Abstract:
The present disclosure relates to hair readers, dispenser devices, and related systems and methods. For example the present aaplication relates to a method of optically acquiring data from keratinous fibers, the method comprising: a. illuminating the keratinous fibers such that light reflected and/or deflected and/or transmitted by the fibers is incident upon a detector and converted into electrical signals by the detector; and b. computing, from electrical signals, a plurality of spectra of the keratinous fibers such that each spectrum of the plurality of spectra respectively corresponds to (i) a different respective portion of the keratinous fibers and/or (ii) material within a different sub-region of space within which at least a portion of the keratinous fibers are disposed.
Abstract:
Novel systems and methods for performing treatment (e.g., coloration) of keratinous fibers are disclosed. The methods and systems utilize one or more of a dispensing device which is configured to provide customized composition for treating keratinous fibers (e.g., a coloring composition), optionally formed from tablets; an optical reader, for obtaining sufficient characteristics of the keratinous fibers to make a realistic prediction of the outcome of a treatment (e.g., coloring treatment); a computational units for predicting an outcome of a treatment, optionally being interfaced with the dispensing device and for selecting a customized treatment; and tablet formulations which are useful in preparing customized composition for treating keratinous fibers. Further disclosed are rapidly disintegrating tablets for use in the preparation of compositions for treating keratinous fibers.
Abstract:
Systems and methods for computing a hair-coloring composition (HCC) or for dispensing ingredients for the HCC are disclosed herein. In some embodiments, the system comprises a hair-treatment objective-prioritization user interface (HTOP UI) for receiving multi-objective relative-importance data describing a relative importance of different hair-treatment objectives (e.g. immediate post-treatment accuracy versus auxiliary goals, or one auxiliary goal versus another) for a potential hair-coloring treatment. In some embodiments, a hair-coloring-composition (HCC) prediction-engine is responsive to input received via the HTOP UI to compute, from the initial hair-state data and from the target color-state, a customized hair-coloring composition predicted to transform a color state of the user's hair from the initial color state to the target color state. This may be performed according to the multi-objective relative-importance data.