Our Smart Knowledge Engine is a New Instrument
for Digital Image Investigations and ‘Smart Monitoring’
The re-visualisation of 2D images in ‘True Colour 3D’ is a basis for automation, as ‘domain experts’ who are familiar with their images, have the opportunity for adding ‘metric limits‘. ‘Smart Monitoring‘ then means flagging ‘off limits’ events.
It ain’t easy to convey innovation or creativity. It’s easier to criticise than to create. For the viewer has preconceived ideas and notions and may be shocked by seeing something new, without being able to make sense. Our Smart Knowledge Space tries this.
Our Smart Knowledge Engine produces ‘newness’ with every re-visualisation. Neither I nor the developer can anticipate the look and feel. Who would have thought that Mona Lisa starts out with closed eyes and then opens them, as you move the object!
Our engine is ‘work in progress’ – not open for business yet. But here is a 3-page document to take it to the next level:
|As a taster of
‘True Colour 3D’, here is
Mona Lisa who can be moved around when driving our Smart Knowledge Engine and you watch her eyes open before you.
|This re-visualisation is a movable object to investigate structure and new measurements – as in this cryo microscopy image on the Wellcome site|
|From The Institute of Making at UCL: a Quantum Tunnelling Cord. Its re-visualisation shows ‘Digital Colour Brightness’ in every original image pixel.|
|This ball made from polystyrene foam is coated with graphite. Our software shows details of the coating with ‘pixel accuracy’ and in different light and colour.|
Metrology is based on physical measuring instruments that result in measurements with uncertainties and probabilities. Our solution replaces these ambiguities by ‘virtual measuring’ with ‘pixel accuracy’.
Conceptually, the innovation consists of the translation of new mathematical spaces and transformations into code that is available online as Software As A Service.
In terms of software, a prior offline prototype, rewritten with state of the art graphics, allows now for the re-visualisation of any digital image as a movable object in ‘True Colour 3D’.
Compared with the current state of the art of imaging technologies, our ‘Smart Knowledge Engine’ shows unique re-visualisations, as the prior offline prototype did already – not only of images, but also of multi-dimensional time series – albeit as ‘work in progress’ rather than ‘open for business’.
Instead of offering a tool with which to measure new parameters, our generic solution offers independence of scale, technology and of application, by re-visualising images in a new kind of ‘True Colour 3D’ which has visual and metric characteristics and advantages.
Visually, the re-visualisations of images provide the effect of
- seeing structure more clearly for any imaging technology at micro- and macro-scales.
On the metric level, our solution offers:-
- ‘Digital Colour Brightness’ in ‘True Colour 3D’ as a new ‘digital yardstick’:-
- the evaluation of physical properties, chemical characteristics and biological processes – in the context of their respective applications;
- the determination of ‘reference images’, ‘reference materials’ and for example references for health or other conditions;
- the development of references and standards – for imaging technologies and their corresponding screen resolutions.
With the right kind of experts, institutions and companies, it will thus be possible to establish industry standards for
- the best possible resolution of screens and displays
- to match the translation by imaging technologies of light and colour into digits
- resulting in the best combination of technology and screen for any given scale and application.
Re-visualisations allow everybody to see more – whether in famous paintings, their own camera images, microscopic or telescopic images online.
The domain expert, however, whether an imaging technologist or a radiologist, a pathologist or an astronomer, will want to measure and compare images in automated processes.
Our unique approach to the numbers that underlie digital images includes the numerical comparison of images.
Re-visualisations thus serve the expert to set boundaries, in terms of Digital Colour Brightness, of whole images, single images or Regions of Interest. Automated numerical comparisons can then flag all those that are above or below such boundaries.
Operators, in collaboration with experts, will learn from the processing and the ratio between the number of processed images and those that are ‘off limits’.
Compared with Artificial Intelligence and Machine Learning, our Smart Feedback system will apply only to images and structured data.
“Humboldt had a horror of the single fact, believing that in order to explore any one thing, one needs to approach it from all sides…
Every discovery opens up the imagination further, stimulating more discovery:
it enlarges the sphere of ideas, excites a taste for investigation,
while the creation of new instruments of observation increases the intelligence.”
Since e = mc2, the hunger for a single formula solution seems to be commonplace. However, while e and m are variables representing the physics of energy and matter, c is a measure of speed, i.e. of movement in time. Measurements are associated with uncertainties and probabilities. In this formula, they are ‘aggravated’ by the arithmetic operation of squaring.
The phenomenon measured is light which ‘embeds’ colour.
Similarly, our Digital Colour Brightness combines physical phenomena with light and colour, as the result of ‘coded thinking’ or ‘modelling’ with ‘pixel accuracy’. It is the basis for new explorations into virtual worlds of data and images that have opened thanks to ‘digital’ as a ‘code word’.