An overhead lens scans a dented cardboard box and places a bright green outline around its damaged corner.
POC-reviewed visual · version 1

Concept dictionary

Computer Vision

Vision is the AI modality focused on images and video, including tasks like recognition, detection, segmentation, and scene understanding.

Review state
Reviewed in POC
Freshness
Current
Version
2

Also called

  • Computer Vision
  • Machine Vision

Remember it this wayComputer vision turns pixels and frames into task-specific information.

In plain language

Computer vision is the field of building systems that extract useful information from images or video. Common tasks include classification, detection, segmentation, tracking, and scene understanding.

Why it matters

Visual data can be powerful and ambiguous. Knowing that a system performs a particular vision task helps people ask what it detects, how it was evaluated, and where lighting, viewpoint, or data gaps may cause failure.

Example

A warehouse camera system detects damaged packages and marks the image region that triggered the alert for a human inspector.

Common misconception

Computer vision does not mean a computer sees or understands the world as a person does. It performs bounded operations on visual signals.

Related terms

Sources

Learn more

  • Compare [[image|Image]], [[video|Video]], [[multimodal|Multimodal]], and [[deep-learning|Deep Learning]] to place Computer Vision in the surrounding system.
  • Follow the cited source material above for the method, standard, or research context behind this draft.

Reviewed in POC · last human review 2026-09-03 · content version 2 · visual version 1

Source and POC details

Source: learning-library/glossary/terms/computer-vision/term.md

Source hash: sha256:0f8bed2d176db2901c9a8a862327e141d77db1c57d147d8dcc8298546949c23b

Media: POC-reviewed evidence; RS AI Learning Lab, Owned production asset.

Release: glossary-team-poc-0.5.5-2026-09-02 · not production approved