Companies that got benefited from AWS — KIA MOTORS
- AWS has significantly more services, and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. This makes it faster, easier, and more cost effective to move your existing applications to the cloud and build nearly anything you can imagine.
- Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.
Kia Uses AI to Personalize Driver Experiences and Improve Safety.
AWS Machine Learning
- Keeping Customers Safe When Behind the Wheel
Artificial intelligence is transforming the automotive industry — both on the assembly line and behind the wheel. Fully autonomous vehicles are getting closer to reality, and semi-autonomous technologies that enhance rather than replace drivers are already appearing in cars today.
Kia Motors, the oldest automobile manufacturer in South Korea, builds more than 3 million vehicles a year for customers in 180 countries. In addition to external-facing sensors that assist with automatic braking and lane departure warnings, Kia is using computer vision inside the cabin to better understand and assist drivers. Using AI technology like Amazon Rekognition for advanced image and video analysis allows Kia to offer driver-assistance features like personalized mirror and seat positioning for different people behind the wheel.
For Kia, AI services for computer vision on Amazon Web Services (AWS) are embedded directly in the in-car system. With Amazon Rekognition, image and video data about the driver, such as changes in emotion, for example if the driver is smiling or looks tired, as well as environment data, is analyzed in real time.
“Recognizing who the driver is and who the passenger is, and then automatically creating their vehicle preferences is a simple way for KIA to use artificial intelligence in new ways,” says Hyungjoon Oh, Researcher for Hyundai Motors R&D. “AI technology like Amazon Rekognition allows us to seamlessly personalize the driving experience for our customers. It’s as simple as the driver uploading their photo when they purchase the vehicle, and then the in-car camera recognizes the driver and automatically sets the preferences.”
Improving driver safety using AI is a hard problem to solve. There are sensors to gather information about the driver’s environment including pedestrians, buildings and other moving objects. High-performance processors are needed to manage the inputs and controls. And machine learning algorithms are core to building the intelligence to help cars make recommendations to drivers or perform autonomously.
Kia’s goal is to use AI technology to enable in-car DUI detection, as well as to monitor driver fatigue, in order to help reduce fatality rates. For example, the in-car system may recommend not starting the car at all if intoxication is detected, switching to autonomous-driving mode to safely pull the car over to the side of the road if driver fatigue is detected. Or the in-car system may recommend switching to manual driving mode if there is extreme weather or missing lane markers on the road.
What is autonomous emergency braking?
AEB is a system that continuously monitors the road ahead and will autonomously apply the brakes if it detects any obstacle and doesn’t receive input from the driver. As you may have guessed by its name, AEB works autonomously, with no input from the driver. The system can also add braking force if you are pressing the brake, but weaker than a vehicle needs to avoid a collision. Every AEB system monitors vehicles and most of the time, pedestrians and other obstacles. The goal of the AEB system is to avert or lessen serious crashes by applying the brakes when sudden dangers arise or if the driver is not taking appropriate action quickly enough.
