with Virtual Realities
of algorithms to virtualise prior physical
Based on radiative
transfer models, CLVVR's tool kit virtualise any change on
fabric radiation collected in previous physical
experimentation. Our approach is to construct numerical
models that represent spectral optical thickness changes
of algorithms to predict spectral total, reflected
and luminescent radiance of virtual washing results
Computation is based on
the definition of virtual elements relevant to some
specific laundry environment: fabrics, soils and stains,
products/technologies, washing and drying stages
algorithms to process spectral radiance from virtual
washing results and estimate consumer perceptual visual
responses at laundry visual scenarios
Conduct in-silico experimentation that generates numerous types of predicted consumer responses, at several consumer relevant laundry scenarios. No one human being perceive the same as other. In vision, lightness and colour perception are different for different people under exactly the same context. At different visual context all perceptions can change
Algorithms also characterise variable consumer realities by the frequency of occurrence of visual stimuli that generate perceptions, from visual environments collected in a worldwide basis
support. A unique program to learn or improve
understandings about experimentation in consumer relevant
A battle tested, real-world learning, and customisable workshop focused to technical personnel, to support product and technology innovation efforts
What is the history of CONSUMERTEC in the area? Is CLVVR credible?
... we have more than 30 years in the area with several unique innovations
The unique CLVVR algorithms are the result of CONSUMERTEC, formerly DETERTEC, ample expertise in the worldwide laundry market. They are grounded in the following:
CLVVR is a proprietary sustainable innovation hold by CONSUMERTEC because it is line with our core academic dedication: fluorescence spectroscopy and the neurobiology of perception and action. Part of this dedication has been shared with the scientific community through more than 30 presentations around the world in the last 20 years. See Presentations and Papers.
What does CLVVR change in your detergency lab?
... it focus innovation on consumer and market realities in a new way
The laundry industry as any other consumer industry has been working in the last decade looking for alternatives to experiment and innovate using virtual technologies most of the time and only validate physically under very specific relevant conditions.
CLVVR is our approach in this area and we are sure that it has the potential to change everything and forever the way we and the industry conduct detergency studies. Can you imagine a detergency study that include:
.. laundry monitors: virtually created using two or more (+2) fabric substrates, soiled or stained with two (2) different levels of more than ten (+10) different materials, with four or more (4+) dingy surrounding. All in relevance to more than ten (+10) specific laundry regions?
.. procedures: virtually washed in two or more (+2) machine or manual process, using several products/technologies at two or more (+2) concentrations, and dried indoors (no UV) and outdoors with two (2) levels of natural UV radiation. All in relevance to more than ten (+10) specific laundry regions?
.. washing results: virtually evaluated by three or more (+3) categorical observers, perceiving at three or more (+3) different visual scenarios, with a perception variability that include three or more (+3) visual sensitivity or preferences?
.. with a cost of less than 10% of the physical alternative, conducted in just a matter of minutes?If additionally the final output is clearly understand from the perspective of finding the WHY of the final consumer perceptual response, then it is easy to understand why this approach change everything in the laundry industry.
How CLVVR positively influences laundry businesses?
... because consumers and scenarios occupies the centre stage in CLVVR
Laundry business is really about winning positive consumer experiences created by products and brands. Successful products in this highly competitive market are offering improved sensory experiences to demanding consumers whom perceive product benefits easily and consistently.
But nowadays competition is fierce, with an accelerated commoditisation of products and services, increasing price wars, and shrinking profit margins. The executives number one concern "sustained and steady top-line growth," can not possible be supported by existing low-productive innovation models. Today development and product introduction efforts in the consumer products industry are urged to accelerate the pace of innovation, with different cost structures, in a different time frame, being collaborative with external sources, and more importantly, are compelled to design products and technologies that offer superior perceived consumer value in line with benefits delivered by brands. In short, R&D has to develop affordable products/technologies with the ability to improve sensory experiences in consumer terms, fast and with less money, i.e. to develop better and cheaper products with a systematic focus on productivity. But, is that possible? how to execute this? ....That is the R&D challenge!!
CLVVR is in line with business models based on innovative developments focused on consumer and actual realities, and provides a competitive advantage because it reduces time and cost of the technology innovation process.
What means in consumer relevant terms?
... it means that detergency labs can include the variability of consumers and scenarios
provides the opportunity to include consumer realities at the
beginning of the innovation journey, not at the end. The
virtual experimentation matrix includes:
Selection of white commercial substrate fabrics that contains fluorescent whitening agents from textile mills
Set of clean, soiled, stained and coloured dingy test fabrics according to more than ten (10) regional laundry markets. Stained areas and coloured areas include adjacent dingy fabrics
Ample selection of actual source of illumination at relevant laundry market scenarios, outdoor and indoor, natural and artificial, and mixtures, with different UV relative content and illuminance.
Consumer ages between 20 and 60 years, variable parameters for field size, lens density, macula optical density, photopigments optical density, and photopigments lambda maximum shift. Individual colorimetric observer models.
Selected different visual contexts and surrounding as a basis to perform modern numerical calculations of colour attributes
Set of colour differences sensitivities with a different
degree of lightness, chroma and hue influences, in line with
different sensitivities to perceive cleanliness and
colour-care in the garment context