In the vast realm of artificial intelligence (AI), Computer Vision stands out as a remarkable field, harnessing the power of machine learning and neural networks to extract valuable insights from digital images and videos. Similar to human vision, Computer Vision enables systems to perceive their surroundings, identify defects, and take appropriate actions based on visual cues.
Unlike humans, who rely on years of contextual learning, Computer Vision achieves these feats through rapid analysis of data using cameras, algorithms, and deep learning techniques. By scrutinizing thousands of images per minute, it surpasses human capabilities, making it indispensable across various industries such as energy, manufacturing, and automotive.
To comprehend visual data, Computer Vision employs two fundamental technologies: deep learning and convolutional neural networks (CNNs). Deep learning algorithms empower machines to discern patterns within visual data, while CNNs dissect images into pixels, enabling the recognition of objects and shapes.
