6 results about "Pupillary response" patented technology

An exemplary system provides a display and a camera on the same side of a device. In some examples, instead of providing a stimulus with a flash of light, the system may utilize the user's eyelids to dark-adapt the pupil and mediate the stimulus using ambient light and / or the light from a display. Use of a front-facing display and front-facing camera further allows the disclosed system to control the ambient lighting conditions during image capture to ensure that additional pupillary stimulation does not occur while measuring the primary pupil response.

Methods and systems for administering a modular and / or flexible eye test to patients are presented that leverages on the visualization, processing, and eye tracking capabilities of a head mounted display (HMD). In an embodiment, a method for evaluating the pupillary responses includes using a head mounted display (HMD) worn by a patient to expose a first eye to light stimulation in accordance with a relative afferent pupillary defects (RAPD) eye test, an imaging device of the HMD receiving image data of the first eye, then exposing a second eye to the same RAPD eye test and receiving image data of the second eye, and generating at least one test result by using the image data of the first eye and the image data of the second eye.

The present disclosure is directed to systems and methods for measuring pupillary responses to visible light stimuli. An exemplary system provides a display and a camera on the same side of a device; the display provides a visible light stimulus to illuminate a user's face and cause a pupillary reflex. A visible light or infrared camera thereafter receives image data of the pupillary light reflex. In some examples, an ambient light sensor and infrared measurement systems allow for performing pupillary light reflex assessments in low lighting conditions.

An example system has a display and a camera on the same side of a device. In some instances, the system can utilize a user's eyelids to dark adapt the pupil and use ambient light and / or light from the display to adjust stimuli, rather than using a flash to provide the stimuli. The use of a front-facing display and front-facing camera further allows the disclosed system to control ambient light conditions during image capture to ensure that no other pupil stimuli are generated when measuring the raw pupil response.

A portable ophthalmic diagnostic system comprises a housing containing a red reflex illumination subsystem for visualizing lens and optical clarity, and a digital slit lamp subsystem with an adjustable dual-sided illumination source and digital imaging sensor for capturing eye images. The system includes an artificial intelligence processing interface that analyzes red reflex and slit-lamp image data to detect and classify ocular conditions including cataracts and optic nerve abnormalities. A colorimetric pupillary light reflex testing module assesses pupil constriction response using multicolor illumination. The system features a user interface displaying real-time images, diagnostic outputs, and AI-based classification results. The system enables computer-implemented methods for detecting ocular conditions through image capture, AI processing, red reflex analysis, cataract classification, pupillary response testing, and diagnostic report generation. The portable design includes telemedicine functionality for remote clinical consultation and cloud-based data storage for tracking disease progression.

Method for monitoring the pupillary response of at least one pupil of a driver in a vehicle (1), the method comprising the following steps: • Illuminating a traffic sign using a high beam assist system (2), wherein the illumination of the traffic sign is continuous or pulsed (P1); • Measuring the pupillary response of the driver, wherein the pupillary response includes a diameter and dynamics of the at least one pupil and wherein the measurement is performed using a camera (3) (P2); • Classifying the pupillary response based on the measured values ​​obtained by the measurement (P3); • Determining a risk level (P4).