SG11201909815RA - On-demand artificial intelligence and roadway stewardship system - Google Patents

On-demand artificial intelligence and roadway stewardship system

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Publication number
SG11201909815RA
SG11201909815RA SG11201909815RA SG11201909815RA SG 11201909815R A SG11201909815R A SG 11201909815RA SG 11201909815R A SG11201909815R A SG 11201909815RA SG 11201909815R A SG11201909815R A SG 11201909815RA
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SG
Singapore
Prior art keywords
international
rule
artificial intelligence
report
demand
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Jayant Ratti
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Jayant Ratti
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Family has litigation
First worldwide family litigation filed litigation Critical https://patents.darts-ip.com/?family=67908733&utm_source=google_patent&utm_medium=platform_link&utm_campaign=public_patent_search&patent=SG11201909815R(A) "Global patent litigation dataset” by Darts-ip is licensed under a Creative Commons Attribution 4.0 International License.
Priority claimed from US15/919,033 external-priority patent/US10296794B2/en
Application filed by Jayant Ratti filed Critical Jayant Ratti
Publication of SG11201909815RA publication Critical patent/SG11201909815RA/en

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    • 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
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/084—Backpropagation, e.g. using gradient descent
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/94—Hardware or software architectures specially adapted for image or video understanding
    • G06V10/95—Hardware or software architectures specially adapted for image or video understanding structured as a network, e.g. client-server architectures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/52—Surveillance or monitoring of activities, e.g. for recognising suspicious objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
    • G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/62—Text, e.g. of license plates, overlay texts or captions on TV images
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/18—Eye characteristics, e.g. of the iris
    • G06V40/19—Sensors therefor
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20—Movements or behaviour, e.g. gesture recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/048—Activation functions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00—Computing arrangements using knowledge-based models
    • G06N5/02—Knowledge representation; Symbolic representation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Data Mining & Analysis (AREA)
  • Human Computer Interaction (AREA)
  • Computing Systems (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Social Psychology (AREA)
  • Psychiatry (AREA)
  • Mathematical Physics (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Ophthalmology & Optometry (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Traffic Control Systems (AREA)
  • Image Analysis (AREA)
  • Document Processing Apparatus (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

288 —, 285 — 1 286 —, e• 1 111% 7. 7x cep 1111 11 1111% 304 (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (54) Title: ON-DEMAND ARTIFICIAL INTELLIGENCE AND ROADWAY STEWARDSHIP SYSTEM CM 292— I IMME63 293 7 , 851= 294 7 4 7 2. 2957 113=3 _,P6 284 am 29 —297 298 299 300 NIUNCIPT4 1,101,F, POLli . HOF 308 (12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date 19 September 2019 (19.09.2019) WIPO I PCT 11111111111111011111111111111110111110101111111111111111111111111111111111111011110111111 (10) International Publication Number WO 2019/175686 Al (51) International Patent Classification: GOOK 9/00 (2006.01) GOON 5/00 (2006.01) (21) International Application Number: PCT/II32019/051294 (22) International Filing Date: 18 February 2019 (18.02.2019) (25) Filing Language: English (26) Publication Language: English (30) Priority Data: 15/919,033 12 March 2018 (12.03.2018) US (72) Inventor; and (71) Applicant: RATTI, Jayant [IN/IN]; L-3 Ground Floor, South Extension — 2, New Delhi 110049 (IN). (74) Agent: SAIRAM, Rajeswari; Rucapillan Legal Services Priavte Limited, Level 2, KLJ Tower North B5 District Centre Netaji, Subhash Place Wazirpur, 110034 New Delhi (81) Designated States (unless otherwise indicated, for every kind of national protection available): 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. 303 301 302 LEAD SYEC AL S ' fie SPEC AL S SYEL AL S SYEC AL S SYEC AL S ilsA iL*___....A...,_....1. DANGEROUS CONDITIONS sisisEEE:Ea INFRASTRUCTURE REPORT sisisoss. TRAFF C TICKET W au BISH REPORT ^4. TERRORISTS REPORT atailiamilmomo wilawalimmils EOCMION LOCATION I FIGURE.19 —309 (57) : The present disclosure relates to artificial intelligence based systems and method for determination of traffic violations. The present disclosure use deep convolutional neural networks and machine vision based algorithms to perform a task of detection and recognition to provide complete solution to safe, legal and comfortable parking, driving and riding for commuters on the roadways. Roadway stewardship systems, Parking management systems when made on-demand and crowdsourced, can play a very strong role in regulating driving conditions in cities and highways. By allowing the on-demand, crowdsourced, roadway stewardship system to be automated, through the use of Artificial Intelligence (AI) sub-systems, users can be trained to recognize and be educated as well in the laws & regulations around the use of roadways; can help the process through an interactive console / game-play, which can also be used for monetization for individuals to earn money for their contribution. [Continued on next page] -0!C oc N O C 310 W() 2019/175686 Al I0111I0III11II111111011101110111I10I II 1110111110 Eli IHII 111111101111111111111111 GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, TM), European (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), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG). Declarations under Rule 4.17: as to the identity of the inventor (Rule 4.17(0 as to applicant's entitlement to apply for and be granted a patent (Rule 4.17(ii)) as to the applicant's entitlement to claim the priority of the earlier application (Rule 4.17(iii)) of inventorship (Rule 4.17(iv)) Published: with international search report (Art. 21(3)) with amended claims (Art. 19(1)) in black and white; the international application as filed contained color or greyscale and is available for download from PATENTSCOPE
SG11201909815R 2018-03-12 2019-02-18 On-demand artificial intelligence and roadway stewardship system SG11201909815RA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/919,033 US10296794B2 (en) 2016-12-20 2018-03-12 On-demand artificial intelligence and roadway stewardship system
PCT/IB2019/051294 WO2019175686A1 (en) 2018-03-12 2019-02-18 On-demand artificial intelligence and roadway stewardship system

Publications (1)

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SG11201909815RA true SG11201909815RA (en) 2019-11-28

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EP (1) EP3676754A4 (en)
AU (2) AU2019235551B2 (en)
CA (1) CA3093836A1 (en)
SG (1) SG11201909815RA (en)
WO (1) WO2019175686A1 (en)

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AU2019235551A1 (en) 2020-09-24
EP3676754A4 (en) 2021-09-01
CA3093836A1 (en) 2019-09-19
WO2019175686A1 (en) 2019-09-19
EP3676754A1 (en) 2020-07-08
AU2019235551B2 (en) 2022-02-03

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