Throughout the years, Artificial Intelligence (AI) has made breakthroughs in nearly every industry, and the automobile world is no different.
In fact, just last year, a survey on Forbes showed that 10% of auto companies have been using AI at scale. The same survey also noted that 80% of companies have already included AI in their core strategy. Though the technology has been slow in terms of mass adoption, it’s only because most of it is still in its testing phase.
From vehicle inspections to autonomous driving, here are five applications of AI in the automotive industry that are currently helping to improve operations.
Manual inspections are time-consuming. In response, Israeli startup UVeye created an automatic vehicle inspection AI that can detect defects in up to four seconds. The system has high-speed sensors, data processors, and other proprietary technology that allow it to do its job. UVeye can even do predictive maintenance, informing the owner and mechanics of potential issues before they become a serious problem. Other tech companies like ProovStation and Scope Technology are also breaking new ground with this innovative application.
AI makes self-driving cars possible. Aside from estimating distance and maintaining fuel efficiency, self-driving cars are able to evaluate their surrounding environment thanks to sensors, radars, inertial navigation systems, and more—all tools that take advantage of AI.
These advancements have turned the automotive and mechanic industry on its head, rendering traditional solutions no longer applicable. As further testament to its complexity, driverless cars also require a different type of maintenance; going beyond the basic knowledge of car parts. Altium’s post on the various types of PCBs notes that these circuit boards are so revolutionary that they need specialized expertise to handle assembly, repairs, and diagnoses. In addition, Wired claims that the self-driving age will demand a new level of manufacturing expertise and AI know-how to ensure its success. Companies like Tesla and GM Cruise are at the helm of this seismic shift.
Then again, self-driving cars do more than just offer a new level of convenience. This technology is also used to enhance the in-car experience. Kia Motors, in collaboration with the Massachusetts Institute of Technology, has developed an AI called R.E.A.D (Real-time Emotion Adapting Driving), which can analyze its passenger’s emotions to alter certain aspects of the cabin, such as music and temperature. Similarly, BMW’s newer models will automatically come with the Intelligent Personal Assistant—an AI with similar features as R.E.A.D but is voice-activated.
One of the most celebrated uses of AI in the industry is in the creation of ride-hailing apps. Experts report that ride-hailing is growing in adoption, and Tech Cycled even predicts that the industry will be worth a staggering $218 billion by 2030. AI is responsible for analyzing traffic data, demand, and supply, which enables it to generate fair prices for its passengers. It’s also the reason why drivers tend to receive trips closer to their homes at the end of the day. Major operators such as Uber and Lyft are exemplary examples of this technology in action.
AI isn’t just used to advance vehicle technology in the industry; it’s helping out in the corporate sector too. True enough, AI in auto insurance was valued at $1 billion back in 2018. But now, the India Times expects it to be worth $5.5 billion by the end of 2027. Insurers like Liberty Mutual and Ant Financial are using AI to create individualized policies, automate writing processes, and provide accurate estimates for coverage and premiums.
AI continues to strive for better, faster, and more convenient experiences—three ideals that auto companies are gearing towards, too. It’ll be interesting to see where this collaboration ends up in the coming years.
Written by Aicee Myrtle
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