Accelerate machine learning training for self-driving car information and enhanced speech recognition systems, car navigation and user experience using more accurate field testing


Using artificial intelligence, machine learning and training data for autonomous vehicles, and improvements to speech recognition systems, car navigation systems, including user experience, can now be accelerated with high-precision field testing. With the advent of autonomous vehicles, investment opportunities in this industry have increased dramatically. Now, this trend stems from two key reasons – the adoption of technology in the industry and the changing expectations of consumers.

For car manufacturers, this is an extraordinary leap. With the right training data and technology, automakers can not only let customers drive their cars, but they can also be part of a full-scale experience, moving seamlessly from one point to another.

Today, more and more consumers are increasingly relying on virtual assistants, and the high expectations of introducing the same experience to the car are also increasing. This can be said to be the best moment for car manufacturers to differentiate. By leveraging the right technology and the right training data, automakers can get customers to drive cars with integrated experience as they move from point A to point B in a very seamless way.

  • Self-driving car

Autonomous vehicles are very complex machines, and machine learning is the power of artificial intelligence. The forward motion of the car involves processing huge visual data similar to what the driver sees from the windshield of the car. Cars must give meaning to huge image data, just like identifying the meaning of trees and their structures and feeding them back into the car’s artificial intelligence for training.

  • Speech Recognition

Traditional dashboards and mobile devices distract the driver from the road. However, this does not happen on the voice interface. Networked vehicles need access to a large amount of voice data to train their voice interfaces. This will give customers from all over the world first-class user experience.

  • Predictive behavior

In the human-machine interface, the evolution of speech recognition and the ability to track the driver’s mood are a crucial development. This allows the car to recognize the speaker’s emotions and speech. With this ability, they can understand when users are frustrated and respond quickly and appropriately.

Our Work

INCN technology has spent more than a decade of developing and developing our capabilities in the automotive sector. We are an active partner of renowned suppliers and original equipment manufacturers and support multiple languages. INCN Technology The Detroit team of experts now has the resources needed to advance your product development and testing workflow. We specialize in developing data for the automotive industry to enhance autonomous vehicles, enhance speech recognition, analyze emotions and more.