Computer vision

AI that looks at pictures or video and identifies what is there or what is happening.

Where it creates value

Best suited to work like this.

Inspection support, microscopy analysis, image triage, asset monitoring, counting, and visual search.

What it does

The intelligent task.

Image classification, object detection, segmentation, tracking, visual similarity, measurement, and scene understanding.

Typical value

Turns images and video into consistent, searchable evidence and enables earlier detection of visible conditions or defects.

Where it performs well: Applies consistent visual analysis at a scale and speed difficult to achieve manually.

Value maturity · editorial assessment Established

Computer vision is widely used in inspection, imaging, and monitoring, with mature deployment patterns when image quality and operating conditions are controlled.

Emerging
Demonstrated
Scaling
Established

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TEC-0009 · How it works in practice

Computer vision

Read the card type together with the use case. A component can be central in one solution and enabling in another.

01 · Inputs

Images, video, labels, camera metadata, calibration information, and task definitions.

02 · Intelligent task

Image classification, object detection, segmentation, tracking, visual similarity, measurement, and scene understanding.

03 · Outputs

Classes, bounding boxes, masks, tracks, measurements, alerts, or annotated images.

Common application patterns

Inspection support
microscopy analysis
image triage
asset monitoring
counting
and visual search

Enablers

What must be in place.

Representative labeled images, suitable imaging conditions, camera or file integration, performance thresholds, and drift monitoring.

Where it struggles

Limitations and drawbacks.

Performance can fail when lighting, angle, equipment, product, background, or image quality differs from training data.

Human role

People remain accountable.

Experts define acceptance criteria, review uncertain detections, and investigate changing imaging conditions.

Connected use cases

Examples from the current use-case library.

Prevent quality escapesDetect packaging defectsManufacturing · Deployed Accelerate image reviewAutomate preclinical image analysisPreclinical · Pilot

Best suited to work like this.

The intelligent task.

What must be in place.

Limitations and drawbacks.

People remain accountable.

The card is the simple front door. The website can hold the full system behind it.