The Future of Mobility: AI in Automotive Sector

Those who remember 20th-century science fiction movies remember the predictions that we would see flying cars in the 2020s. While cars can't fly yet, artificial intelligence technologies are transforming the automotive industry like many others. The biggest example of this is, of course, self-driving cars.

In the automotive industry, artificial intelligence has changed and transformed many practices from production to use. These technologies are the future of the industry and the classic production stages are changing. These changes will also change the way we, the users, view mobility and our driving habits.

Roles of Artificial Intelligence in Different Parts of the Automotive Industry

Artificial intelligence technologies are manifested in many different aspects of the automotive industry. It is possible to say that there is currently an artificial intelligence revolution in the sector at points such as design, production, logistics, transportation itself, and maintenance. Let's take a look at what is changing at these points. 

Manufacturing: AI Improved Production

The average car needs some 30,000 individual parts to be built and run. When you consider that not all of these parts are made in the same place, you can imagine how difficult it is to put them together. These mishaps in the production chain cost automotive companies millions.

AI technologies can predict potential risks in the production chain. Complex communication networks can be simplified and process automated. All of this can be done with artificial intelligence programs thanks to production system monitoring.

Another contribution of artificial intelligence to production in the automotive industry can be seen directly in the production line. AI-supported robots can perform tasks that are too heavy or time-consuming for humans.

Another role for AI in production is quality control. The fact that machines perform quality controls of the products coming out of the production line without any margin of error prevents damages and risks arising from this issue.

Transportation: A New Driving Experience 

In mobility, AI is directly changing our driving experience. For example, the most important example of this is the vehicle assistants that are currently in the vehicles and are aimed to be developed. It is now enough to give voice commands for tasks such as turning on the radio, opening the window, and turning off the heater. 

Another changing face of mobility is, of course, driving. Self-driving cars entered our lives a few years ago and they are improving their experience. Cameras inside and outside the vehicles take instant images, which are analyzed simultaneously by the vehicle's algorithm. Thus, the road is analyzed. We will take a detailed look at the technology related to self-driving cars from the driver's perspective. 

Maintenance: AI Will Maintain Your Car

Vehicles are increasingly evolving into "smart vehicles". Still, even in the current state of technology, vehicles are quite advanced in terms of maintenance. We owe this to vehicle synchronization.

On the other hand, in the near future, vehicles developed with artificial intelligence will be able to detect potential problems, not just existing ones. Thus, necessary precautions will be taken before problems arise.

Another important point is that vehicles will have smart interfaces. In this way, you will be able to easily carry out your transactions such as car insurance on the seat of your vehicle.

Examples of Artificial Intelligence in the Automotive Industry 

While AI technologies will change the automotive industry, the potential changes will be much greater than what has been realized so far. For example, the value of the autonomous vehicle market, which was worth $5.6 billion globally in 2018, is projected to rise to $60 billion by 2030.

So, how AI technologies are transforming the automotive industry? Let's examine the key transformation points under a few headings. 

In-Car Assistant

AI-powered voice recognition systems are improving day by day. These systems are being used in banking, cybersecurity, and many other areas and are becoming part of our daily lives. So what is the place of voice recognition technologies in the automotive sector?

The combination of Natural Language Processing (NLP) and machine learning algorithms has led to a major improvement in voice recognition. These technologies are now being used in cars and are rapidly becoming mainstream. For example, Mercedes-Benz has developed a voice assistant that works just like Siri, Apple's voice assistant. To activate the assistant, simply say "Hey Mercedes!". 

Risk Assessment

Tesla is the pioneer in using artificial intelligence for accident prevention and risk mitigation. The company uses both interior and exterior cameras in its autonomous vehicles. The exterior cameras analyze the road and objects on the road using object detection and object tracking.

The cameras inside the vehicle analyze the driver's condition by using artificial intelligence solutions such as face detection and emotion recognition. All this visual data is analyzed simultaneously. The data collected by the cameras is analyzed by machine learning algorithms used in the vehicles.

Personalized Cars

Personalized vehicles took their place in the automotive industry with Porsche. Porsche offers new vehicles equipped with artificial intelligence features to users through their website. Users can ask for a personalized vehicle to be created by choosing from different features.

Although there are limits on which features the vehicle can have, Porsche has already developed 270 different machine learning algorithms.

Future of Mobility 

The development of the internet of things has made it possible for things to generate data. And the ability of things to generate data has created vast amounts of data that can be used for business development.

The automotive industry is no different. AI-powered smart vehicles can collect a lot of data on user experiences, system failures, or general improvements. The fact that this data will be used in future AI-based vehicles means that gaps will be addressed where necessary.

On the other hand, thanks to AI-based technologies and current data-driven analysis, necessary decisions can be made in business and production processes. This means reducing errors, which means increasing the revenue generated. It is possible to summarize that if there is no error, there is no loss.

Finally, as robots working with the support of artificial intelligence learn different jobs, fewer technical staff will likely be needed than is currently required. This could be a serious cost reduction for automotive companies.

Conclusion

Artificial intelligence technologies continue to transform and change industries. Almost every sector has already started to adapt to this transformation. The automotive industry is one of the places where this change is happening the fastest.

It seems inevitable that artificial intelligence technologies will take over the automotive industry. It seems possible that many automotive jobs will be transferred to algorithms or robots.

Don't let this future scare you. Artificial intelligence systems exist to facilitate and improve people's lives. The important thing is to know how to utilize these technologies. If you want to use AI technologies to improve your business but don't know where to start, Cameralyze is for you!

Cameralyze is a no-code artificial intelligence solutions platform. You can access many of the AI functions mentioned in this article on this platform without any technical knowledge. For more information about Cameralyze's AI solutions, please click here. For informative content about artificial intelligence technologies, please visit the blog.

Start using Cameralyze now!

‍