公开(公告)号：US20240404041A1

公开(公告)日：2024-12-05

申请号：US18679568

申请日：2024-05-31

Applicant: UVeye Ltd.

Inventor： Amir HEVER ,  Ilya BOGOMOLNY

IPC: G06T7/00 ,  G01C21/36 ,  G06T7/12 ,  G06T7/70 ,  G06V10/77

Abstract: Systems and methods for onboard auto-inspection of vehicles using reflective surfaces. The system comprises at least one imaging device mounted on the vehicle, capturing reflections of the vehicle's exterior from strategically positioned reflective surfaces. The captured imaging data is processed by one or more processing circuitries to detect and analyse defects or anomalies on the vehicle's exterior surface. The invention also describes a support system consisting of a scaffold with mounted reflective surfaces, easily integrable into existing infrastructure. The system employs advanced image analysis techniques to accurately detect and localize defects, generating a detailed defect map. The invention further encompasses a complete kit, including the onboard auto-inspection system and the support system, providing a comprehensive solution for vehicle inspection and maintenance. By enabling efficient, accurate, and frequent inspections, the present invention promotes safer, better-maintained vehicles and advances the field of automotive inspection technology.

公开(公告)号：US20230342937A1

公开(公告)日：2023-10-26

申请号：US18027809

申请日：2021-09-19

Applicant: UVeye Ltd.

Inventor： Amir HEVER ,  Ilya BOGOMOLNY

IPC: G06T7/10 ,  G06V20/60

CPC classification number: G06T7/10 ,  G06V20/60 ,  G06V2201/08 ,  G06T2207/30204

Abstract: A method for determining a fingerprint of a vehicle, including receiving a vehicle identifier and, from at least one sensor, at least one vehicle appearance each including image data informative of vehicle scan. The said appearance is associated with a unique appearance time tag. Then, segmenting the image data into segments each being informative of components of the vehicle. Then, determining marker instances from the image scan, wherein each marker instance is associated with a marker class and marker features. Then, storing data indicative of the vehicle's fingerprint including the vehicle identifier and its corresponding (i) vehicle appearance and associated appearance time tag, (ii) the so determined marker instances, thereby facilitating verification of the fingerprint of the vehicle in future vehicle scan(s).

公开(公告)号：US20210090242A1

公开(公告)日：2021-03-25

申请号：US17041586

申请日：2019-03-26

Applicant: UVEYE LTD.

Inventor： Amir HEVER ,  Dvir PARAVI ,  Ilya GRINSHPOUN ,  Ohad HEVER

IPC: G06T7/00 ,  G06T7/215 ,  G06T7/37 ,  G06T7/33 ,  G06T7/593 ,  G06K9/62 ,  H04N13/111 ,  H04N13/243

Abstract: There are provided a method of vehicle inspection and a system thereof, the method comprising: obtaining a plurality of sets of images capturing a plurality of segments of surface of a vehicle at a plurality of time points; generating, for each time point, a 3D patch using a set of images capturing a corresponding segment at the time point, giving rise to a plurality of 3D patches; estimating 3D transformation of the plurality of 3D patches based on a relative movement between the imaging devices and the vehicle; and registering the plurality of 3D patches using the estimated 3D transformation thereby giving rise to a composite 3D point cloud of the vehicle. The composite 3D point cloud is usable for reconstructing a 3D mesh and/or 3D model of the vehicle where light reflection, comprised in at least some of the plurality of sets of images, is eliminated therefrom.

公开(公告)号：US20210358115A1

公开(公告)日：2021-11-18

申请号：US17293677

申请日：2019-11-11

Applicant: UVEYE LTD.

Inventor： Amir HEVER ,  Ohad HEVER ,  Ilya BOGOMOLNY

IPC: G06T7/00 ,  G06N3/04 ,  G06N3/08

Abstract: There are provided a system and method of training a neural network system for anomaly detection, comprising: obtaining a training dataset including a set of original images and a set of random data vectors; constructing a neural network system comprising a generator, and a first discriminator and a second discriminator operatively connected to the generator; training the generator, the first discriminator and the second discriminator together based on the training dataset, such that: i) the generator is trained, at least based on evaluation of the first discriminator, to generate synthetic images meeting a criterion of photo-realism as compared to corresponding original images; and ii) the second discriminator is trained based on the original images and the synthetic images to discriminate images with anomaly from images without anomaly with a given level of accuracy, thereby giving rise to a trained neural network system.

公开(公告)号：US20210174117A1

公开(公告)日：2021-06-10

申请号：US17111051

申请日：2020-12-03

Applicant: UVeye Ltd.

Inventor： Amir HEVER ,  Ohad HEVER ,  Ilya BOGOMOLNY

IPC: G06K9/32 ,  G06K9/62 ,  G06T7/70 ,  G06T7/60 ,  H04N7/18 ,  G06T7/00

Abstract: A system configured for verification of imaged target detection performs the following: (a) receive information indicative of at least two images of object(s). This information comprises candidate target detection region(s), indicative of possible detection of a target associated with the object(s). Images have at least partial overlap. The candidate region(s) appears at least partially in the overlap area. The images are associated with different relative positions of capturing imaging device(s) and of an imaged portion of the object(s). (b) process the information to determine whether the candidate region(s) meets a detection repetition criterion, the criterion indicative of repetition of candidate region(s) in locations of the images that are associated with a same location on a data representation of the object(s). (c) if the criterion is met, classify the candidate region(s) as verified target detection region(s). This facilitates output of an indication of the verified region(s).