Abstract: The present invention relates to biometric identification using a combination of static pattern characteristic unique to an individual and a measure of a dynamically changing blood flow characteristic for the individual. Images are acquired of the microvasculature of the outer eye (e.g. the sclera) which presents a unique pattern for each individual which can be determined using image processing and artificial intelligence (AI) techniques. A series of images are acquired of the microvasculature of the outer eye (e.g. the sclera) at a higher magnification thereby allowing for the determination of blood flow (e.g. velocity) characteristics using computer vision and AI techniques. The pattern and blood flow characteristics are used in combination to determine the identity of the individual.

Abstract: The present disclosure relates to computing blood pressure from images of the outer eye of an individual. Images of the outer eye of an individual obtained via a high magnification camera can be analyzed using computer vision to identify features associated with blood vessels in the outer eye, such as blood vessel size or diameter, blood vessel wall thickness, distance between vessels or vessel segments, area between vessels or vessel segments, and/or blood velocity through the vessels. These blood vessel features derived from images may be used to compute a blood pressure measure(s) for an individual through use of an artificial intelligence algorithm which relates the blood vessel features to blood pressure values.

Abstract: The present disclosure relates to computing blood pressure from images of the outer eye of an individual. Images of the outer eye of an individual obtained via a high magnification camera can be analyzed using computer vision to identify features associated with blood vessels in the outer eye, such as blood vessel size or diameter, blood vessel wall thickness, distance between vessels or vessel segments, area between vessels or vessel segments, and/or blood velocity through the vessels. These blood vessel features derived from images may be used to compute a blood pressure measure(s) for an individual through use of an artificial intelligence algorithm which relates the blood vessel features to blood pressure values.