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1. (WO2019064237) SYSTEMS AND METHODS FOR DEVICE RECOGNITION
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Pub. No.: WO/2019/064237 International Application No.: PCT/IB2018/057522
Publication Date: 04.04.2019 International Filing Date: 27.09.2018
IPC:
G06K 9/62 (2006.01) ,H04L 29/08 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
K
RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9
Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62
Methods or arrangements for recognition using electronic means
H ELECTRICITY
04
ELECTRIC COMMUNICATION TECHNIQUE
L
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29
Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02
Communication control; Communication processing
06
characterised by a protocol
08
Transmission control procedure, e.g. data link level control procedure
Applicants:
FING LIMITED [IE/IE]; Trinity House Charleston Road Dublin, 6, IE
Inventors:
MEDAS, Carlo; IT
DE ANGELIS, Marco; IT
Priority Data:
62/564,73728.09.2017US
Title (EN) SYSTEMS AND METHODS FOR DEVICE RECOGNITION
(FR) SYSTÈMES ET PROCÉDÉS DE RECONNAISSANCE DE DISPOSITIF
Abstract:
(EN) Embodiments of the present invention provide techniques, systems, and methods for crowdsourcing device recognition to collect device information and identification data from a limited number of network devices and then leverage the collected information with machine learning techniques to expand the starting set in way that the prediction of device attributes like device type, device brand, family and model can be applied on billions of devices.
(FR) Selon des modes de réalisation, la présente invention concerne des techniques, des systèmes et des procédés destinés à une reconnaissance de dispositif d'externalisation ouverte pour collecter des informations de dispositif et des données d'identification à partir d'un nombre limité de dispositifs de réseau, puis tirer parti des informations collectées avec des techniques d'apprentissage automatique pour étendre l'ensemble de démarrage de telle sorte que la prédiction d'attributs de dispositif tels que le type de dispositif, la marque de dispositif, la famille et le modèle peuvent être appliqués à des milliards de dispositifs.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: English (EN)
Filing Language: English (EN)