NZ630397A - Image recognition of vehicle parts - Google Patents

Image recognition of vehicle parts

Info

Publication number
NZ630397A
NZ630397A NZ630397A NZ63039714A NZ630397A NZ 630397 A NZ630397 A NZ 630397A NZ 630397 A NZ630397 A NZ 630397A NZ 63039714 A NZ63039714 A NZ 63039714A NZ 630397 A NZ630397 A NZ 630397A
Authority
NZ
New Zealand
Prior art keywords
vehicle part
image recognition
image
candidate
target image
Prior art date
Application number
NZ630397A
Inventor
Nathan Woolfson David
Robert Bates Andrew
Keith Bott Ian
Kyriakopoulos George
Original Assignee
Fmp Group (Australia) Pty Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from AU2013901813A external-priority patent/AU2013901813A0/en
Priority claimed from AU2013101043A external-priority patent/AU2013101043A4/en
Application filed by Fmp Group (Australia) Pty Ltd filed Critical Fmp Group (Australia) Pty Ltd
Publication of NZ630397A publication Critical patent/NZ630397A/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/74—Image or video pattern matching; Proximity measures in feature spaces

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Theoretical Computer Science (AREA)
  • Medical Informatics (AREA)
  • Health & Medical Sciences (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Image Analysis (AREA)
  • User Interface Of Digital Computer (AREA)
  • Collating Specific Patterns (AREA)

Abstract

Disclosed is a computer-implemented method for providing attributes of a candidate vehicle part using image recognition of a vehicle part on a user device. A target image (610) of the vehicle part is obtained from a camera system and image recognition is performed to identify the vehicle part in the target image (610). Image recognition is done by comparing the target image (610) with candidate images (640) to obtain one or more matching results. When the image recognition is being performed, one or more visual features (630) of the vehicle part are extracted from the target image (610) and compared with the candidate images (640). The one or more matching results are provided on a user interface of a user device, each matching result including an image of a candidate vehicle part and attributes of the candidate vehicle part.
NZ630397A 2013-05-21 2014-05-21 Image recognition of vehicle parts NZ630397A (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
AU2013901813A AU2013901813A0 (en) 2013-05-21 Image recognition of vehicle parts
AU2013101043A AU2013101043A4 (en) 2013-05-21 2013-05-21 Image recognition of vehicle parts
PCT/AU2014/050046 WO2014186840A1 (en) 2013-05-21 2014-05-21 Image recognition of vehicle parts

Publications (1)

Publication Number Publication Date
NZ630397A true NZ630397A (en) 2017-06-30

Family

ID=51932634

Family Applications (1)

Application Number Title Priority Date Filing Date
NZ630397A NZ630397A (en) 2013-05-21 2014-05-21 Image recognition of vehicle parts

Country Status (3)

Country Link
AU (1) AU2014271204B2 (en)
NZ (1) NZ630397A (en)
WO (1) WO2014186840A1 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10163033B2 (en) 2016-12-13 2018-12-25 Caterpillar Inc. Vehicle classification and vehicle pose estimation
SE1750463A1 (en) * 2017-04-20 2018-10-21 Wiretronic Ab Method and computer vision system for handling of an operable tool
JP7005932B2 (en) * 2017-04-28 2022-01-24 富士通株式会社 Search program, search device and search method
KR102023469B1 (en) * 2019-04-02 2019-09-20 이재명 Body parts manufacturing system
CN110659567B (en) * 2019-08-15 2023-01-10 创新先进技术有限公司 Method and device for identifying damaged part of vehicle
CN111310561A (en) * 2020-01-07 2020-06-19 成都睿琪科技有限责任公司 Vehicle configuration identification method and device
CN114663871A (en) * 2022-03-23 2022-06-24 北京京东乾石科技有限公司 Image recognition method, training method, device, system and storage medium

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060030985A1 (en) * 2003-10-24 2006-02-09 Active Recognition Technologies Inc., Vehicle recognition using multiple metrics
US7751805B2 (en) * 2004-02-20 2010-07-06 Google Inc. Mobile image-based information retrieval system
US9135277B2 (en) * 2009-08-07 2015-09-15 Google Inc. Architecture for responding to a visual query

Also Published As

Publication number Publication date
WO2014186840A1 (en) 2014-11-27
AU2014271204A1 (en) 2015-12-03
AU2014271204B2 (en) 2019-03-14

Similar Documents

Publication Publication Date Title
NZ630397A (en) Image recognition of vehicle parts
WO2018208869A3 (en) A learning based approach for aligning images acquired with different modalities
NZ738874A (en) Facial recognition system
PH12019501009A1 (en) Face liveness detection method and apparatus, and electronic device
WO2014140903A3 (en) Apparatus, method, and computer readable medium for recognizing text on a curved surface
MX2017003204A (en) Method, apparatus and computer program for displaying an image.
WO2015200110A3 (en) Techniques for machine language translation of text from an image based on non-textual context information from the image
EP2833294A3 (en) Device to extract biometric feature vector, method to extract biometric feature vector and program to extract biometric feature vector
EP3043329A3 (en) Image processing apparatus, image processing method, and program
MX2018008104A (en) Identifying entities using a deep-learning model.
PH12016500350A1 (en) Image processing apparatus and image processing method
MX2016006229A (en) Image based search.
EP2977959A3 (en) Method and device for adjusting skin color
WO2014137806A3 (en) Visual language for human computer interfaces
EP3699817A3 (en) Liveness testing methods and apparatuses and image processing methods and apparatuses
EP2869239A3 (en) Systems and methods for facial representation
EP2838069A3 (en) Apparatus and method for analyzing image including event information
WO2014024043A3 (en) System and method for determining graph relationships using images
EP2937813A3 (en) Method of processing content and electronic device using the same
SG11201809816YA (en) Vehicle identification method and apparatus
WO2018092051A3 (en) Authentication using object imaging
WO2015092588A3 (en) Spectral image data processing
EP2860663A3 (en) Eye part detection apparatus
EP2996087A3 (en) Image processing method and electronic apparatus
EP2753065A3 (en) Method and apparatus for laying out image using image recognition

Legal Events

Date Code Title Description
PSEA Patent sealed
RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2019 BY CPA GLOBAL

Effective date: 20180503

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2020 BY CPA GLOBAL

Effective date: 20190404

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2021 BY CPA GLOBAL

Effective date: 20200410

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2022 BY CPA GLOBAL

Effective date: 20210408

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2023 BY CPA GLOBAL

Effective date: 20220407

RENW Renewal (renewal fees accepted)

Free format text: PATENT RENEWED FOR 1 YEAR UNTIL 21 MAY 2024 BY CPA GLOBAL

Effective date: 20230406