Nec Corporation of America

Beep Card Inc.

Dialware Inc

Tsvi Lev

Yaacov Hoch

Moshe Karako

Nathan Altman

Moshe Cohen

Alon Atsmon

Amit Antebi

Alan Sege

Liran Orevi

Hagai Har-gil

Aaron Mark Lieber

Rami Anati

Mark Vexler

Gavriel Speyer

Yael Schwartzbard

Doron Gonen

Maya Cohen Maimon

Ori Yampolsky

Daniel Bolgar

Yoav Badikhi

Gavriel Spcyer

A method of self-localizing with respect to surrounding objects, comprising obtaining an approximated geolocation of the vehicle, retrieving mapping data comprising a geolocation of one or more stationary objects located in an area surrounding the approximated geolocation, receiving imagery data of a surrounding environment of the vehicle captured by a plurality of distinct imaging sensors deployed in the vehicle, applying one or more trained machine learning models to identify one or more of the stationary objects in the imagery data, computing a relative positioning of the vehicle with respect to one or more of the stationary objects based on an orientation of each of the plurality of imaging sensors with respect to the stationary object(s), computing an absolute positioning of the vehicle based on the relative positioning and the geolocation of the stationary object(s), and outputting the vehicle's absolute positioning.

Object based vehicle localization

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.

Autonomous vehicle control

A system and a method for classifying images pertaining to computer resource usage of a user, using an ensemble of close ended questions and a neural network based language model. The method may be used to as aid to monitor and/or enforce computer usage policies in industrial organizations, government services, academy, education, and/or the like.

Computer resource monitoring by processing images using a model comprising large language models

There is provided a system for guiding a steerable laser to a target object, comprising: at least one processor executing a code for: for each image of a plurality of images captured by an image sensor and obtained in a plurality of iterations: filtering an illumination of a steerable laser overlapping a target object or in near proximity to a target object from the image, to create a filtered image, detecting the target object on the filtered image by a detector model, and generating instructions for at least one of: further directing of the steerable laser for illumination of the target object, and maintaining the illumination of the steerable on the target object.

Filtering a streerable laser beam during real- time object detection and targeting in physical space

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.

System and method for processing digital images

A system includes a display and a camera module configured to capture forward real video and to output the forward real video on the display. A light source may be configured to generate light, and a navigation module may receive instructions regarding locating a target destination and may cause the light to be focused into a beam directed at the target destination as the user views both the forward real video and beam on the display. When the user reaches the desired location or orientation, the target destination is visibly illuminated by the beam of light.

Interactive direction pointing using emitted directional light from a handheld device

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.

Removal of artifacts from images captured by sensors

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.

Image analysis for controlling movement of an object

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.

Retroreflector

A system and associated method include a housing that includes a sensor, a transmitter, and a power source. A solar panel is configured to receive light energy from an artificial light source to generate an electrical charge. An electrical connection may convey the electrical charge to the power source to energize the sensor, and a fastener fixates the solar panel within 10 cm of the artificial light source. The solar panel may be further positioned with respect to the housing and the artificial light source. For instance, the solar panel may be positioned so as to minimally obstruct visible light from the artificial light source within an area to be illuminated. The housing may comprise part of an Internet of Things (IoT) device.

Solar panel based indoor low power sensors

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.

Verifying a path of a mobile wireless device based on wireless mapping

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.

Invisible coated infrared patterns

There is provided a system of cryptography for securing data on a blockchain, comprising: at least one hardware processor executing a code for: obtaining at least one encrypted data item, encrypted with a public key compliant with a homomorphic encryption mechanism, feeding the at least one encrypted data item into a computational process that computationally processes the at least one encrypted data item with computations compliant with the homomorphic encryption mechanism, and providing at least one encrypted outcome of the computational process to a smart contract for posting on a blockchain, wherein the at least one encrypted outcome is compliant with the homomorphic encryption mechanism and decrypted with a private key corresponding to the public key.

Homomorphic encryption using smart contracts

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.

Imperceptible road markings to support automated vehicular systems

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.

Growing community of inventors

Tel Aviv, Israel

Tsvi Lev