How Artificial Intelligence is Transforming the Automotive Industry

The value of Artificial Intelligence in automotive manufacturing and cloud services will exceed $10.73 billion by 2024. This prediction is made keeping in mind the value addition happening in this sector every year. In the present day scenario, if you think about the AI applications in the automotive industry, your mind will directly go towards driverless cars. However, AI can do more than that with the help of digital personal assistant. For example- it can keep us connected and safe while we are driving ourselves. 

Let’s look at the other applications of AI and how is it transforming the automotive industry.

1. AI Driving Features

Artificially intelligent cars offer two levels of functionality, i.e. Driver Assist and Fully Autonomous Mode. The difference between the two are listed below:

Driver Assist: It gives ample time for the wheels and the car control to sync in with AI before it puts in the co-pilot’s seat. AI enables advanced safety features for connected cars. Dozens of sensors help AI in identifying dangerous situations such as either it will alert the driver or take the emergency control to avoid an accident and save lives.

Driverless Automobiles: For nearly a century, the mechanical muscle to control a car has been within reach. An enormous amount of processing power is needed to drive a vehicle as driving involves more than just following a set of rules or an algorithm; it involves learning. Fully driverless cars are not yet a reality for most of us, but companies like Harman are working towards autonomous vehicles and has made this a reality.

2. AI Cloud Services

Both the functionality which are offered by autonomous cars merely lend a helping hand as they need gobs of data to do their thing. The AI cloud platform ensures that the data is available when needed.

Predictive Maintenance : Artificial Intelligence not only alerts us with check-engine lights, oil lights, and low-battery indicators but also monitors hundreds of sensor and helps in detecting problems before any of the vehicle operations is affected. AI monitors thousands of data points per second which enables it in spotting minute changes which may lead to a component failure- often long before the failure could leave you stranded.

Individualised Marketing : Advertising competition has become fierce between all the email ads, social media monetisation and pay-per-click website. Sorting the raw data to target qualified prospects has become difficult. With AI’s connection to big data, vehicle infotainment systems can be used to suggest products and services to drivers based on a wealth of raw data, for example, it can suggest a relevant restaurant according to the driver’s eating habits or the nearest gas station in case of low-fuel.

3. Driver Monitoring

AI can help in keeping an eye on the driver as well. It can detect driver’s behaviour mainly in four areas with advanced cameras and sensors.

Driver Identification: Intelligent personal assistant can quickly identify if the driver is sitting in the vehicle or not.

Driver Recognition: With advanced AI facial recognition algorithms, detecting who is driving the car has become easy. Moreover, the system will adjust seat, mirror and temperature according to the individual’s need.

Driver Monitoring: By observing the movement of the eyes, it can detect distracted driving and alert the driver, and in case of a crash, airbags will be deployed to reduce injury according to how the driver is seating.

Infotainment Control : Just because someone is driving does not mean they do not need to interact with the vehicle infotainment system. AI recognises simple hand gestures to allow the driver to control the infotainment system without taking their eyes off the road.

Artificial intelligence is changing the way people commute. These were some of the factors how technical advancements like personal digital assistant have brought a revolution in the automotive industry. It is evident that these developments will continue to maximise the driving comfort and release the risk factors involved.