Machine Learning & AI

Analyze the road situation instantaneously

Our Machine Learning & AI services

Our Machine Learning & AI services

Intellias develops AI solutions for automotive that use computer vision to recognize road signs and analyze patterns of human behavior to make data-driven decisions on the road. Applied to vast quantities of historical and real-time data, AI algorithms can predict travel time, traffic congestion, and even vehicle breakdowns. The adoption of machine learning to automotive industry can also offer route recommendations based on fuel consumption and even parking availability.
  • Smart routing and POI optimization

    Teaching a vehicle the most commonly used routes and points of interest

  • In-vehicle intelligence

    Reinforcing communication among navigation systems, human machine interfaces, and location platforms to inform drivers about hazardous road situations

  • Computer vision

    Enabling lane detection and recognition of pedestrians, traffic, and road signs based on deep learning methodology

  • Predictive decisions

    Predicting road conditions in advance to make data-driven decisions based on smart analytics and big data

  • Predictive vehicle maintenance

    Collecting data from in-vehicle units and applying predictive analytics to alert drivers about urgent or planned maintenance

Technologies

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Automate driving with AI and machine learning algorithms

Hands-free driving

Neural networks are becoming the technology that can replace humans behind the wheel. With deep learning algorithms, vehicles learn how to overcome difficult road situations and keep drivers, passengers, and other traffic participants safe. AI in automotive helps to minimize the human factor on the road and increase traffic capacity of roadways.

Artificial intelligence is paving the way from Level 1 driving automation to Level 5 automation, making it possible for drivers to relax behind the wheel. AI-powered systems help vehicles react to hundreds of sensors in real time. Currently, artificial intelligence in the automotive industry is at the stage of training the technology to accurately decipher inputs and make wise decisions in real-world traffic situations.

Improved safety

Safety is one of the main concerns people have about driverless cars. Autonomous car manufacturers have to ensure that their vehicles are entirely safe on the road. The task of machine learning in the automobile industry is to help vehicles define obstacles on the road, whether trees, other vehicles, or pedestrians.

With the help of machine learning algorithms, we can create multiple vehicle behavior models to help cars recognize the world around them and react to the ever-changing environment. Machine learning in automotive boosts data processing and allows cars to make decisions faster than drivers, eliminating human error — which is the cause of some 90% of crashes.

Predictive maintenance

Artificial intelligence in car manufacturing can drastically optimize the way automakers handle vehicle maintenance. With an AI-powered autonomous vehicle, you’ll never find yourself stuck in the middle of nowhere in a broken-down car. Artificial intelligence and machine learning predict failures before they happen.

AI-based systems collect data about the most critical parts of a vehicle, detecting anomalies and patterns of failure. After processing this information, the vehicle informs the driver about any potential issues, optimizing the use of car resources. We follow best practices of machine learning in the automotive industry to empower predictive maintenance and management.

We deliver for

Intellias client
Intellias client
Intellias client
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Intellias client
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Intellias client
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