How Artificial Intelligence is Changing the Auto Industry

For more than seven decades, Artificial Intelligence (AI) has been the talking point of a technological revolution. As stated by John McCarthy, the father of Artificial Intelligence, “Artificial Intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs.” In simpler terms, AI is the ability of a digital machine to make decisions and perform tasks associated with humans. AI deals with analyzing how a human brain thinks and how it learns, decides, and acts in a situation.

Artificial Intelligence (AI) presents never-ending opportunities to revolutionize technology in every industrial sector, and the automobile industry is not untouched by AI. For example, the autonomous or self-driven car is the hotspot in the latest research, and every car manufacturer is investing heavily in it. IHS Automotive predicts that by the end of 2020, there will be more than 150 million AI-powered cars. Before discussing the application areas of AI in cars and their accessories, let’s highlight the benefits AI offers in the automobile sector:

  • Increased safety of the driver

  • Reduced failures due to consistent quality control

  • Refined driving experience

  • Lesser probability of equipment failure

  • Rise in productivity due to robot-human collaboration.

  • Better project management

  • Improved after-sales support

Car manufacturers are already using several AI features like voice-control, lane-switch, collision-detection, etc. to improve driver safety. As technology evolves, car accessories like video cameras, sensors, etc. are using AI to provide maximum comfort to the drivers. Let’s take a look at how AI is improving the car Industry:

Driver Assistance: 

Before we adapt to fully-autonomous cars, it makes sense to evaluate the capabilities of AI by incorporating driver-assist features. AI uses several sensors for blind-spot monitoring, collision detection, pedestrian detection, lane monitoring, etc. to identify dangerous situations and alert the driver accordingly. Similarly, AI-based algorithms can analyze the data from vibration sensors to detect anomalies. Moreover, with new technology coming up, you could determine the load the roof rack is carrying which can help prevent overloading.

Predictive Maintenance:

With AI, the concept of maintenance shifts from preventive to predictive one. Rather than depending on the event-driven or time-driven approaches for scheduling the maintenance, AI can help in providing actionable insights for your car maintenance. In addition to the historical data, AI uses sensors and contextual data like geographic or weather details. By analyzing the data and through machine learning, AI can offer alerts for real-time condition-based maintenance requirements for your car.

Driver Assessment: 

According to the history of the driver, AI can predict the issues resulting from his absent-mindedness. By analyzing the driving pattern, AI can predict the risk that might arise from the driver’s personal life or professional life. Similarly, by using fatigue monitoring devices, AI can monitor the vitals of the driver to alert him and take control of the vehicle in case of an emergency. An AI-driven camera can track drowsiness in the driver and trigger an alarm.

Enhanced Communication:

With AI, vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication is possible. With such technology, your car can communicate with other vehicles, as well as the road signs, traffic signals, etc. By enabling vehicles to communicate with each other, you can seamlessly enjoy advanced features like lane monitoring, lane switching, cruise control, etc. Similarly, V2I communication allows you to re-route your vehicle to avoid congested roads. In a nutshell, enhanced communication reduces the chances of accidents and takes you to your destination with less hassle. 

Smooth Insurance Claim Settlement:

The insurance sector deals with managing data from several fields, and AI offers immense potential for improvement. For example, an in-car camera can record accidents that might be helpful during legal or insurance settlements. Similarly, AI can quickly process the data and make the claim-settlement process faster. Using the data analyzing properties of AI, one can even prepare profiles of drivers and check the fraudulent claims.

Car Manufacturing:

Apart from elevating the driving experience, AI can transform the way we build cars as well. For over five decades, machines have helped in the assembly lines of the vehicle manufacturers. However, by using AI, we can develop smart robots that work alongside their human counterparts rather than working for them. For example, AI helps in designing autonomous delivery vehicles to transport components in a plant. Similarly, smart, wearable robots work collaboratively with workers to offer up to 20% increase in production efficiency.

Summing it up:

AI in the automobile sector promises to change the way we drive cars. The benefits of the AI car accessories are already visible, and its potential is endless. The rewards and opportunities of AI in elevating the overall safety and driving experience attract huge interest by tech-giants as well as startups.  

The application areas mentioned above give you a flavor of the AI in the car accessories market. From making the car safer to predicting the maintenance, from easing the insurance claim process to providing hi-tech features, AI caters to the all-round improvement in the driving quality.

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