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Extract from the Register of European Patents

EP About this file: EP3959649

EP3959649 - SYSTEMS AND METHODS FOR AUTOMATIC RECOGNITION OF VEHICLE INFORMATION [Right-click to bookmark this link]
StatusExamination is in progress
Status updated on  10.08.2023
Database last updated on 02.09.2024
FormerRequest for examination was made
Status updated on  28.01.2022
FormerThe international publication has been made
Status updated on  31.10.2020
Formerunknown
Status updated on  27.05.2020
Most recent event   Tooltip19.04.2024New entry: Renewal fee paid 
Applicant(s)For all designated states
CRC R&D, LLC
32 East Airline Highway
Kenner, Louisiana 70062 / US
[2022/09]
Inventor(s)01 / MAINS, Ronald H Jr.
32 East Airline Highway
Kenner, Louisiana 70062 / US
02 / GUILLOT, John
32 East Airline Highway
Kenner, Louisiana 70062 / US
03 / ROOS, Matthew
32 East Airline Highway
Kenner, Louisiana 70062 / US
 [2022/09]
Representative(s)Ullrich & Naumann PartG mbB
Schneidmühlstrasse 21
69115 Heidelberg / DE
[2022/09]
Application number, filing date20726266.823.04.2020
[2022/09]
WO2020US29503
Priority number, dateUS201962837804P24.04.2019         Original published format: US 201962837804 P
[2022/09]
Filing languageEN
Procedural languageEN
PublicationType: A1 Application with search report
No.:WO2020219664
Date:29.10.2020
Language:EN
[2020/44]
Type: A1 Application with search report 
No.:EP3959649
Date:02.03.2022
Language:EN
The application published by WIPO in one of the EPO official languages on 29.10.2020 takes the place of the publication of the European patent application.
[2022/09]
Search report(s)International search report - published on:EP29.10.2020
ClassificationIPC:G06K9/32
[2022/09]
CPC:
G06V20/62 (EP,US); G06F18/217 (US); G06F18/2415 (US);
G06V10/82 (EP,US); H04N7/181 (US); G06V20/625 (US);
G06V30/10 (EP,US) (-)
Designated contracting statesAL,   AT,   BE,   BG,   CH,   CY,   CZ,   DE,   DK,   EE,   ES,   FI,   FR,   GB,   GR,   HR,   HU,   IE,   IS,   IT,   LI,   LT,   LU,   LV,   MC,   MK,   MT,   NL,   NO,   PL,   PT,   RO,   RS,   SE,   SI,   SK,   SM,   TR [2022/09]
TitleGerman:SYSTEME UND VERFAHREN ZUR AUTOMATISCHEN ERKENNUNG VON FAHRZEUGINFORMATIONEN[2022/09]
English:SYSTEMS AND METHODS FOR AUTOMATIC RECOGNITION OF VEHICLE INFORMATION[2022/09]
French:SYSTÈMES ET PROCÉDÉS DE RECONNAISSANCE AUTOMATIQUE D'INFORMATIONS DE VÉHICULE[2022/09]
Entry into regional phase18.11.2021National basic fee paid 
18.11.2021Designation fee(s) paid 
18.11.2021Examination fee paid 
Examination procedure18.11.2021Examination requested  [2022/09]
18.11.2021Date on which the examining division has become responsible
02.03.2022Amendment by applicant (claims and/or description)
09.08.2023Despatch of a communication from the examining division (Time limit: M06)
15.01.2024Reply to a communication from the examining division
Fees paidRenewal fee
20.04.2022Renewal fee patent year 03
20.04.2023Renewal fee patent year 04
18.04.2024Renewal fee patent year 05
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Cited inInternational search[XYI]US2016358033  (HERRERA JUAN ANTONIO [US], et al) [X] 1,6,7,10,13-15,17,18,20 * paragraph [0004] - paragraph [0006] * * paragraph [0038] - paragraph [0046] * * paragraph [0060] - paragraph [0061] * [Y] 5 [I] 2-4,8,9,11,16,19;
 [A]CN109344825  (GUANGZHOU MELUX INFORMATION TECH CO LTD) [A] 1-20 * paragraph [0011] - paragraph [0020] ** paragraph [0033] - paragraph [0042] *;
 [Y]  - ORHAN BULAN ET AL, "Segmentation- and Annotation-Free License Plate Recognition With Deep Localization and Failure Identification", IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, Piscataway, NJ, USA, (20170901), vol. 18, no. 9, doi:10.1109/TITS.2016.2639020, ISSN 1524-9050, pages 2351 - 2363, XP055680898 [Y] 5 * page 2352; figure 2 * * page 2355; figure 10 *

DOI:   http://dx.doi.org/10.1109/TITS.2016.2639020
by applicant   - O. RUSSAKOVSKY, "ImageNet Large Scale Visual Recognition Challenge", Int. J. Comput. Vis., (20151200), vol. 115, no. 3, doi:10.1007/s11263-015-0816-y, pages 211 - 252, XP035934552

DOI:   http://dx.doi.org/10.1007/s11263-015-0816-y
The EPO accepts no responsibility for the accuracy of data originating from other authorities; in particular, it does not guarantee that it is complete, up to date or fit for specific purposes.