Smart Monitoring

The advantage of our special kind of ‘expert system‘ is the combination of Human Intelligence [HI] and Machine Learning [ML].

For the strength of humans is the recognition of patterns and of change.

The power of machines is number crunching.

We take the best of both worlds:

  1. Domain Experts who are familiar with their images, select ‘reference images‘ and examine their re-visualisations;
  2. Reference Images are representative of ‘standard’ or ‘normal’ conditions;
  3. Selection Criteria formulate what they are looking for;
  4. Boundary Conditions set the limits for ‘extreme’ situations;
  5. Monitoring Operators notice how many images are ‘off limits’;
  6. Quality can thus be observed over time and controlled by quantitative formulae.

Visually, Domain Experts see the light-  and colour-infused ‘make-up’ of objects and phenomena in True Colour 3D.

Numerically, the quantifications are carried out in Digital Colour Brightness:

  • the digital representation of Light and Colour – as produced by the respective imaging technology.

Metrically, the values need to be associated with measuring units pertaining to the image content:

  • Domain Experts know what they are looking for and what they would like to compare numerically over time:
    • quality of events and processes during production;
    • properties of materials;
    • characteristics of nanoparticles;
  • Domain Experts build their own ontology or choose their terms from existing ones.

© Copyright Sabine K McNeill 1996 – 2017