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.
