It’s no surprise that AI is forecast to have a transformational effect on the automotive industry. Watching self-driving cars become a reality has set consumer imaginations alight, driving some of the world’s most innovative companies to prioritize the development of autonomous vehicles.
However, the impact of AI on the industry stretches far beyond the reach of the media flashbulbs. From collaboration with robots on the production line to infotainment systems that improve the in-car experience, there are business opportunities at every level for companies of all sizes. Whether car companies are looking to break into new sectors of the auto world or gain an edge in their current field, investment in AI is starting to look essential. Armed with machine learning and top quality training data, it’s possible to join the auto revolution and carve out a profitable niche in a world of immersive new driving experiences.
Machine learning applications for the automotive industry
A roadworthy autonomous vehicle must be competent in a wide range of machine learning processes before it can be trusted to drive on its own. From processing image and video data in real time to safely coordinating with other vehicles, the need for AI is as widespread as it is essential. Self-driving cars can do none of this without a huge volume of different types of training data, created and tagged for each specific purpose.
Speech recognition systems
Consumers are increasingly demanding a hands-free driving experience for both convenience and safety. Machine learning is developing the speech recognition systems needed to keep hands on the wheel and eyes on the road. With an extensive, well-annotated database, these can use natural language processing to cater to drivers’ needs in a variety of different languages. Some can also use audio speech analysis to process the emotional information in speech patterns, communicating with the car to reduce any stress in the driving experience.
Internet of Things
In a world of self-driving cars, it’s extremely important that machines are able to communicate with each other effectively. Safety is being drastically improved by the ability of individual vehicles to recognise erratic driving behaviour and forewarn other machines. The Internet of Things is also improving driver experience, allowing cars to receive over-the-air-updates and complete errands as they pass relevant locations. This ability to monitor and assist the driver requires detailed image and speech data for a range of use cases in order to guarantee a safe, stress-free time behind the wheel.
With development happening at breakneck speed, automotive companies need reliable training data fast. Lionbridge’s expertise in a variety of areas, from data annotation to linguistic consulting, allows us to quickly create and label datasets that you can trust to move your model forward.
We’ve also spent the last 10 years obsessively refining our platform with your project in mind. We are able to handle versatile projects and data types with ease, while also ensuring that your project can scale effortlessly. Whether your data points number in the hundreds or the millions, we can deliver quality data on time and within budget.
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Audio speech analysis
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