Abstract: There is provided a system for measuring a physiological parameter of a person indicative of physiological pathology, comprising: a plurality of remote non-contact sensors, each of a different type of sensing modality, at least one hardware processor executing a code for: simultaneously receiving over a time interval, from each of the plurality of remote non-contact sensors monitoring a person, a respective dataset, extracting, from each respective dataset, a respective sub-physiological parameter of a plurality of sub-physiological parameters, analyzing a combination of the plurality of sub-physiological parameters, and computing a physiological parameter indicative of physiological pathology according to the analysis, wherein an accuracy of the physiological parameter computed from the combination is higher than an accuracy of the physiological parameter independently computed using any one of the plurality of sub-physiological parameters.

Abstract: Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.

Abstract: There is provided a system for imaging of a scene, comprising: at least one short wave infrared (SWIR) illumination element that generates SWIR illumination at a SWIR wavelength range, at least one filter that filters out electromagnetic radiation at wavelengths which are mostly non-absorbed by water vapor in air depicted in the scene, and at least one SWIR sensor that captures the SWIR illumination of the SWIR wavelength range which is passed by the at least one filter and generates at least one SWIR image of the scene.

Abstract: There is provided a retroreflector device, comprising: an incident object made of a material transparent to electromagnetic radiation, the incident object designed to refract an incident ray hitting an incident surface to generate a refracted ray that hits a back surface, and a retroreflective surface positioned in proximity to the back surface of the incident object, wherein the retroreflective surface and the incident object are configured to refract the incident ray to generate the refracted ray for hitting the retroreflective surface at an angle of incidence below a threshold.

Abstract: There is provided a system for analyzing images for facial expression recognition, comprising: at least one short wave infrared (SWIR) illumination element that generates SWIR illumination for illumination of a face of a person, at least one SWIR sensor that captures at least one SWIR image of the face under the SWIR illumination, and a non-transitory medium storing program instructions, which, when executed by a processor, cause the processor to analyze the at least one SWIR image for recognizing a facial expression depicted by the face.

Abstract: There is provided a computer implemented method of controlling movement of an object, comprising: accessing a current image of a surface relative to an object at a current location, wherein an imaging sensor is set to capture the current image depicting an overlap with a previously captured image of the surface when the object was at a previous location, registering the current image to the overlap of the previously captured image, computing the current location of the object relative to a reference location according to an analysis of the registration, and feeding the current location into a controller for controlling movement of the object.

Abstract: There is provided a computer implemented method of computing a location of an object, comprising: accessing a wide field of view (wFOV) image captured by a wFOV image sensor located relative to an object, analyzing the wFOV image to identify a predefined feature, wherein the predefined feature indicates a low accuracy location of the object, capturing a high resolution image by a high resolution image sensor located relative to the object, the high resolution image depicting the predefined feature, and computing a high accuracy of location of the object according to an analysis of the predefined feature and according to a correlation between a location and orientation of the wFOV image sensor and the high resolution image sensor.

Abstract: Disclosed herein are methods and systems for determining whether a user engaged in an interactive video session is a genuine user or a potential impersonator by analyzing a plurality of consecutive images depicting the user while engaged in the video session to identify one or more dynamic facial patterns in the face of the user while his lips are moving. Each such dynamic facial pattern may express a movement of one or more of a plurality of wrinkles and/or other dynamic facial features (e.g., nostrils, distance between nostrils, ear, skin portion, muscle, etc.) in the face of the user. The user may be then determined to be genuine or not based on a comparison between the identified dynamic facial pattern(s) and one or more reference dynamic facial patterns.

Abstract: A system for detecting malicious software, comprising at least one hardware processor adapted to: execute a tested software object in a plurality of computing environments each configured according to a different hardware and software configuration; monitor a plurality of computer actions performed in each of the plurality of computing environments when executing the tested software object; identify at least one difference between the plurality of computer actions performed in a first of the plurality of computing environments and the plurality of computer actions performed in a second of the plurality of computing environments; and instruct a presentation of an indication of the identified at least one difference on a hardware presentation unit.

Abstract: There is provided a vehicle sensor system, comprising: a plurality of sensors with mostly overlapping field of views that simultaneously acquire temporary images, a processing circuitry that: analyzes the temporary images to identify at least one blocked image area in at least one temporary image of the plurality of temporary images which is less or not blocked in at least one spatially corresponding image area of at least one other temporary image of the plurality of temporary images, selects visual data from the at least one spatially corresponding image areas over corresponding visual data from the at least one blocked images area, merges the plurality of temporary images into a final image using the selected visual data and excludes the at least one blocked image area, and an output interface that forwards the final image to a vehicle controller.

Abstract: Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.

Abstract: There is provided a method of re-classifying a clinically significant feature of a medical image as an artifact, comprising: feeding a target medical image captured by a specific medical imaging sensor at a specific setup into a machine learning model, obtaining a target feature map as an outcome of the machine learning model, wherein the target feature map includes target features classified as clinically significant, analyzing the target feature map with respect to sample feature map(s) obtained as an outcome of the machine learning model fed a sample medical image captured by at least one of: the same specific medical imaging sensor and the same specific setup, wherein the sample feature map(s) includes sample features classified as clinically significant, identifying target feature(s) depicted in the target feature map having attributes matching sample feature(s) depicted in the sample feature map(s), and re-classifying the identified target feature(s) as an artifact.

Abstract: There is provided a computer implemented method of measuring a temperature of a subject, comprising: receiving a sequence of a plurality of thermal images of a subject captured by a thermal sensor, analyzing the sequence of the plurality of thermal images to identify at least one target thermal image depicting an upper region of a tongue of the subject, analyzing the at least one target thermal image to identify an estimated temperature of the upper region of the tongue, and providing the estimated temperature of the upper region of the tongue.

Abstract: An automated health check device and methods, the device comprising: at least one imaging sensor configured for capturing at least one image of at least an area confined by a window of the vehicle; at least one vital signs sensor configured for measuring a health parameter of a passenger at the area confined by the window; and at least one processor configured for: acquiring and analyzing the at least one image to determine location of the window; determining based on the determined location of the window a location of the passenger; determining the at least one vital signs sensor being oriented to a predetermined point of view in relation to the location of the passenger determined; and obtaining a measurement of the health parameter of the passenger from the at least one vital signs sensor.

Abstract: Provided herein are methods and systems for generating a model, mapping a monitored space, and used for augmenting the location and paths of devices path in the monitored space, using orientation and obstruction analysis. The disclosure comprises moving a device having a camera and one or more wireless transceiver through the monitored space, exchanging signal transmissions with one or more wireless transceivers present in the monitored space, and taking images, video sequences, or other optical readings. Either the mobile wireless device, the wireless transceivers, or both may have a non-isotropic transmission and reception characteristics, due to antenna structure, occlusions, other objects with radiation impact and/or the like. The images, videos, and/or optical readings, in addition to the received signal characteristics are stored and processed to generate the model, which one or more verification units, configured to verify the location objects or devices in the monitored space, may use.

Abstract: Provided herein are methods and systems for verifying a path in a monitored space, comprising transmitting a device identification (ID) of the mobile wireless device while the mobile wireless device moves through a monitored space, receiving one or more location certificates transmitted, in response to reception of the device ID, by one or more wireless transceivers deployed at a predefined location in the monitored space and having a limited transmission range, each location certificate comprising at least the device ID and a transceiver ID of the respective wireless transceiver, storing the one or more location certificates, and transmitting the one or more location certificates to one or more verification units configured to verify a path of the mobile wireless device in the monitored space estimated according to the predefined location of the one or more wireless transceivers identified by the transceiver ID extracted from the one or more location certificates.

Abstract: Disclosed herein are methods and systems for encoding data in composite patterns such that the encoded data is perceptible in one or more infrared spectral ranges while significantly imperceptible in visible light spectral range by encoding the data in one or more first partial patterns and/or in one or more second partial patterns of the composite pattern where the first partial pattern(s) is painted using a first print material and the second partial pattern(s) is painted using a second. The first and second paint materials are characterized by reflecting substantially similar light in the visible light spectral range and significantly different light in the infrared spectral range(s) such that the first and second patterns are indistinguishable in the visible light spectral range while highly distinguishable in the infrared spectral range(s). further disclosed are methods and systems for decoding the composite patterns to decode and extract the encoded data.

Abstract: Disclosed herein are methods and systems for encoding data in composite patterns such that the encoded data is perceptible in one or more infrared spectral ranges while significantly imperceptible in visible light spectral range by encoding the data in one or more first partial patterns and/or in one or more second partial patterns of the composite pattern where the first partial pattern(s) is painted using a first print material and the second partial pattern(s) is painted using a second. The first and second paint materials are characterized by reflecting substantially similar light in the visible light spectral range and significantly different light in the infrared spectral range(s) such that the first and second patterns are indistinguishable in the visible light spectral range while highly distinguishable in the infrared spectral range(s). further disclosed are methods and systems for decoding the composite patterns to decode and extract the encoded data.

Abstract: Disclosed herein are methods and systems for encoding data in composite patterns such that the encoded data is perceptible in one or more infrared spectral ranges while significantly imperceptible in visible light spectral range by encoding the data in one or more first partial patterns and/or in one or more second partial patterns of the composite pattern where the first partial pattern(s) is painted using a first print material and the second partial pattern(s) is painted using a second. The first and second paint materials are characterized by reflecting substantially similar light in the visible light spectral range and significantly different light in the infrared spectral range(s) such that the first and second patterns are indistinguishable in the visible light spectral range while highly distinguishable in the infrared spectral range(s). further disclosed are methods and systems for decoding the composite patterns to decode and extract the encoded data.

Abstract: Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.