Computer Vision

Computer vision is the field of artificial intelligence that enables machines to interpret, understand, and act on visual information—images, video, depth data, and real-time camera feeds. It is the technology that gives AI agents and machines the ability to see.

Modern computer vision is built on deep learning, particularly convolutional neural networks (CNNs) and, increasingly, vision transformers adapted from the transformer architecture that powers language models. These systems can recognize objects, faces, gestures, and scenes with accuracy that matches or exceeds human performance in many tasks.

In the metaverse and spatial computing, computer vision is essential. It powers the inside-out tracking in VR headsets, hand and eye tracking for gesture-based interaction, scene understanding in AR devices, and real-time environment mapping for mixed reality. Smart glasses use computer vision to understand what the wearer is looking at, enabling contextual AI responses.

The multimodal capabilities of modern AI have merged computer vision with language understanding. You can show a foundation model an image and ask questions about it in natural language. This convergence enables new applications: visual search, automated document analysis, quality control in manufacturing, medical image interpretation, and AI agents that can navigate web interfaces by understanding what they see on screen.