All solutions

Visual intelligence for physical operations

Every frame. One clear action.

Use existing cameras to inspect quality, identify risk, track assets, and trigger the right operational response.

IP / ONVIFIndustrial camerasPLC / SCADAMES / WMSERPREST APIs

Important physical problems depend on someone noticing.

AIVatika connects the signal, the reasoning, and the next action.

01Camera feed
02Detect and decide
03Alert or action

Computer Vision / Live scenarios

Every frame becomes a clear action.

Choose a scenario. The system follows the frame through detection, interpretation, and action.

Your cameras already see what is happening. Aivatika helps your business understand it and act.

Line active

Components enter camera view

Camera 04 · Line 04 · continuous inspection

Tracking

Normal components pass

Geometry and surface checks remain in tolerance

Defect isolated

A surface crack is detected

Item 28491 · confidence 96.8%

Action dispatched

PLC routes the component to reject

Accepted production continues without pause

Record saved

The evidence reaches quality control

Frame, defect class and line event stored

From friction to outcome

See the system in context.

The current friction

Production quality

Manual inspection varies by operator and can miss defects at production speed.

1Capture each unit
2Classify the defect
3Route pass or review
The changed state

Every inspection creates a consistent decision and a searchable visual record.

Industrial cameras inspecting precision components on a manufacturing conveyor
Line inspection active at production speed
01 / 03
Quality engineer reviewing a machined component beside a fixed industrial vision inspection station
Real operating context

From interface to operation

Vision deployed where the physical decision happens.

01Real camera input02Defined inspection rule03Evidence reaches operations

Control and trust

Decision thresholds stay under your control.

Define confidence, review, retention, and edge-processing rules around the reality of each site.

Start with one real workflow.

What should your cameras notice before people have to?

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