. Recommendation Engine
3.11. Chatbots/Bots
3.12. Baggage Screening
3.13. AI Thermal cameras/AI-based video analytics
3.14. Predictive aircraft maintenance
Artificial Intelligence in aviation enables technicians to access historical and real-time data from any location. The systems are mobile and desktop compatible, and they provide alerts and notifications of the aircraft's current technical status. They also enable technicians to identify problems that may indicate a malfunction and replace parts before they become a severe problem.
3.15. Factory Automation
The automotive industry already has highly invested in factory automation to get a continuous supply of products. However, the same is not possible in the aviation industry due to less volume of investment. By introducing factory automation, it can channelize supply chain and monitor manufacturing. AI-enabled machines/robots can perform multiple tasks at a time to manage supply chain. Smart AI can improve by self-learning.
4. Future of AI in Aerospace Industry
4.1. Air Traffic Management
4.2. Autonomous Flight Operations
Flight operation is a process starting from takeoff to landing and passengers from boarding to departure. So, there are many activities included in such a lengthy process. It also means a specific operation of a particular flight during a particular period. E.G., some flight BA2490 operates twice in a week, then, it has eight operations in a month. By extending innovative machine learning and analyzing data, it can identify the occupancy of passengers and manage the flight days, based on the past data.
5. Conclusion
AI is used to assist customers at the airport which is helping the companies reduce their operational and labor costs. Also, by using AI technologies, airline companies can resolve the issues of their passengers using chatbots by providing them with correct information. Artificial Intelligence in aviation enables technicians to access historical and real-time data from any location. Alerts and notifications with aircraft's current technical status are provided by using mobile and web applications which would help technicians in identifying malfunctioning and can replace malfunctioning parts before they occur. It is expected that AI in the aviation market is increasing because of the algorithms which automate large amounts of data, resulting in increasing productivity and decreasing queue length.
6. Reference
Image References
Authors –
Pranav Shah - Pranav Shah is a technology leader specializing in digital technologies such as audio-video, cloud, AR-VR, automation, IoT, and AI. With over a decade of experience at eInfochips and 14+ years in designing and developing software products, Pranav focuses on creating solutions in virtual reality, artificial intelligence, and data science to enhance the overall customer experience.
Mitul Trivedi - Mitul Trivedi is working at eInfochips as a Senior Engineer, with over 12+ years of experience in various platforms such as mobile applications, frontend, backend, and DevOps. With a focus on audio-video applications for over 4 years, Mitul provides solutions to real-time challenges. Currently, he is working on proof-of-concept applications to incorporate the latest technologies like Artificial Intelligence.
Ruchi Tank – She is a Senior Engineer with four years of experience who specializes in offering Cabin Management System solutions.Her experience primarily involves creating mobile applications for private aircraft in the avionics industry.
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Leidos-Microsoft Partnership Is Latest Sign AI Is Taking The Defense Industry By Storm
A Boeing MQ-25 unmanned refueling aircraft. AI is expected to greatly enhance the performance of ... [+] autonomous aircraft used in military operations.
WikipediaFortune 500 federal contractor Leidos LDOS disclosed on July 31 that it had formed a strategic partnership with Microsoft MSFT to speed the delivery of artificial intelligence tools to public-sector customers.
Microsoft has recently made major advances in applying AI to tasks such as internet search and natural language interpretation. Some observers say the world's biggest software company is in a race with Google to dominate the AI space, but the reality is that dozens of companies are chasing various facets of the emerging market.
For Leidos, a $15 billion tech firm that generates most of its revenues from defense, AI is yet another way to demonstrate it is not a traditional military contractor. The company's business with the federal government is concentrated in digital modernization, cyber operations, mission software and other areas that rely more on technical expertise than heavy capital expenditures.
Leidos has recently shifted 20 critical support applications from its work on the Navy's Next Generation Enterprise Network—the world's biggest intranet—to Microsoft's Azure cloud environment, so the July announcement reflects what looks to be a growing relationship between the two companies.
However, Leidos is not alone in embracing artificial intelligence for public-sector applications. Several major defense contractors are spending heavily on AI for military uses, pursuant to a Pentagon strategy that identified potential in areas such as improved situational awareness, better tactical decision-making, predictive maintenance, force protection, and reduction of collateral damage in combat operations.
As Northrop Grumman NOC , an industry leader in adopting AI, points out on its corporate website, using AI in military missions is very different from applying it to civilian activities because the operating environment is much more dynamic.
For instance, the highly predictable circumstances in which an autonomous vehicle must operate on the streets of a major US city lend themselves to the rule-based algorithms that underpin AI software. In wartime, though, there are few reliable rules and AI must be able to cope with all sorts of unusual developments.
Applying AI to combat environments thus entails unique challenges. Although the basic purpose of artificial intelligence is to mimic the reasoning of humans, it is understood that the software must act faster and with greater precision than a human actor could. That's the benefit of substituting it for human judgment in some situations.
But replacing humans with software in a warfighting environment raises a host of ethical concerns, so software engineers must not only fashion source code that can cope with a dynamic environment, but also build in rules that limit the latitude of machines to assume too broad a role in life-and-death decisions.
That's a tough assignment, and companies like Lockheed Martin LMT —the world's biggest military contractor—are devoting hundreds of millions of dollars to making AI a reliable, trustworthy tool on the battlefield.
Last year, Lockheed stood up an internal AI "factory" designed to streamline access of its software writers to the resources they need for generating AI applications. The company is hiring AI specialists at a furious pace, typically compensating them with six-digit salaries and generous benefits.
This effort proceeds under the umbrella of a broader company initiative that CEO James Taiclet calls "21st Century Security," which focuses on the use of new information technologies to generate enduring advantages for US warfighters.
Some of Lockheed Martin's AI work unfolds in traditional business areas, such as enhancing the performance of the sea-based Aegis fire-control system. But other work illustrates the fungibility of AI expertise across markets, for instance the company's use of AI to help firefighters predict and control the spread of wildfires.
It's all about exploiting data from diverse sources to detect and act on patterns that might have taken humans much longer to discern. The Pentagon's AI strategy is probably correct in assessing that "AI is poised to transform every industry."
That raises intriguing questions about where the emerging field might take companies like Lockheed Martin in the future. Maybe into new industries. Maybe to Mars.
Lockheed Martin contributes to my think tank.
RTX, which both competes with and teams with Lockheed, sees the potential. The company (which also contributes to my think tank) is ranked by Harrity LLC as one of the top ten recipients of US utility patents, with 2,684 patents awarded in 2022. AI is potentially applicable to every market in which RTX operates, from engine maintenance at Pratt & Whitney to sensor processing at Raytheon to flight operations at Collins Aerospace.
RTX formed an alliance three years ago with C3ai, a company that had received a major contract from the Defense Innovation Unit to develop predictive maintenance software for Air Force aircraft. The Pentagon office, which concentrates on identifying commercial technologies with military potential, figures that predictive maintenance could save the military $15 billion annually if applied across the entire joint feet.
Those are big savings, equal in scale to all the revenues at Leidos, and Leidos is nobody's idea of a small company (it has 44,000 employees).
Some analysts have recently begun speculating that heavy investment in AI startups has created a financial bubble that might soon burst. Other observers worry that the technology might one day become too powerful.
But that is the way all technology breakthroughs unfold. If the technology is really profound and far-reaching, it will go through repeated boom-and-bust cycles before it finds a stable place among the panoply of human innovations.
As far as the defense industry is concerned, though, artificial intelligence is the future. The industry has made its bets and will stick with AI, if for no other reason out of fear it will miss a major opportunity.
AI may not solve every challenge America's military faces, but it will likely play a role in how each challenge is assessed and addressed.
As noted above, Leidos, Lockheed Martin and RTX contribute to my think tank.
AR/VR Technology Gains Traction In Aerospace
Augmented reality (AR) and virtual reality (VR) are becoming more common in the aerospace industry. The technology is getting deployed in training, maintenance, and design and manufacturing.
A survey commissioned in July by Grid Raster indicated that 42% of respondents plan to implement AR/VR technologies over the next 12 months. Another 51% are researching uses for AR and VR in their operations. Grid Raster is a company that provides cloud-based XR platforms to support AR/VR/MR (machine learning) on mobile devices.
How AR and VR Gets Used in AerospaceDeploying AR and VR to support design and manufacturing is one of the uses of the technology in aerospace. "You have to put tons of wires on the planes and spaceships. Traditionally, it's been done manually," Rishi Ranjan, CEO of Grid Raster, told Design News. "With AR, you can set the wires virtually, a process that saves weeks."
People are also using AR and VR in manufacturing and design to show workers how applications are supposed to function. Workers can learn their jobs in a completely virtual world before they begin to execute the manufacturing process.
AR and VR technology are also getting used for repair and maintenance in aerospace. "The goal is to make sure the equipment is up in the air most of the time," said Ranjan. "If you're using AR for maintenance, you get the visual image on the screen of the work you need to complete. You don't have to go to a manual or a video. That gets the machine in the air faster."
Training is another common use of AR and VR, whether it's instruction for flight or repair. "AR and VR can be used to build muscle memory. Manual training is costly. With AR and VR, you can do the training less expensively," said Ranjan. "AR and VR companies are building simulators that can be deployed remotely as long as you have a display. Trainees don't need to go to a certain location. For some of the really dangerous training, trainees don't have to risk the plane."
The Grid Raster study revealed that aerospace companies are leveraging AR and VR technologies in AR-assisted workforce on production lines (83%); AR-assisted maintenance and customer visits (75%); employee training programs (53%); and AR-assisted design processes for aerospace engineers (30%).
COVID-19 has Increased the Use of AR and VRAccording to Ranjan, the use of AR and VR in aerospace has grown during the pandemic. "COVID-19 has had an impact on aerospace executives, prompting AR and VR implementations," said Ranjan. "Twenty-eight percent of those executives said COVID-19 weighed heavily on their decision to fast-track this technology. Another 39% indicated they started the adoption process as a result of the pandemic."
The very nature of AR and VR lends itself to remote access. "A lot of the use of AR and VR is because employees are not allowed to go to offices. You can easily move into the virtual environment from your home," said Ranjan. "You can keep practicing and learning the muscle memory. People can do it at home, and when they go back to the office, they will be more efficient."
Ranjan noted that aerospace decision-makers are turning to AR and VR for its efficiency. "Aerospace companies that have made AR and VR implementations are seeing several results," said Ranjan. "The majority of those polled said they are achieving between a 15% to 20% increase in efficiency and a 5% to 10% increase in overall cost savings."
The uses of AR and VR in aerospace tend to be quite different. "If you look at a common application in Aerospace – say training – VR is used 90% of the time," said Ranjan. "If you're working in the manufacturing of the airship, you're using AR. For exploring maintenance issues, it's VR, but for fixing the planes, AR is being used."
How Does Cloud Technology Factor in AR and VR?Ranjan noted that the ability to leverage AR and VR through cloud technology is important in aerospace. "51% of aerospace executives are concerned with the need to move their current AR/VR solutions to a cloud-based environment," said Ranjan.
Using AR and VR requires considerable computing power. Connecting to a cloud system is one way for users to obtain the compute level needed. "If you look at AR and VR, you are processing the camera in real-time in AR and VR," said Ranjan. "You have to do a lot of computing. The aerospace has minimum compute on hand."
He also noted that cloud connectivity in AR and VR is expected to grow in use since the devices will need to get lighter and lighter. "If you bring the information with the processing you need, it's in the cloud," said Ranjan. "If you use the cloud as your processor, you can do a better alignment, and the camera will know what it's looking at. "
Cloud-based AR and VR can also be scaled more easily than onside systems. "We're finding that the benefits of AR and VR are achieved more rapidly when manufacturers ensure they have deployed the solutions in a cloud-based environment," said Ranjan. "The cloud-based systems can provide greater functionality and scalability."
Rob Spiegel has covered automation and control for 19 years, 17 of them for Design News. Other topics he has covered include supply chain technology, alternative energy, and cybersecurity. For 10 years, he was the owner and publisher of the food magazine Chile Pepper.
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