Computer vision / production

Seeing is not enough. It must become a decision.

We design computer vision systems that detect, count, measure and verify within industrial processes—connecting the result to the software that must act.

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01 / Applied vision

A camera is only the beginning.

The engineering lies in controlling capture, defining criteria, handling uncertainty and delivering an output the process can use. A solution may combine classical vision, machine learning, rules and human validation.

02 / Real product

From capture to model, inside one platform.

A product developed by Appkadia for a real industrial environment. It brings together image capture, dataset preparation, manual and AI-assisted annotation, training, testing and model execution. This is not a demo: it is operational software built around the process.

Real interface of an industrial computer vision platform developed by Appkadia, showing image capture and AI-assisted annotation
REAL SYSTEM / REDACTED

Real product screenshot. Identity and operational identifiers have been anonymised.

03 / Applications

Check what matters, at the right moment.

01

Detect

Locate presence, absence, position or a relevant visual condition.

02

Count

Turn an image sequence into traceable quantities and events.

03

Measure

Extract dimensions or relationships when optics and environment allow it.

04

Verify

Compare the result against defined criteria and route it into the right workflow.

04 / The difference

Vision ends inside the process.

We integrate the result with MES, IoT, alerts, histories and interfaces. Detection stops being an isolated proof of concept and becomes part of the system.

VISION · MES · IOT · AI

What does your process need to verify?

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