Colorface – Full face multimodalities acquisition solution
What are the limitations of visual inspection for assessing skin conditions?
Clinical analysis of the skin can be challenging due to the subjective nature of visual inspection, which can vary depending on the evaluator’s experience and expertise. Indeed, visual inspection may not be able to detect subtle changes in skin texture, color, or pigmentation, which is even more difficult in the case of long treatments.
Additionally, some clinical evaluations may require invasive procedures, which the cosmetics and dermatology industries are currently trying to minimize.
What are the benefits of using instrumental methods for skin analysis?
There are several methods available for skin analysis and evaluation, including expert scoring and validated instrumental methods (such as corneometry, sebumetry, fringe projection, and cutometry). Yet, all of these methods still present some limitations (e.g. subjective analysis, poor reproductibility, or single-parameter evaluation).
To address these challenges, new technologies like artificial intelligence (AI), machine learning, and imaging devices are being used to provide more objective and accurate analyses of skin conditions. With standardized conditions for image acquisition and digital algorithms to quantify visible variations, these technologies can provide valuable insights into skin conditions.
Additionally, high-quality images can also be useful for marketing teams to illustrate the effectiveness of their products.
What is Colorface?
Colorface is a multimodal, full-face image acquisition system, which provides accurate and objective results. It combines high-resolution imaging and algorithms to capture and quantify visible and subtle variations in the skin color and texture, which may not be visible to the naked eye.
Colorface is a non-invasive tool, so it avoids the need for skin biopsies or patch tests.
Colorface also offers countless features that make it ideal for clinical trials:
- its full-face system does not require any support
- repositioning is simple and precise
- acquisition time is short
- multiple polarizations enable the simultaneous testing of different claims
The system is configured for quick and simple acquisition, reducing human error and stress on the operator, and the device requires minimal handling, allowing the technician to focus on the volunteer rather than on the device.
Download the technical data sheet
Why you should choose Colorface
- High resolution color sensor
- Specific ears positioning system
- 48 patchs color chart for stability
- Rotating system (45° right, 0° front and 45° left)
- Tunable ambiant lightning
- Up to 6 modalities
- Illustration mode with open eyes images
- Fast acquisition
- Fast and easy study manager
- Full resolution images with JPEG
- White balance management
- Automatic detection for Left, Face and Right position
- Real time quality control, color stability and subject positioning
- Repositioning with ghost mode
- Automatic image transfer on the CIPaaS
- Secured web portal for real time image vizualization
- Real time image validation and quality control possible
- Protocol certification by the sponsor with private access
- Every day data backup over the air
Colorface helps you investigate all skin parameters & substantiate your claims
- Skin Inflammation
- Skin Color & Evenness (pigmented spots, lentigo, make-up, etc.)
- Skin Texture & Roughness (scars, fine lines, wrinkles, etc.)
- Skin Gloss & Oiliness (acne)
- Skin Radiance
- Skin Hydration
- Skin Protection
- Periocular region (dark circles, etc.)
Related Publications & Articles
Campiche R., Trevisan S., Séroul P., Rawlings A.V., Adnet C., Imfeld D., Voegeli R. Appearance of ageing signs in differently pigmented facial skin by a novel imaging system. Journal of Cosmetic Dermatology (2019).
Voegeli R., Schoop R., Prestat-Marquis E, Rawlings A.V., Shackelford T.K., Fink B. Cross-cultural perception of female facial appearance: A multi-ethnic and multi-centre study. PLOS One (2021).
Voegeli R., Schoop R., Prestat-Marquis E., Rawlings A.V., Shackelford T.K., Fink B. Differences between perceived age and chronological age in women: A multi-ethnic and multi-centre study. International Journal of Cosmetic Science (2021).
Marin Q., Honda T., Nakajima H., Okano Y., Cherel M., Prestat-Marquis E. Analysis of correlation and construction of a predictive model of skin transparency using parameters from digital images of the face. Skin Research & Technology (2022).
Marin Q., Honda T., Okano Y., Cherel M., Prestat-Marquis E. Comparative analysis of original face and skin-warped average face images for the scoring of skin attributes. Skin Research and Technology (2023).