Ramot at Tel-aviv University Ltd.

Ramot University Authority for Applied Research and Industrial Development Limited

Lenslet Ltd.

Technology Innovation Momentum Fund (israel) Limited Partnership

Adeia Semiconductor Bonding Technologies Inc.

Symbol Technologies, LLC

Lenslet Labs Ltd.

Civcom Inc.

David Mendlovic

Gal Shabtay

Naim Konforti

Emanuel Marom

Zeev Zalevsky

Iftach Klapp

Aviram Sariel

Ariel Raz

Efraim Goldenberg

Lior Gelberg

Uriel Levy

Mor-Avi Azulay

Khen Cohen

Menahem Koren

Ran Schleyen

Leonard Bergstein

Damian Goldring

Dan Raviv

Ephraim Goldenberg

Noy Cohen

Yaron Hefetz

Kai Engelhardt

Javier Garcia

Ido Raveh

Amir Shemer

Viacheslav Krylov

Boris Alexey Glushko

Dan Mark Marom

Eyal Ben-Eliezer

Christopher Aubuchon

Dan Abraham Shklarsky

Shay Levavi

Yehuda Miron

Sharon Karako

Uri Eliezer Mendlovic

Naim Conforti

Irina Kiryuscheva

Ohad Volvovitch

Ya'Ara David

Uzi Efron

Nadav Cohen

Emanuel Maron

Shlomo Eisenbach

An imaging device is presented for use in an imaging system capable of improving the image quality. The imaging device has one or more optical systems defining an effective aperture of the imaging device. The imaging device comprises a lens system having an algebraic representation matrix of a diagonalized form defining a first Condition Number, and a phase encoder utility adapted to effect a second Condition Number of an algebraic representation matrix of the imaging device, smaller than said first Condition Number of the lens system.

Imaging system and method for imaging objects with reduced image blur

A method of identifying a person, the method comprising: acquiring spatiotemporal data for each of a plurality of anatomical landmarks associated with an activity engaged in by a person that defines a spatiotemporal trajectory of the anatomical landmark during the activity; modeling the acquired spatiotemporal data as a spatiotemporal graph (ST-Graph); and processing the ST-Graph using at least one non-local graph convolution neural network (NLGCN) to provide an identity for the person.

Dynamic identity authentication

Systems, methods, and computer readable media for identifying a person in a video are disclosed. Systems, methods, devices, and non-transitory computer readable media may include at least one processor that may be configured to generate a spatiotemporal emotion data compendium (STEM-DC) from the video and to process the STEM-DC using a deep fully adaptive graph convolutional network (FAGC) to determine a first person representation vector that represents the person in the video.

System and method for identifying a person in a video

A dynamic vision sensor (DVS) color camera (DVS-CCam) operable to acquire a color image of a scene, the DVS-CCam including a DVS photosensor comprising DVS pixels, an illuminator operable to transmit a light pattern characterized by temporal changes in intensity and color to illuminate a scene, an optical system configured to collect and focus on the pixels of the DVS photosensor light reflected by features in the scene from the light pattern transmitted by the illuminator, and a processor configured to process DVS signals generated by the DVS pixels responsive to temporal changes in the reflected light to provide a color image of the scene.

Dynamic vision sensor color camera

Disclosed herein is a novel a tunable Micro-Electro-Mechanical (MEMS) Etalon system including: a functional layer patterned to define a suspension structure for suspending a first mirror being an aperture mirror of the Etalon, an aperture mirror coupled to the suspension structure, and a back layer including a second mirror, being a back mirror of the Etalon. The functional layer may be located above the back layer and the back layer may include spacer structures protruding therefrom towards the aperture mirror to define a minimal gap between the aperture mirror and the back mirror and prevent collision between them. The aspect ratio between the width of the etalon/mirrors may be high (e.g. at least 500), and the minimal gap/distance between the mirrors may be small in the order of tens of nanometers (nm). Accordingly, in some implementations the parallelism between the aperture mirror and the back mirror is adjustable to avoid chromatic artifacts associated with spatial variations in the spectral transmission profile across the etalon.

Tunable MEMS etalon

A hyperspectral imaging system and method are presented for use in reconstruction of spectral data of an object. The system comprises: a pixel matrix of a detector; a tunable dispersive unit in front of the pixel matrix; and a control system. The control system comprises: a controller for tuning the dispersive unit during n image acquisition sessions to provide n different partially overlapping spectral transmission profiles of the dispersive unit; and a control unit which is in data communication with the detector and is configured and operable for processing n image data pieces generated by the pixel matrix in said n image acquisition sessions respectively, each being indicative of a spectral image detected by the pixel matrix and corresponding to the different spectral transmission profile of the dispersive unit, and determining the reconstructed spectral data of the object.

Spectral imaging method and system

An imaging system color image acquisition including: an image sensor; a tunable spectral filter arranged in an optical path of light propagation towards the image sensor; and a controller connected to the image sensor and to the tunable spectral filter. The controller is configured and operable for generating a colored image by sequentially operating the tunable spectral filter for sequentially filtering light passing towards the image sensor with three or more different spectral filtering curves during three or more corresponding integration time durations. The tunable spectral filter is configured, as an etalon and includes a pair of reflective surfaces. At least one of the reflective surfaces includes a layer of high refractive index of at least n=2.3 or even higher than 3, or a layer of low refractive index, smaller than n=1. The configuration of the etalon provide wide transmission peaks of the spectral curves with full-width-half maximum (FWHM) in the range of about 50 to 80 nm, free spectral range (FSR) of at least 300 nm, and thickness of the etalon in the order to 1 mm or even less.

System and method for color image acquisition

An imaging system and method are presents for use in reconstructing spectral data of an object. The imaging system comprises: an optical unit; a pixel array of a detector; and a data processor for receiving and processing image data indicative of light detected by the pixel array and generating reconstructed spectral data of the object being imaged. The optical unit is configured and operable for applying a predetermined coding to an input light field while creating an optical image thereof on a detection plane defined by the pixel array. Therefore, the image data is a function of the predetermined coding and a spectrum of the object to be determined.

A light-field imaging system and a method for generating light-field image data are presented. The system comprising an imaging lens unit, a detector array and a polychromatic patterned filter located in optical path of collected light, being at an intermediate plane between the lens unit and the detector array. The method comprising: acquiring image data of a region of interest by passing input light coming from said region of interest through said imaging lens unit and said polychromatic patterned filter to be detected by said detector array to generate corresponding image data; and processing said image data to determined light components passing through different regions of said polychromatic patterned filter corresponding to different colors and different parts of the region of interest to provide light-field image data of said region of interest.

System and method for light-field imaging

Growing community of inventors

Tel Aviv, Israel

David Mendlovic