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1. (WO2018181837) METHODS AND SYSTEMS FOR IMAGE BASED ANOMALY DETECTION
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Pub. No.: WO/2018/181837 International Application No.: PCT/JP2018/013500
Publication Date: 04.10.2018 International Filing Date: 29.03.2018
IPC:
G06K 9/00 (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
Applicants: YOKOGAWA ELECTRIC CORPORATION[JP/JP]; 9-32, Nakacho 2-chome, Musashino-shi Tokyo 1808750, JP
Inventors: PERIASWAMY, Subramanian; IN
SYED, Nabil Ahmed; IN
RAMANA KERI, Sunil; IN
Agent: SUGIMURA Kenji; JP
Priority Data:
20174101161631.03.2017IN
Title (EN) METHODS AND SYSTEMS FOR IMAGE BASED ANOMALY DETECTION
(FR) PROCÉDÉS ET SYSTÈMES DE DÉTECTION D'ANOMALIE À BASE D'IMAGES
Abstract:
(EN) The invention provides methods, systems and computer program products for image based detection of occurrence of an anomalous event within a process environment. Detection of occurrence of an anomalous event comprises (i) receiving a first set of information from a first image acquisition device, (ii) analyzing the first set of information for determining whether the first image frame images an occurrence of an anomalous event, (iii) receiving a second set of information generated at a second device, wherein the second set of information represents a state of the process environment, (iv) analyzing the second set of information for determining whether an anomalous event has occurred, and (v) generating an anomaly identification decision based at least on output from analysis of the second set of information.
(FR) L'invention concerne des procédés, des systèmes et des produits- programmes informatiques permettant de détecter, sur la base d'une image, une occurrence d'un événement anormal dans un environnement de processus. La détection de l’occurrence d'un événement anormal consiste à (i) : recevoir un premier ensemble d'informations d'un premier dispositif d'acquisition d'image ; (ii) analyser le premier ensemble d'informations permettant de déterminer si la première trame d'image image une occurrence d'un événement anormal ; (iii) recevoir un second ensemble d'informations générées sur un second dispositif, le second ensemble d'informations représentant un état de l'environnement de processus ; (iv) analyser le second ensemble d'informations afin de déterminer si un événement anormal s'est produit ; et (v) générer une décision d'identification d'anomalie d’après au moins le résultat d'une analyse du second ensemble d'informations.
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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)