Computer Vision

Computer vision uses machine learning and deep learning models to identify patterns, objects, people, and other features within visual data. Models can be trained to classify images, detect and locate objects, recognize visual patterns, or analyze individual pixels. Techniques such as convolutional neural networks and vision transformers are commonly used to process complex visual information.

Computer vision allows organizations to automate tasks that traditionally require human visual inspection. It can process large volumes of visual data quickly and consistently, supporting faster detection, analysis, and decision-making across industries.