What Is Computer Vision?
Computer vision is a field of artificial intelligence that enables computers to derive meaningful information from digital images, videos, and other visual inputs. Computers can store vast amounts of visual data, but they cannot automatically understand what is happening within an image or video. This requires slow, costly, and sometimes inconsistent manual human review for tasks like quality control, security monitoring, or content moderation.
How it helps#
It automates the analysis of visual information, allowing a business to instantly identify manufacturing defects, monitor a physical space for safety compliance, or categorize images without direct human intervention. This dramatically increases the speed, accuracy, and scale of any process that relies on visual inspection.
How it works#
A computer vision system is "trained" by being shown thousands or millions of labeled images. For example, to learn to identify a "cracked part," it is fed countless pictures of both perfect and cracked parts, with each image clearly marked. The system learns to recognize the specific patterns, shapes, and textures associated with each category.
Once trained, the system can analyze a new, unseen image and predict what it contains based on the patterns it has learned. It essentially breaks the new image down into its fundamental components and compares them against its training to make a determination—such as "cracked" or "not cracked"—with a calculated degree of confidence.
How it is different#
Computer vision is focused on extracting meaning and understanding from an image or video. This is different from basic image processing, which focuses only on enhancing or manipulating an image (like adjusting brightness or applying a filter) without necessarily understanding what the image contains.