Arvutivisionis

Arvutivisionis, commonly known as computer vision, is a field of artificial intelligence that enables computers to "see" and interpret the world through images and videos. It involves developing systems that can acquire, process, analyze, and understand visual data. The goal is to automate tasks that the human visual system can perform.

The process typically begins with image acquisition, where cameras or other sensors capture visual information. This raw data is then preprocessed to enhance its quality, such as noise reduction or contrast adjustment. Following preprocessing, feature extraction is performed to identify relevant characteristics within the image, like edges, corners, or textures. These features are then used by algorithms for tasks such as object recognition, classification, segmentation, or tracking.

Computer vision has a wide range of applications across various industries. In healthcare, it aids in medical image analysis for diagnosis. In autonomous vehicles, it's crucial for navigation and obstacle detection. Security systems utilize it for surveillance and facial recognition. Manufacturing employs it for quality control and robotic guidance. Other areas include augmented reality, image search, and content-based image retrieval. Advancements in machine learning, particularly deep learning, have significantly propelled the capabilities and accuracy of computer vision systems in recent years.