公开(公告)号：US20220327652A1

公开(公告)日：2022-10-13

申请号：US17225795

申请日：2021-04-08

Applicant: Hitachi, Ltd.

Inventor： Malarvizhi SANKARANARAYANASAMY ,  Ramyar SAEEDI ,  Rahul VISHWAKARMA ,  Prasun SINGH ,  Ravigopal VENNELAKANTI

IPC: G06Q50/30 ,  G06K9/62 ,  G06N20/00

Abstract: Systems and methods described herein can involve establishing a blockchain network between a plurality of organizations, each organization representing a different mode of transport and/or transit oriented service providers; deriving multi-modal features from first data sources of the plurality of organizations in the blockchain and second data sources off the blockchain; constructing a multi-modal network that integrates the different mode of transports from the plurality of organizations from the derived multi-modal features; executing smart contracts between the plurality of organizations across the blockchain in accordance with service level agreements generated from reinforcement learning through the multi-modal model derived from the multi-modal network; and providing, through a micro-application, access to multi-modal transportation services based on the executed smart contracts.

公开(公告)号：US20240249375A1

公开(公告)日：2024-07-25

申请号：US18100981

申请日：2023-01-24

Applicant: Hitachi, Ltd.

Inventor： Malarvizhi SANKARANARAYANASAMY ,  Ravigopal VENNELAKANTI ,  Prasun Kumar SINGH ,  Ramyar SAEEDI ,  Rahul VISHWAKARMA ,  Shouchun PENG

IPC: G06Q50/30 ,  G06Q10/0637

CPC classification number: G06Q50/30 ,  G06Q10/0637 ,  G06Q10/0631

Abstract: In example implementations described herein, there are systems and methods for providing service partner recommendations in a transportation network associated with a plurality of transit-oriented service providers. The systems and method may include receiving a request for a service related to at least one aspect of the transportation network; obtaining information regarding a current state of the transportation network, where the information regarding the current state of the transportation network includes a set of service-preference parameters for the plurality of transit-oriented service providers; generating, based on an analysis of the request for the service and the information regarding the current state of the transportation network, a set of recommended partners and a set of recommended agreement parameters; and outputting the set of recommended partners and the set of recommended agreement parameters to at least one service provider in the plurality of transit-oriented service providers for acceptance.

公开(公告)号：US20240428510A1

公开(公告)日：2024-12-26

申请号：US18214157

申请日：2023-06-26

Applicant: HITACHI, Ltd.

Inventor： Masato TAMURA ,  Ravigopal VENNELAKANTI ,  Rahul VISHWAKARMA ,  Nam HUYN ,  Malarvizhi SANKARANARAYANASAMY

IPC: G06T17/00 ,  G06T7/00 ,  G06V10/764 ,  G06V10/774 ,  G06V20/70

Abstract: Generating a 3D attention model from use of a trained classifier configured to generate an attention map from 2D image frames and a 3D reconstruction process configured to generate a 3D reconstructed representation from the 2D image frames, which can involve, for an input of the 2D image frames creating, through a 3D reconstruction process, the 3D reconstructed representation using the 2D image frames after data collection of an inspection process, the 3D reconstructed representation associated with a mapping to the 2D image frames; executing the trained classifier on the 2D image frames of the video to generate attention maps of the 2D image frames; projecting the attention maps of the 2D image frames to the 3D reconstructed representation based on the mapping to the 2D image frames; and storing the 3D attention model involving the associated 3D attention maps and the 3D reconstructed representation.

公开(公告)号：US20250022273A1

公开(公告)日：2025-01-16

申请号：US18221766

申请日：2023-07-13

Applicant: HITACHI, Ltd.

Inventor： Rahul VISHWAKARMA ,  Ravigopal VENNELAKANTI ,  Nam HUYN ,  Masato TAMURA ,  Malarvizhi SANKARANARAYANASAMY

IPC: G06V20/40 ,  G06T7/00 ,  G06T7/246 ,  G06V20/10 ,  G06V30/19

Abstract: Systems and methods for summarizing an infrastructure surface inspection video, which can involve processing frames of the infrastructure surface inspection video through a spatial in-frame process configured to conduct feature and text extraction on the frames on detected observations, the extracted features and text used to generate spatial metadata; processing the frames of the infrastructure surface inspection video through a temporal cross-frame process configured to detect changes across sequences of the frames including the spatial metadata, the temporal cross-frame process configured to generate temporal metadata encapsulating the detected changes; and processing the frames of the infrastructure surface inspection video through an activity decision process configured to intake the spatial metadata and temporal metadata to detect and track structural features or defects of interest as activity in the infrastructure surface inspection video and generate summary metadata from the spatial metadata, temporal metadata, and detected segments of interest.

公开(公告)号：US20240355196A1

公开(公告)日：2024-10-24

申请号：US18137928

申请日：2023-04-21

Applicant: HITACHI, Ltd.

Inventor： Ramyar SAEEDI ,  Malarvizhi SANKARANARAYANASAMY ,  Rahul VISHWAKARMA ,  Prasun SINGH ,  Shouchun PENG ,  Ravigopal VENNELAKANTI

IPC: G08G1/01 ,  G01C21/32 ,  G01S19/42

CPC classification number: G08G1/0125 ,  G01C21/32 ,  G01S19/42

Abstract: A method for demand estimation. The method may include collecting people flow data from a network of a plurality of sensors within an area of interest, wherein each sensor of the plurality of sensors is associated with a user device; processing the people flow data to generate movement trajectories; mapping the movement trajectories to existing transportation network; aggregating the movement trajectories associated with the network of the plurality of sensors to estimate movement flow density; for the people flow data representing less than entire population of the area of interest, performing data simulation to rescale the movement flow density; classifying the people flow data into different transportation types; and generating flow-demand matching by matching current demand with transportation resource information.

公开(公告)号：US20240296459A1

公开(公告)日：2024-09-05

申请号：US18117040

申请日：2023-03-03

Applicant: Hitachi, Ltd.

Inventor： Prasun Kumar SINGH ,  Malarvizhi SANKARANARAYANASAMY ,  Ravigopal VENNELAKANTI ,  Amit KUMAR

IPC: G06Q30/018

CPC classification number: G06Q30/018

Abstract: In example implementations described herein, there are systems and methods for obtaining information relating to one or more of a GHG consumption or a GHG production associated with a plurality of entities associated with a GHG-offset marketplace; receiving a request regarding a desired transaction related to the GHG-offset marketplace; and recommending, based on the request and the information relating to the one or more of the GHG consumption or the GHG production, at least one optimized set of partner entities in the plurality of entities for fulfilling the request. The recommendation of the at least one optimized set of partner entities may be included as part of selecting and coordinating partnerships in a supply chain (e.g., for a supply chain management company) to reduce and/or optimize greenhouse gas emissions and to enable effective cooperation for various supply chain objectives.