Introduction
Computer vision is a subfield of artificial intelligence that focuses on enabling computers to interpret and understand images and videos. The technology has revolutionized various industries by allowing machines to perform tasks that were previously done by humans.
What is Computer Vision?
Computer vision is a process of acquiring, analyzing, and understanding visual information from the world using computational techniques. It involves several stages, including image acquisition, preprocessing, feature extraction, object recognition, tracking, and segmentation. The output of these stages is used to generate insights and make decisions based on visual data.
How does Computer Vision work?
Computer vision works by analyzing pixels in an image or video frame and extracting features such as edges, corners, and colors. These features are then used to train machine learning models to recognize objects, classify images, and perform other tasks. Computer vision algorithms can be trained using supervised or unsupervised learning techniques. Supervised learning involves providing the algorithm with labeled data, while unsupervised learning does not require labeled data.
Applications of Computer Vision
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