How Artificial intelligence impacts the automotive industry


When we think about artificial intelligence and its applications, concepts such as voice assistants and their development in loudspeakers or computational photography inside our mobile phones quickly come to mind. 

To this day, both seem the closest points between us and this intelligent technology, although we will find more examples if we are very attentive. In the automotive industry, we also find some examples related to machine learning without going any further.

 And we're not just talking about driving aids.  Artificial intelligence is integrated throughout creating vehicles recognizing drivers and their habits, and other associated services.

We are not going to go into business data. Still, it is interesting to note that it is estimated that the value of artificial intelligence in 2024, in the field of car manufacturing and services, will amount to 10.73 billion dollars.

Artificial intelligence is involved in the creation of the car, in its use, in recognition of the driver, even in the insurance company.

In this article, we will review applications related to an industry that is being conquered by AI. Small startups with great ideas and automobile giants coexist in developing their technology and live off these companies.

How does AI affect the Automobile industry? 

1. AI helps us in driving

We start with the most obvious: driving aids by AI. We can divide them into two levels: assistance to a driver and fully autonomous cars. Let's know the differences:

Driving assistance

Before industry and governments can deploy a fleet of autonomous cars, when the vehicle is left for us is to trust technology to help us—having an intelligent co-pilot who makes his own decisions, at the same time that he informs us of the data he receives from a lot of sensors and cameras that surround the vehicles.

We can find systems such as lane change alerts,  emergency brakes based on detecting the traffic around us,  automatic parking, blind-spot monitoring, and even steering assistance. All this always with a person in charge.

The Drivers

Taking into account all the technology that cars already integrate, the logical step is for it to be able to drive alone. Many manufacturers are already working on fully autonomous vehicles.

In the world of technology, we could say that  Tesla  (and its Autopilot) and  Google  (through  Waymo ) are the ones that have the upper hand, with the highest number of kilometers covered in real tests. 

2. Monitoring the driver

In the previous points, we have understood that the car sees everything that happens around it, but what happens to us, is nobody watching us? Artificial intelligence is also at the service of what happens inside the vehicle in three scenarios:

User identification and recognition. The software can know which driver is in command and consider adapting the conditions to their preferences. It can also become a vehicle lock mode, allowing only recognized persons to drive.

Monitor while driving. By observing the driver's eyes and his head's movement, the system can tell if he is falling asleep or is aware of things other than the road.

Control of the entertainment system. With voice recognition or gestures, artificial intelligence mediates in controlling things like changing music, maps, or notifications that come to your phone.

3. Cloud services

The vehicles of the future have to be connected devices and very powerful in processing capacity. They will have a particular dependency on the data, which will be hosted in the cloud. Artificial intelligence will help that data be managed efficiently.

With the information collected, it is going to predict, for example, its maintenance. Let's imagine an intelligent system with information from thousands of the same cars; logically, incidents can be expected faster. It will also be possible to present solutions with software downloads.

In the same way that companies know a lot about us through our mobile devices, they will also get it with a connected car. Imagine that we are driving through a city that we do not know, and the system takes into account that we want to buy sunglasses. Passing near a store will remind us that there we can take a look.

4. In-vehicle manufacturing

Of course, we cannot forget the creation. The fact that there are robots on the assembly lines is not a novelty; the exciting thing is that they are sensitive to humans' presence and adapt to their rhythm and position so that nothing happens with them.

They call them collaborative robots  (cobots), and there is a lot of artificial intelligence in them. A leading company in this field is Germany's  Rethink Robotics. On a second level, we have the AVG or Automated Guided Vehicles, capable of moving through a factory with cargo without humans' intervention.

Other fields where robots are being introduced are in the painting of cars or their chassis' welding. Companies are also working on the prevention of failures in car factories based on machine learning, such as the case of  DataRPM.

5. AI Insurance

Another field that will evolve in the coming years is related to insurance companies and intelligent processes. Predicting what will happen is essential for a company dedicated to ensuring our belongings, so all the tools that help evaluate possible risks are welcome.

An AI will be able to predict breakages based on our use and car and help us with accident reports.

Some applications will report what it will cost to fix a car in an accident for the user. For example,    2.0  allows damage to be recorded on video and sent to the insurance company. The user will be informed of what it will cost and how much the insurer covers in the process.