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Iotron AI

AI solution · Computer Vision

Detect, inspect and measure from images and video — at the edge or in the cloud — and connect the results to your systems.

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01The problem

Manual visual checks are slow, inconsistent and hard to scale.

The Iotron approach

We design around the camera, the lighting and the line speed you actually have, then decide what runs on the device and what runs centrally.

02Use cases

Where it makes a difference.

Each one scoped against a real decision, evaluated on your data and integrated with the systems you already run.

  1. 01

    Visual quality inspection

  2. 02

    Object detection and counting

  3. 03

    Video analytics for safety and operations

  4. 04

    Document and image classification

03How it works

From data to decision.

The typical architecture, from your data to a decision people can trust. Every stage is evaluated, monitored and logged.

  1. 01InputCapture (cameras/sensors)
  2. 02Stage 2Annotation and training
  3. 03Stage 3Model optimisation for the target hardware
  4. 04Stage 4Inference at edge or cloud
  5. 05OutcomeAlerts and integration

04Architecture & control

What it takes — and how it stays safe.

What goes in, what the system does with it, and the controls around every stage.

Inputs

Data you need

  • Representative images or video, including defects and edge cases
  • Labelling guidance from domain experts

System

From data to decision

  1. 01Capture (cameras/sensors)
  2. 02Annotation and training
  3. 03Model optimisation for the target hardware
  4. 04Inference at edge or cloud
  5. 05Alerts and integration

Controls

Security & governance

  • Privacy by design for video
  • Retention rules
  • Performance tracked against a labelled test set

Applied at every stage, not added at the end.

05Industries

Where it is applied.

Industries where we build this capability into operations.

Computer Vision: common questions

Edge or cloud?

Edge for latency, bandwidth and privacy; cloud for scale and easier updates; hybrid is common.

Do we need special cameras?

Often not, but image quality drives accuracy; we advise after a site review.

Get in touch

Ready to discuss Computer Vision?

Tell us where computer vision could change a decision or a workflow. We will give you an honest view of feasibility, data needs and the first step.