A device for measuring facial anatomical parameters is provided. The device has a vertical bar having a top portion, middle portion, and a bottom portion and a horizontal slide adjustably affixed to the vertical bar. It has a forehead positioner pivotably and adjustably affixed to the top portion of the vertical bar, wherein the forehead positioner receives a forehead of the patient, a first mirror adjustably affixed to the left portion of the horizontal slide, wherein the first mirror is slidable along the horizontal slide, and wherein the first mirror rotates around its own Y-axis, and a second mirror adjustably affixed to the right portion of the horizontal slide, wherein the second mirror is slidable along the horizontal slide. A measuring grid on or proximate both the first mirror and the second mirror, wherein the measuring grids allows an examiner to accurately measure a point of interest of the facial anatomic parameters.

A system includes system housing, an eccentric radiation source, and a radiation sensor. The radiation produced by the eccentric radiation source can be collected by the radiation sensor to generate images of retinas for a patient. The system also includes a vision screening device connected with the eccentric radiation source and the radiation sensor via the system house that can control and synchronize actions for the eccentric radiation source and the radiation sensor. The vision screening device further analyzes the images generated by the radiation sensor via neural network algorithms to determine spherical error slopes, refractive errors, and recommendations for the patient.

The present disclosure relates generally to metrics used to detect or indicate a state of impairment in a test subject due to use of drugs or alcohol, and more particularly to metrics used in connection with a virtual-reality (“VR”) environment that implements drug and alcohol impairment tests, where the metrics are used to detect or indicate impairment.

A method of operating a pupillary distance system is disclosed. The method comprises the steps of capturing, with at least one camera of the pupillary distance system a 2D image and a corresponding 3D depth map of a face of a subject. A determination of pupil localization information is made using the 2D image and corresponding 3D depth map. The pupil location is further refined based on the pupil localization information. Pupil center coordinates are determined and the pupillary distance is calculated for a subject between centers of each pupil. Processes and uses thereof are also disclosed.

A head-mounted video camera, a processor, and a display are integrated within the head-mounted device worn by the user. The head-mounted device is configured to capture images of the environment and subject those images to specialized processing in order to diagnose and/or make up for deficiencies in the user's eyesight. Different modes of operating the device are provided that enable the user to configure the device for a specific application. The modes of operation include at least an assistive mode, a diagnostic mode, and a therapeutic mode. Each mode of operation may include further options, where each option is dedicated to a specific processing approach specific to a condition that may afflict the user, ranging from contrast sensitivity issues to strabismus.

A system for the remote management of head mounted vision assist devices used by patients, is provided. The system includes head mounted vision assist devices located at various patient locations, at least one computing device used by a clinician supervising the usage of the vision assist devices by the patients, and a server communicatively coupled with each of the vision assist devices and the computing device used by the clinician. The server executes stored instructions to enable the clinician to remotely monitor the results of one or more diagnostic tests conducted by a patient at predefined time intervals and monitor a display of a head mounted vision assist device being used by the patient by mirroring the patient's display on the clinician's computing device. The server executes stored instructions that also enable the clinician to diagnose the patient based on at least one of the test results and the mirrored display and provide one or more of: prescription and therapy to treat the patient based on the diagnosis.

The invention relates to systems and methods for providing custom-fitted and styled wearable items such as eyewear based on measurements made from a user-provided image that is resized using a predefined reference that includes an image of an actual wearable item. The eyewear may be provided to a user, who wears the eyewear and provides an image of the user wearing the eyewear. The user-provided images may be compared to a predefined reference (e.g., an image of the eyewear) having a known scale and/or dimension. For example, a user-provided image may be overlaid with the predefined reference and resized so that the wearable item worn by the user in the user-provided image matches (the size of) the wearable item in the predefined reference. Because the scale and/or dimensions of the predefined reference are known, one or more measurements associated with the user may be made based on the user-provided image.

A method of non-invasive measurement of an intraocular pressure (IOP), the method may include: obtaining an image of at least a portion of a specific element of a subject's eye; detecting at least a portion of the specific element in the obtained image; and determining a value of a geometric property of the specific element based on the obtained image, the determined value of the geometric property is indicative of an IOP value of the subject's eye. In some embodiments, the specific element comprises at least one of: at least a portion of a limbus and at least a portion of an anterior surface of a sclera of the subject's eye.

Systems and methods of detecting pupillary positions on a head of a subject are described. While a camera and a light source are positioned in front of the head of the subject, the camera is caused to capture image data representative of a frontal portion of the head of the subject. From the image data, a face of the subject is detected. Up to two eyes are identified from the detected face. A reflection of the light source on each identified eye is detected. A pupillary position of each identified eye is estimated based on a position of the detected light source reflection on the identified eye. One or more of interpupillary distance, left pupil distance, and right pupil distance may be determined from the estimated pupillary positions.

A method for determining a pupillary distance of an individual, includes the following steps: —displaying an object on a screen located in front of the individual, the displayed object being positioned at a location in front of one eye of the individual; —instructing the individual to look with at least the eye at the displayed object; —acquiring at least an image of a part of the body of the individual including the eye; —determining the location of a plurality of specific features in the acquired image, one of the specific features being a pupil of the eye of the individual; and —calculating the pupillary distance based on the location of the plurality of specific features. A corresponding system is also described.