Designing machines that see, understand and interpret their environment

Just imagine a pedestrian glued to a mobile phone screen while crossing the street and not paying much attention to the red traffic light. A car approaches, its driver is perhaps feeling a bit drowsy because of lack of sleep and isn't able to stop immediately. How can you avoid an accident in such a scene? From advanced driver assistance systems (ADASs) helping drivers navigate a vehicle, to search and rescue drones, to medical X-ray imaging, embedded vision technologies are increasingly used in a wide range of applications. These involve the integration of computer vision in machines that use algorithms to decode meaning from observing pixel patterns in images or video.

from News on Artificial Intelligence and Machine Learning https://ift.tt/2ZQhima

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