Video

Cognitive Computing

Autonomous Car - AI Powered Vehicle using Machine Learning

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Case Study

Video

Cognitive Computing

Autonomous Car - AI Powered Vehicle using Machine Learning

Watch Now
Case Study

Overview

Worry less while driving! Autonomous cars utilize Machine Learning to detect potential hazards and alert the driver to minimize risks while on the road. The car is able to identify roadway lanes and types, other cars, pedestrians and cyclists in its surrounding.

In this video, we showcase how the car senses and alerts the driver while travelling on busy highways and through winding roads. This model was created with Python Libraries such as CNN, TensorFlow and OpenCV.

Insights Hub is a video series brought to you by Miracle's Data Practice. For more videos please visit http://www.miraclesoft.com/insighthub...

Worry less while driving! Autonomous cars utilize Machine Learning to detect potential hazards and alert the driver to minimize risks while on the road. The car is able to identify roadway lanes and types, other cars, pedestrians and cyclists in its surrounding.

In this video, we showcase how the car senses and alerts the driver while travelling on busy highways and through winding roads. This model was created with Python Libraries such as CNN, TensorFlow and OpenCV.

Insights Hub is a video series brought to you by Miracle's Data Practice. For more videos please visit http://www.miraclesoft.com/insighthub

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