EP3959649 - SYSTEMS AND METHODS FOR AUTOMATIC RECOGNITION OF VEHICLE INFORMATION [Right-click to bookmark this link] | Status | Examination is in progress Status updated on 10.08.2023 Database last updated on 02.09.2024 | |
Former | Request for examination was made Status updated on 28.01.2022 | ||
Former | The international publication has been made Status updated on 31.10.2020 | ||
Former | unknown Status updated on 27.05.2020 | Most recent event Tooltip | 19.04.2024 | New 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 date | 20726266.8 | 23.04.2020 | [2022/09] | WO2020US29503 | Priority number, date | US201962837804P | 24.04.2019 Original published format: US 201962837804 P | [2022/09] | Filing language | EN | Procedural language | EN | Publication | Type: | 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: | EP | 29.10.2020 | Classification | IPC: | 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 states | AL, 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] | Title | German: | 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 phase | 18.11.2021 | National basic fee paid | 18.11.2021 | Designation fee(s) paid | 18.11.2021 | Examination fee paid | Examination procedure | 18.11.2021 | Examination requested [2022/09] | 18.11.2021 | Date on which the examining division has become responsible | 02.03.2022 | Amendment by applicant (claims and/or description) | 09.08.2023 | Despatch of a communication from the examining division (Time limit: M06) | 15.01.2024 | Reply to a communication from the examining division | Fees paid | Renewal fee | 20.04.2022 | Renewal fee patent year 03 | 20.04.2023 | Renewal fee patent year 04 | 18.04.2024 | Renewal fee patent year 05 |
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Responsibility for the accuracy, completeness or quality of the data displayed under the link provided lies entirely with the Unified Patent Court. | Cited in | International 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 |