arvutivisioni

Arvutivisioni, also known as computer vision, is a field of artificial intelligence that enables computers to "see" and interpret the visual world. It involves the development of systems that can acquire, process, analyze, and understand images or videos. 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 data. This raw data is then preprocessed to enhance its quality, such as noise reduction or contrast adjustment. Following preprocessing, feature extraction identifies relevant characteristics within the image, like edges, corners, or textures. These features are then used for tasks such as object recognition, where the system identifies specific objects in the image, or image segmentation, which divides an image into multiple segments or regions.

Applications of arvutivisioni are widespread and continue to expand. They include self-driving cars that use computer vision to navigate and detect obstacles, medical imaging analysis for diagnosing diseases, security systems for surveillance and facial recognition, and industrial automation for quality control and robotic guidance. Augmented reality and virtual reality also heavily rely on computer vision to map and interact with the real world. Research in this field focuses on improving accuracy, robustness, and efficiency, particularly in challenging conditions like low light or occlusions.