公开(公告)号：US20190301976A1

公开(公告)日：2019-10-03

申请号：US16416934

申请日：2019-05-20

Applicant: Nuctech Company Limited

Inventor： Yanwei XU ,  Weifeng YU

IPC: G01M17/007 ,  G01V5/00 ,  G01N23/04 ,  G01B11/04

Abstract: A method and a system for fast inspecting a vehicle based on a length measuring device, including: when a subject vehicle enters an inspection region, measuring a first length and a second length of the subject vehicle; determining whether the first length and the second length is respectively larger than or equal to a preset second length threshold; if so, determining whether a gap portion of the subject vehicle between a first portion and a second portion of the subject vehicle appears in a beam emitting region formed by a beam of radiation rays emitted by the system for fast inspecting a vehicle; and when the gap portion appears in the beam emitting region, emitting a beam of radiation rays of a first radiation dose to the subject vehicle according to the gap portion, wherein the subject vehicle moves with respect to the system for fast inspecting a vehicle.

公开(公告)号：US20180182126A1

公开(公告)日：2018-06-28

申请号：US15852103

申请日：2017-12-22

Applicant: Nuctech Company Limited

Inventor： Yanwei XU ,  Zheng HU ,  Yongming WANG ,  Chuan GAO ,  Weifeng YU ,  Qiang LI ,  Yuan MA ,  Jianping GU ,  Yu HU ,  Shangmin SUN

IPC: G06T7/73 ,  G06N3/08 ,  G06N3/04 ,  G06T3/40 ,  G06K9/00 ,  G06K9/62

CPC classification number: G06T7/74 ,  G06K9/00771 ,  G06K9/00791 ,  G06K9/6262 ,  G06N3/0472 ,  G06N3/08 ,  G06T3/40 ,  G06T2207/20081 ,  G06T2207/20084 ,  G06T2207/30248

Abstract: The present disclosure discloses a method and system for identifying a part of a vehicle and a vehicle inspection system. The method includes: acquiring a vehicle body image sequence of a vehicle to be identified; reconstructing the vehicle body by using a first vehicle body reconstruction model generated through a deep learning algorithm and on the basis of the vehicle body image sequence, so as to acquire a vehicle body reconstruction image of the vehicle to be identified; and identifying a boundary identifier of the vehicle to be identified on the basis of the vehicle body reconstruction image of the vehicle to be identified.

公开(公告)号：US20170184392A1

公开(公告)日：2017-06-29

申请号：US15283115

申请日：2016-09-30

Applicant: NUCTECH COMPANY LIMITED

Inventor： Yanwei XU ,  Defang MENG ,  Weifeng YU

IPC: G01B11/00 ,  G01B11/26 ,  G01B11/14

CPC classification number: G01B11/002 ,  G01B11/14 ,  G01B11/26 ,  G01M17/007 ,  G05D1/0236

Abstract: Embodiments of the invention disclose a vehicle guidance system, a method for orientating a vehicle, and an inspection vehicle. The vehicle guidance system includes at least two separate reference devices; a laser scanner device, configured to emit a laser beam signals and scan a sectorial region with the laser beam so as to measure a distance of a straight connection line for connecting the laser scanner device to any of the at least two separate reference devices, and an angle between the corresponding straight connection line and a vehicle body of the vehicle, or an angle between the straight connection lines; a processor, configured to process and store data, and to determine whether the orientation of the vehicle body in real time is deviating from an initial orientation of the vehicle body upon the system starts to operate or not, in accordance with the sensed results by the laser scanner device.

公开(公告)号：US20170161586A1

公开(公告)日：2017-06-08

申请号：US15278458

申请日：2016-09-28

Applicant: Nuctech Company Limited

Inventor： Yanwei XU ,  Weifeng YU

IPC: G06K9/62 ,  G06K9/00 ,  G06K9/46 ,  H04N7/18 ,  G06T7/00

CPC classification number: G06K9/6202 ,  B61L1/00 ,  B61L25/04 ,  G06K9/00771 ,  G06K9/4604 ,  G06K9/6215 ,  G06T7/0081 ,  G06T7/11 ,  G06T2207/10016 ,  H04N7/183

Abstract: The present disclosure relates to a train type identification method and system, and a security inspection system and system. The train type identification method includes: continuously photographing a to-be-inspected train by using a linearity camera in motion relative to the to-be-inspected train, and generating a plurality of train sub-images; splicing the plurality of train sub-images to acquire a train image of the to-be-inspected train; extracting at least one train characteristic parameter from the train image; comparing the at least one train characteristic parameter with a prestored train type template; and automatically determining a type of the to-be-inspected train based on a comparison result.