Biocatch Ltd.

Iriss Medical Technologies Limited

Aivf Ltd.

Ron Uriel Maor

Avi Turgeman

Itai Novick

Oren Kedem

Leonid Karabchevsky

Alexander Basil Zaloum

Nigel Andrew Simon Barnard

Yuval Yashiv

Shira Mintz

Daniella Marder Gilboa

Ron Weiner

Daniel S Seidman

Devices, systems, and methods of detecting a vishing attack, in which an attacker provides to a victim step-by-step over-the-phone instructions that command the victim to log-in to his bank account and to perform a dictated banking transaction. The system monitors transactions, online operations, user interactions, gestures performed via input units, speed and timing of data entry, and user engagement with User Interface elements. The system detects that the operations performed by the victim, follow a pre-defined playbook of a vishing attack. The system detects that the victim operates under duress or under dictated instructions, as exhibited in irregular doodling activity, data entry rhythm, typographical error introduction rhythm, unique posture of the user, alternating pattern of listening to phone instructions and performing online operations via a computer, and device orientation changes or spatial changes that characterize a device being used to perform an online transaction while also talking on the phone.

Device, system, and method of detecting vishing attacks

A method, and corresponding apparatus, for identifying a feature in an image comprises determining a plurality of characteristic values for each pixel or group of pixels within the image, and determining a confidence value for a target area of the image on the basis of the plurality of characteristic values of the pixels within the target area. Each of the plurality of characteristic values relates to a different characteristic of the feature. The confidence value is indicative of whether the feature is represented by the target area of the image.

Image feature detection

An electronic device comprising a processor utility configured and operable for processing image data, determining whether an abnormality exists in an image of a subject's eye, and generating corresponding output data, said processor utility comprising: a first processor configured and operable for selecting in the image data an image comprising a region of interest including predetermined eye features of at least one of two eyes of the subject, the first processor further configured and operable for pre-processing the image to determine whether it is suitable for image processing and for providing an indication of the determined suitability of the image; an eye feature detection utility configured and operable for applying an image processing algorithm to a suitable image for determining one or more parameters of the eye features from a set of predetermined parameters; and an eye condition identifier utility configured and operable for processing and analyzing said one or more parameters and generating data indicative of whether an abnormality exists in the image.

System and method for identifying eye conditions

A method for detecting strabismus in at least one image comprising a subject's eyes, wherein the at least one image has been obtained using an apparatus comprising a light source and a target offset from the light source, the method comprising, for each of the subject's left and right eyes: determining, from the image, a reflection offset distance, being the distance between a reference point of the eye and a reflection of a light source on the eye; determining a difference between the reflection offset distance and a reference reflection offset distance for the corresponding left or right eye, wherein the reference reflection offset distance has been determined based on relative positions of the light source, the target and the subject's head; and determining whether the difference is less than a difference threshold value for determining whether the subject has a strabismus.

Strabismus detection

Growing community of inventors

London, United Kingdom

Ron Uriel Maor