Abstract: A kit includes at least one facemask configured to cover a respective user's mouth and nose. The facemask contains at least one layer impregnated with a first chemical. When the facemask covers the respective user's mouth and nose, airborne particles of the first chemical are released from the at least one layer through the user's breathing. A sensor is configured to measure airborne concentration of the first chemical. A processing circuitry is configured to receive outputs of the sensor, to calculate a change in airborne concentration of the first chemical, and to issue a notification when the airborne concentration of the first chemical increases at above a predetermined rate.

Abstract: According to an aspect of some embodiments of the present invention there is provided a system for imaging of objects in a scene. The system contains a hardware processor, or multiple hardware processors, which execute(s) code for: receiving, from a first sensor, image or images depicting an object or objects, where the object(s) include(s) an autonomous navigation system that controls a course of the object(s) in space, predicting a spatiotemporal profile of the object(s) within the image(s), and generating instructions for execution by a second sensor for capturing an image of the object(s) at a time and location corresponding to the spatiotemporal profile.

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: Provided herein are system, devices and methods for applying Multi-Party Computation (MPC) to authenticate a user accessing a secure resource using a plurality of computing nodes. The computing nodes, each receiving a respective one of a plurality of encrypted shares created using a plurality of keys to encrypt private data captured by a client device used by the user accessing the secure resource, engage in a secure MPC to compare between the encrypted shares and reference encrypted private data copies also encrypted using the plurality of keys without decrypting the private data since the keys are not available to the computing nodes. The computing nodes compute a match score based on the comparison and transmit it to a controller of the secure resource configured to grant or deny the client device access to the secure resource based on the match score.

Abstract: Disclosed herein are methods and systems for efficiently retrieving data from an at least partially encrypted table based record using secure Multi-Party Computation (MPC). A query received to retrieve data from a table based record comprising data items arranged in rows and columns may include a queried data item (key) which potentially matches one or more encrypted data items contained in one or more of the columns. The computing nodes, each having a respective one of a plurality of shares of a one-hot representation of each of the encrypted data items engage in the MPC session to match between a one-hot representation of the queried data item and the one-hot representation of each encrypted data item and output each matching row. The match is based on multiplying, in each encrypted data item's one-hot representation, only bits identified as hot in the queried data item's one-hot representation.

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 computer implemented method of detecting unauthorized mobile wireless transmitters, comprising using one or more processors adapted for obtaining, from one or more radio frequency (RF) sensors deployed in a monitored location, RF sensory data relating to a plurality of transmissions transmitted by one or more of a plurality of mobile wireless transmitters, detecting a change in a location of one or more of the mobile wireless transmitters by analyzing the RF sensory data, classifying one or more of the mobile wireless transmitters as unauthorized in case the detected location change deviates from one or more mobility rules and outputting an indication of the classification.

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: A monitoring system, comprising: at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor connected to the at least one processing circuitry, at least one digital image captured by the at least one image sensor; identifying a nature of at least one relationship between at least one first body part of at least one first person and at least one second body part of at least one second person, where the at least one first person and the at least one second person are identified in the at least one digital image; identifying at least one offending relationship according to the nature of the at least one relationship and a set of relationship rules; and outputting an indication of the at least one offending relationship.

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: A kit includes at least one facemask configured to cover a respective user's mouth and nose. The facemask contains at least one layer impregnated with a first chemical. When the facemask covers the respective user's mouth and nose, airborne particles of the first chemical are released from the at least one layer through the user's breathing. A sensor is configured to measure airborne concentration of the first chemical. A processing circuitry is configured to receive outputs of the sensor, to calculate a change in airborne concentration of the first chemical, and to issue a notification when the airborne concentration of the first chemical increases at above a predetermined rate.

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: 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: Provided herein are system, devices and methods for applying Multi-Party Computation (MPC) to authenticate a user accessing a secure resource using a plurality of computing nodes. The computing nodes, each receiving a respective one of a plurality of encrypted shares created using a plurality of keys to encrypt private data captured by a client device used by the user accessing the secure resource, engage in a secure MPC to compare between the encrypted shares and reference encrypted private data copies also encrypted using the plurality of keys without decrypting the private data since the keys are not available to the computing nodes. The computing nodes compute a match score based on the comparison and transmit it to a controller of the secure resource configured to grant or deny the client device access to the secure resource based on the match score.

Abstract: A method for producing a set of indicators of unwanted activity in a computer system, comprising: receiving a plurality of input data sets, each describing system activity and comprising an infection label and system activity information collected from a computer system; producing a plurality of training sets each comprising: 1) a plurality of activity values, each indicative of execution of an instruction, extracted from one of the plurality of input data sets, and 2) a respective infection label; producing for each training set one of a plurality of sets of relevant activity values by: training a model to output, in response to the respective training set, an infection classification equal to respective infection label; and analyzing the model to identify a set of relevant activity values, of the plurality of activity values, effecting the infection classification; and analyzing the plurality of sets of relevant activity values to produce the indicators.

Abstract: There is provided a computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising: providing anatomical imaging data of the target individual acquired by an anatomical imaging device, analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof, computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object, and generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object.

Abstract: A system for processing digital images comprising: at least one remote hardware processor; and at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor, electrically coupled to the processing circuitry, at least one digital image captured by the at least one image sensor; partitioning at least one object, identified in the at least one digital image, into a plurality of object segments; replacing in the at least one digital image each of the plurality of object segments with a schematic segment, illustrating respective object segment, to produce at least one schematic image; and sending the at least one schematic image to the remote hardware processor; wherein the remote hardware processor is adapted to: receiving the at least one schematic image from the at least one device; analyzing the at least one schematic image to identify at least one behavioral pattern.

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: A computer implemented method of planning a drone flight path to increase safety of dynamic objects the drone is estimated to encounter along the flight path based on a mobility model constructed to predict movement of dynamic objects, comprising receiving sensory data captured over time by one or more sensors monitoring movement of a plurality of dynamic objects in a certain geographical area, analyzing the sensory data to identify one or more mobility patterns of one or more dynamic objects detected in the certain geographical area, updating a mobility model with the mobility pattern(s) and generating a planned flight path based on the mobility model for one or more drones planned to fly in the certain geographical area, the flight path is planned to maintain a predefined safety space between the drone(s) and the dynamic object(s).

Abstract: There is provided a computed implemented method of automatically generating an adapted presentation of at least one candidate anomalous object detected from anatomical imaging data of a target individual, comprising: providing anatomical imaging data of the target individual acquired by an anatomical imaging device, analyzing the anatomical imaging data by a detection classifier for detecting at least one candidate anomalous object of the anatomical imaging data and computed associated location thereof, computing, by a presentation parameter classifier, at least one presentation parameter for adapting a presentation of a sub-set of the anatomical imaging data including the at least one candidate anomalous object according to at least the location of the candidate anomalous object, and generating according to the at least one presentation parameter, an adapted presentation of the sub-set of the anatomical imaging data including the at least one candidate anomalous object.