Progress in Smart Knowledge Space: Re-Visualising Images as a Basis for Automation

The latest banner is a little taster of what our Smart Knowledge Engine can produce:

17 03 12 Banner grey 940 198

Blood cells and 3D Graphene at ‘digital nanoscale’, the Mona Lisa painting that gets her to open her eyes before yours, when you tilt the image as a movable object, Antarctica from a satellite image and the sun from a video of the Starshot project: our Smart Knowledge Engine deals with any technology, at any scale, in any ‘domain’ – for detailed investigation with a kind of ‘software lens’ or ‘image filter’.

Re-visualisations serve the purpose of setting boundaries for automating the processing of images:

  • our numerical analysis of images allows for comparisons of
  1. series of images, as in video or CCTV
  2. single images
  3. and selected Regions of Interest;
  • this is our ‘smart feedback system’ that combines ‘artificial intelligence’ [AI] with ‘machine learning’ [ML] by
  1. using human expertise to analyse and interpret ‘reference images’;
  2. crunching numbers to compare the references with deviations;
  3. within ‘boundaries’ set by human experts;
  4. where ‘tolerances’ are varied, as humans learn from references vs ‘bulk’ and machines from the ratio of ‘within’ and ‘off limits’.

To automate the scanning of videos could thus be one application. I’ve always anticipated the monitoring of the quality of production via small cameras or microscopes – whether drugs or car vanishing… But the sky is the limit, for those who practise ‘blue skying’…

Smart Knowledge.space is the ultimate domain that will demonstrate our ‘Smart Knowledge Engine with its capabilities and benefits. It is a work in progress that has taken my offline prototype into the current state of hardware and software capabilities.

My ‘deeply embedded’ digital thinking is clearly very far removed from conventional innovation, design, research and commerce.

However, time is NOT money, as we’re made to believe. Hence it is important to come out not only with our ‘re-visualisation’ technique, but also ‘layering’ that will allow you to ‘dice and slice’ your data, as you sort it according to priorities and

Deep thinking gets lost between the small screen of a phone, emails for appointments and fake news. Hence it is important that I convey the essentials by

  1. Screenshots that illustrate our particular ‘shade of 3D’: ‘True Colour 3D’;
  2. Videos that show the use of our Smart Knowledge Engine when I move a 2D image around, zoom in and out, rotate, tilt and change light and colour;
  3. our Work in Progress as it changes every time our ideal developer adds features and improves user friendliness.

So, here I just share what enchants me, hoping that others follow with ‘wow’ and ‘amazing’!

One thing is for sure: the larger the screen, the more dramatic the impact of 2D images as ‘3D movable objects’ in ‘True Colour 3D’!

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About Sabine Kurjo McNeill

I'm a mathematician, software designer, system analyst, event organiser, independent web publisher and online promoter of positivity.
This entry was posted in Digital Colour Brightness, Image Analysis, Movable objects, True Colour 3D. Bookmark the permalink.

One Response to Progress in Smart Knowledge Space: Re-Visualising Images as a Basis for Automation

  1. Pingback: Sabine and her Amazing ‘Smart Knowledge Engine’ | HOAXTEAD RESEARCH

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