Eye Area Condition Algorithm

About Algorithm

  1. This Algorithm estimates the visual health of the skin area under both eyes, accounting for such deterioration signs as:

    1. visible dark circles - periorbital hyperpigmentation causing a more fatigued appearance, blue (vascular with a bluish/greyish tint) or pigmented (brown tint, darker than skin tone).

    2. detectable lacrimal grooves - deformity of the orbital fat and responsive change in the topography of the skin along the lacrimal groove line.

    3. detectable eye bags - puffiness under the lower eyelid caused by the loss of skin elasticity in the lower eyelid.

  2. This Algorithm estimates indicated skin health parameters on: right eye and left eye areas.

  3. The Main Metric for this Algorithm is the Eye Area Condition Score, with a range from 0 to 100.

    1. Values from 80 to 100 are considered as a relatively good skin condition.

    2. Values below 50 are considered as an alerting eye area condition, that might require specialist attention.

    3. Eye Area Condition Score is a non-linear combination of the Submetrics.

  4. There are several Submetrics for this Algorithm:

    • Dark Circle Score

    • Eye Bags Score

    • Lacrimal Grooves Score

    • Dark Circle Grade

    • Eye Bags Grade

    • Lacrimal Grooves Grade


Algorithm API

See Eye Area Condition Result Scheme


Last updated

Was this helpful?