Computer Vision refers to the field of artificial intelligence that enables computers and systems to interpret, analyze, and understand visual information from the world, such as images and videos. It involves processing and extracting meaningful data to perform tasks that typically require human vision.
Characteristics:
– Involves image and video recognition, classification, and processing.
– Uses algorithms to detect patterns, objects, and features within visual data.
– Often incorporates machine learning and deep learning techniques.
– Enables automation of tasks like facial recognition, object detection, and scene understanding.
Examples:
– Self-driving cars using cameras to identify pedestrians, traffic signs, and other vehicles.
– Medical imaging systems detecting tumors or abnormalities in X-rays or MRIs.
– Retail stores using computer vision for inventory management and checkout-free shopping.
– Social media platforms automatically tagging people in photos.
