Corephotonics Ltd.

Uveye Ltd.

Paz Ilan

Ruthy Katz

Gal Shabtay

Ephraim Goldenberg

Oded Gigushinski

Nadav Geva

Itamar Azoulai

Gil Bachar

Roy Fridman

Itamar Zinger

Ron Shmuel Sudar

Gideon Carmon

Dan Segal

Noy Cohen

Adi Teitel

Guy Engel

Daniel Arzouan

Tomer Efi Daloomi

Noa Yedidia

Gal Safra

Amir Hever

Anat Werbner

Ela Yehudayi

Hagai Tzafrir

Shai Vaisman

A method and system for estimating dimensions of vehicle exterior defects using multiple cameras arranged in a predefined configuration. The method comprises receiving images from multiple strategically positioned image sensors including side cameras parallel to a vehicle height axis, diagonal cameras at an inclined angle, and roof top cameras perpendicular to the height axis. An angle to detected defects is computed based on image sensor parameters. Different distance calculations are applied based on vehicle section location, with specialized formulas for windshield, back window, and roof components. Defect sizes are computed by determining multiple defect dimensions, with at least one dimension being adjusted by an angular correction factor derived from the relationship between camera angle and vehicle surface orientation. The system implements comprehensive validation through cross-referencing between cameras, comparison with known specifications, and measurement consistency analysis across multiple frames.

Multi-angle vehicle defect measurement using surface-adaptive optical corrections

There is provided a method of image processing for detection of damage on a vehicle, comprising: accessing time-spaced image sequences depicting a region of a vehicle, captured by image sensors positioned at different heights and/or angles relative to the vehicle, identifying candidate regions of damage in the time-spaced image sequences, performing multi-level redundancy validation by: executing spatial correlation between images captured by different images sensors at different heights and/or different angles, executing temporal correlation between consecutive images captured by each image sensor, and validating persistence of each candidate region of damage across a threshold number of consecutive frames, identifying redundancy in the candidate regions of damage corresponding to a common physical location of the vehicle denoting a single physical damage region based on the multi-level redundancy validation, and providing an indication of the common physical location of the vehicle corresponding to the single physical damage region.

Systems and methods for automated inspection of vehicles for body damage

A method of estimating dimensions of vehicle's exterior defects based on reference dimensions comprising analyzing one or more images captured by one or more image sensors deployed to depict a vehicle to identify one or more reference feature relating to the vehicle, obtaining real-world size of the reference feature(s), computing a pixel to real-world size ratio for the image sensor(s) based on the real-world size of the reference feature(s) and a size in pixels of the reference feature(s) in the image(s), analyzing one or more images captured by the image sensor(s) to identify one or more defects in an exterior of the vehicle, computing a size in pixels of one or more dimensions of each defect; and computing a real-world size of the dimension(s) based on the size in pixels of the respective dimension and the pixel to real-world size ratio.

Detection and estimation of defects in vehicle's exterior

Cameras with panoramic scanning range comprising a folded digital camera in which an optical path folding element (OPFE) that folds a first optical path from an object or scene into a second optical path substantially parallel with an optical axis of a lens of the folded camera, the OPFE being rotatable around the lens optical axis, and systems incorporating such cameras.

Camera with panoramic scanning range

There is provided a computer implemented method of image processing for detection of damage on a vehicle, comprising: accessing a plurality of time-spaced image sequences depicting a region of a vehicle, captured by a plurality of image sensors positioned at a plurality of different views, identifying a plurality of candidate regions of damage in the plurality of time-spaced image sequences, performing a spatiotemporal correlation between the plurality of time-spaced image sequences, identifying redundancy in the plurality of candidate regions of damage corresponding to a common physical location of the vehicle denoting a single physical damage region, and providing an indication of the common physical location of the vehicle corresponding to the single physical damage region.

Systems and methods for correcting point of view (POV) aberrations in scanning folded cameras and multi-cameras including such scanning folded cameras. In a Tele folded camera that includes an optical path folding element (OPFE) and an image sensor, the OPFE is tilted in one or two directions to direct the Tele folded camera towards a POV of a scene, a Tele image or a stream of Tele images is captured from the POV, the Tele image having POV aberrations and the POV aberrations are digitally corrected to obtain an aberration-corrected image or stream of images.

Point of view aberrations correction in a scanning folded camera

Systems and methods for obtaining a seamless, high resolution, large field of view image comprise capturing a plurality of Tele images in a scene using a scanning Tele camera, each captured Tele image having an associated Tele field of view FOV, retrieving a R image having a respective R image scene with a field of view greater than FOV, analyzing the R image for defining an order of scanning positions according to which the folded Tele camera scans a scene to capture the plurality of Tele images, aligning the plurality of Tele images and the R image to obtain aligned Tele images, and composing the aligned Tele images into an output image. The output image may include at least parts of the R image and may be one of a stream of output images.

Image stitching in the presence of a full field of view reference image

Imaging system with panoramic scanning range

Methods for stereo calibration of a dual-camera that includes a first camera and a second camera and system for performing such methods. In some embodiments, a method comprises obtaining optimized extrinsic and intrinsic parameters using initial intrinsic parameters and, optionally, initial extrinsic parameters of the cameras, estimating an infinity offset e using the optimized extrinsic and extrinsic parameters, and estimating a scaling factor s using the optimized extrinsic and extrinsic parameters and infinity offset parameter e, wherein the optimized extrinsic and extrinsic parameters, infinity offset e and scaling factor s are used together to provide stereo calibration that leads to improved depth estimation.

System and method for dynamic stereoscopic calibration

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Tel Aviv, Israel

Paz Ilan