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answered yes, then you are absolutely right. Computer vision is a field of artificial intelligence
that trains computers to interpret and understand the visual world. It is like imparting human
intelligence and instincts to a computer. In order to "teach" computers to replicate human vision,
programmers use the computer vision domain of the artificial intelligence.
Computer vision enables computers to see and identify images, processing them the way humans
would. Using images from cameras and videos, AI models enable machines to accurately identify,
and classify the objects as well as interpret and understand the visual world. Example , when you
upload a picture on Facebook, Facebook recognises most of the people in the picture and provides
suggestions to tag them. This is possible because of computer vision. The Facebook algorithm
first differentiates between the different individuals in the picture, and then identifies them by
comparing them to existing users.
Computer Vision (CV) domain of AI focuses on replicating the powerful capabilities of human
vision system and enables computers to identify and process objects in images and videos in the
same way that humans do. With the help of computer vision, computers derive meaningful
information from visual inputs and take actions or make recommendations based on that
information. For interpreting the visual world, computer vision uses deep learning algorithms and
artificial neural networks.
If AI enables computers to think, computer vision enables them to see, observe, and understand.
How does the Computer Vision
Work? By using computer vision,
AI machines can be trained to
perform functions in much less
time with the help of cameras,
data, and algorithms rather than
eyes and brain. The process
includes acquiring images,
selecting, analysing, identifying,
and extracting the required
information.
Applications of Computer Vision: Computer vision is very important in today's world. Let us
look at some important applications of it.
Self-Driving Cars Health Care Manufacturing Agriculture
detect movements diagnosis, assistive increase productivity planting, harvesting,
of pedestrians and surgery, drug and efficiency weather analysis
vehicles discovery
Facial Recognition Image Identification Automated Retail Robotics
security for devices, compares images, stores without space missions,
identification of search for images cashiers or checkout rescue missions
criminals stations
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