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: A method of autonomous vehicle control, comprising: receiving an image of a lenticular human-imperceptible marker embedded in an element of an environment that an autonomous vehicle is moving in, the marker having a pattern usable for determining positional data of the moving vehicle, the image captured using human-invisible light, analyzing the received image of the human-imperceptible marker, and controlling the autonomous vehicle based on the analyzed image of the human-imperceptible marker.

Abstract: Methods and systems fort operating one or more light sources to project adversarial patterns generated to disorient a machine learning based detection system, comprising generating one or more adversarial patterns configured to disorient the machine learning based detection system and operating one or more light sources configured to project one or more of the adversarial pattern(s) in association with the targeted object in order to disorient the machine learning based detection system.

Abstract: Disclosed herein are methods and system for determining whether a user is wearing a mask, comprising receiving one or more infrared images depicting the user's face in one or more infrared spectral ranges and one or more visible light images depicting the user's face in visible light spectral range, registering the infrared image(s) to the visible light image(s), computing luminance values of a plurality of pixels relating to the user's face in the visible light image(s), computing infrared reflectiveness values of corresponding pixels in the registered infrared light image(s), computing, for each of the pixels, a difference between the luminance value and the infrared reflectiveness value and determining the user is genuine and not wearing a mask in case an aggregated difference aggregating the difference values of the pixels relating to the user's face exceeds a certain value.

Abstract: Disclosed herein are methods and system for determining whether a user is wearing a mask, comprising receiving one or more infrared images depicting the user's face in one or more infrared spectral ranges and one or more visible light images depicting the user's face in visible light spectral range, registering the infrared image(s) to the visible light image(s), computing luminance values of a plurality of pixels relating to the user's face in the visible light image(s), computing infrared reflectiveness values of corresponding pixels in the registered infrared light image(s), computing, for each of the pixels, a difference between the luminance value and the infrared reflectiveness value and determining the user is genuine and not wearing a mask in case an aggregated difference aggregating the difference values of the pixels relating to the user's face exceeds a certain value.

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 detecting dynamic objects using road painted patterns perceptible in infrared spectral range, comprising receiving images captured in one or more infrared spectral ranges depicting a road segment painted with background patterns which are highly imperceptible in visible light spectrum while highly visible in one or more infrared spectral ranges, analyzing the images to detecting one or more dynamic objects located in front of the background patterns. The light reflected by the one or more dynamic objects in the one or more infrared spectral ranges deviating from the light reflected by the one or more background pattern and computing a location of the one or more identified objects. Further disclosed are methods and systems for calibration of systems and/or sensors based on reference markings which are highly imperceptible in visible light spectrum while highly visible in the infrared spectral range(s).

Abstract: Disclosed herein are methods and systems for painting driving assistance markings using one or more paint materials which are visible in a plurality of light spectral ranges, in particular, visible light and one or more infrared light spectral ranges. Further disclosed are methods and systems for analyzing images captured in multiple spectral ranges to identify the driving assistance markings and/or part thereof in a plurality of different spectral ranges and identify aggregated driving assistance markings by aggregating the driving assistance markings identified in the plurality of different spectral ranges. Also disclosed herein are methods and systems for presenting and detecting enhanced driving assistance markings on one or more elements under one or more paint materials which are highly transparent in one or more infrared spectral ranges while reflecting visible light conforming to a color of the element(s) surface thus not affecting appearance of the element(s) in the visible light spectrum.

Abstract: Disclosed herein are methods and systems for painting driving markings invisible in visible light spectrum, comprising generating driving assistance markings expressing driving information relating to one or more road segments, computing instructions for painting the driving assistance markings on one or more elements of the road segment(s) using one or more paint material(s) characterized by: (1) reflecting light in a visible light spectral range deviating less than a first value from the visible light spectral range reflected by a surface of the element(s) and (2) reflecting light in an infrared spectral range deviating more than a second value from the infrared spectral range reflected by the surface of the element(s), and outputting the painting instructions for applying the one or more paint materials on the element(s) according to the instructions such that the driving assistance markings are visible in the infrared spectrum and significantly invisible in the visible spectrum.

Abstract: Disclosed herein are methods and systems for enhancing road markings using Infrared (IR) retroreflective spherical elements, comprising immersing a plurality of IR retroreflective spherical elements in one or more paint materials to produce a composition applied to paint road markings on one or more surfaces of one or more road segments. Each of the plurality of IR retroreflective spherical elements is at least partially transparent in visible light spectral range and in one or more infrared spectral ranges and is at least partially coated with one or more IR reflective materials characterized by (1) reflecting more than a first value of light in the one or more infrared spectral ranges, and (2) transferring more than a second value of light in the visible light spectral range. The painted road markings expressing driving information relating to the one or more road segments.

Abstract: Disclosed herein are methods and system for detecting road marking expressed using alternating infrared reflective tiles comprising high infrared reflective tiles and low infrared red reflective tiles painted on a road surface using paint material(s) characterized by: (1) reflecting light in visible light spectral range deviating less than a first value from the light reflected by the road surface and (2) reflecting light in an infrared spectral range deviating more than a second value from the light reflected by the road surface. Infrared image(s) and visible light image(s) of the road surface which are registered to each other may be analyzed to compute an infrared reflective value and a luminance value for each pixel respectively. A ratio may be computed between the infrared reflective value of and the luminance value of corresponding pixels to identify high and low infrared reflective tiles in pixels having a ratio exceeding a third value.

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: An article having an invisible infrared pattern is disclosed. The article includes at least one infrared pattern printed onto a surface. The infrared pattern includes regions of high absorption and high reflection for a plurality of wavelengths of infrared radiation ranging between 700 and 2000 nm. A coating is overlaid over the infrared pattern. The coating is made of a material and has a thickness that is penetrable by infrared radiation and that has an average opacity of at least 20 for light in the visible range.

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: A method for detecting non-rain and/or non-snow particles movement towards an optical interface is disclosed. The method comprises: receiving one or more images from one or more imaging sensors of the vicinity of the optical interface, of particles movement towards the optical interface; analyzing the one or more images to detect non-rain and/or non-snow particles movement towards the optical interface and distinguish between rain and/or snow particles and the non-rain and/or non-snow particles movement towards the optical interface; and controlling one or more wiping elements activation based on the analyzed one or more images and removing the non-rain and/or non-snow particles from the optical interface.

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.