Honeywell International Inc.

Kirupakar Janakiraman

Ramkumar Rajendran

Kalimulla Khan

Keyurbhai Patel

Baskaran Muthusamy

Narayanan Srinivasan

Rajesh Kulandaivel Sankarapandian

Rajeev Mohan

Ramchandra Joshi

Karthick Sengodan

Phillip Toews

GaneshKumar Nagaraj

Ryan Weeks

Henry Chen

Xiaoli Wang

Conrad Bruce Beaulieu

Shailesh Rasane

Ben Coleman

Subhransu Sahoo

Naga Sundar

Thirumal Raman

Parthasarathy Chinnachamy

Sarath Sasidharan

Sekar Mookan

Naga Sundar KandhaMunisamy

Venu Gadde

Ramesh Arumaikani

Raghu Shamasundar

Aloke Roy

Bijitha Bg

Nilesh Desai

Jim Darroch

Jayaprakash Meruva

Srihari Jayathirtha

Nayyar Azam Khan Rao

Nayyar Rao

Muralidharan Jagannathan

Rajesh Sankarapandia

Rajesh Vikraman

JeevananthaRaja Selvaraj

Prasanna M R H

Pavel Drasil

Cosmin Mihai

Todd Mathis

Nithya Vasudevan

Deepavali Dinkarrao Desai

Disclosed are methods and systems for bi-directional communication between one or more vehicles and a cloud based computing system. For instance, a method may include processing, by a first digital twin of the cloud based computing system, a first request received from and/or sent to a gateway unit associated with a first vehicle, the request comprising data related to one or more vehicle operations; validating, by an avionics data processing service (ADPS) in communication with the gateway unit, the first request against an operational parameter corresponding to the one or more vehicle operations; upon validating the first request, matching, by the ADPS, the operational parameter with a flight operation; and upon matching the operational parameter with the flight operation, inserting, by the ADPS, a modified flight operation into the flight management system of the vehicle.

Systems and methods for bi-directional communication between one or more vehicles and a cloud based computing system

Embodiments of the present disclosure are directed to a cloud-based vehicle monitoring platform (CVMP) configured to manage events impacting the operation of a plurality of vehicles. An onboard vehicle monitoring system associated with a particular vehicle is communicably coupled to CVMP centralized services and can determine corrective actions to employ to mitigate the events. The corrective actions in some contexts are generated by a rules engine based on a rule set generated by a federated learning model associated with the CVMP centralized services. If the onboard vehicle monitoring system determines that a first set of corrective actions generated based on a first set of rules is unsuccessful at mitigating the events, the onboard vehicle monitoring system can request a secondary set of rules from the CVMP centralized services. Various data recovery operations in some contexts are employed to revert the vehicle from a problem state back into a steady state.

Cloud-based vehicle monitoring platform

Disclosed are methods, systems, and one or more computer-readable mediums for receiving, at an edge device from an external server, a rules database comprising a set of rules; receiving, by the edge device, first data from at least one device; processing, by the edge device, the received first data by comparing the received data to each rule among the set of rules; identifying a first triggering event in response to detecting a match between the received data and a rule of the rules database; and outputting an alert corresponding to the first triggering event.

Systems and methods of situation aware edge analytics framework for avionics IOT gateways

A system includes avionics line-replaceable units (LRUs); a mission manager including application programming interfaces (API); a processing device; and a memory storing one or more machine readable instructions causing the system to: communicatively couple the mission manager to external avionics services via a data gateway to receive updated mission conditions at the mission manager; register one of the avionics LRUs with one of the mission manager APIs; receive, at the mission manager, updated mission conditions from the external avionics services via the data gateway; provide one or more of the one or more updated mission conditions to the registered avionics LRU based on one or more of an updated mission plan and an unexpected update to the mission condition; and control one or more aircraft systems based on one or more of the updated mission plan and the unexpected update to the mission condition.

Systems and methods for self-contained mission management

A system for an aircraft configured to: provide one or more of the sensed aircraft characteristics to a flight planning tool for processing by one or more features of the flight planning tool; receive a recommended flight setting from the flight planning tool based on the processing by the flight planning tool; compare a current flight setting as determined based on the one or more sensed aircraft characteristics from the plurality of sensors with the received recommended flight setting; determine a potential operational efficiency based on the comparison between the received recommended flight setting and the current flight setting; and provide the potential operational efficiency to a user based on an identity of the user.

Integrated flight deck

A video management system (VMS) may search for one or more objects and/or events in one or more video streams, and may receive time-stamped metadata that may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. A user may enter a query into a video query engine, wherein the video query engine includes one or more cognitive models. The VMS may apply the search query to the time-stamped metadata via the video query engine to search for one or more objects and/or events in the one or more video streams that match the search query, and returning a search result to the user.

Systems and methods for identifying events within video content using intelligent search query

A video management system (VMS) may search for one or more events in a plurality of video streams captured and stored at a plurality of remote sites. The VMS may generate time-stamped metadata for each video stream captured at the remote site. The time-stamped metadata for each video stream may identify one or more objects and/or events occurring in the corresponding video stream as well as an identifier that uniquely identifies the corresponding video stream. Each of the plurality of remote sites may send the time-stamped metadata to a central hub, wherein the time-stamped metadata may be stored in a data lake, and a user may enter a query into a video query engine, wherein the video query engine may be operatively coupled to the central hub.

Systems and methods for searching for events within video content

Display screen with graphical user interface

A video management system may send time-stamped metadata corresponding to a video stream across a communication path having a limited bandwidth. Time-stamped metadata for a first reference video frame which identifies objects in the reference frame may be generated, and sent across the communication path. Time-stamped metadata for each of a plurality of first delta video frames following the first reference video frame may be generated, the time-stamped metadata for each of the plurality of first delta video frames may identify changes in detected objects relative to the objects identified in the time-stamped metadata for the first reference video frame. The time-stamped metadata for each of the plurality of first delta video frames may be sent across the communication path.

Systems and methods for efficiently sending video metadata

Systems and methods for a situation aware edge analytics framework for communication systems. In certain embodiments, a method includes receiving an analytical model from an external server at a mobile edge node. Further, the method includes acquiring situation information for the mobile edge node from at least one component on the mobile edge node. Moreover, the method includes providing the situation information to the analytical model executing on the mobile edge node. Also, identifying a change in one or more communication link states based on an output of the analytical model. Additionally, transmitting the output of the analytical model to the external server. The method also includes receiving an additional analytical model from the external server by the mobile edge node, where the additional analytical model is based on the output of the analytical model.

Situation aware edge analytics framework for communication systems

Disclosed are methods, systems, and computer-readable medium for context-specific granular access to flight management system (FMS) SaaS using adaptive IAM. For instance, the method may include receiving, at one of a plurality of application programing interface (API) endpoints of a flight management system (FMS) software as a service (SaaS), a request from a client; determining whether the request is authorized; in response to determining the request is authorized, analyzing the request to determine a context of the request and determine whether the request includes an intent; transmitting a message to a particular functionality of the FMS SaaS based on the context and the intent; determining whether the client is associated with a subscription type; filtering a data stream from the FMS SaaS in accordance with the subscription type and the context; generating a response based on the filtered data stream; and transmitting the response to the client.

Systems and methods for context-specific granular access to flight management system using adaptive identity management

Systems and methods for creating a story board with forensic video analysis on a video repository are provided. Some methods can include storing a plurality of video data streams in a data repository, storing asynchronous streams of metadata of each of the plurality of video data streams in the data repository, identifying a first object captured by at least one of the plurality of video data streams, using the asynchronous streams of metadata to identify correlations or interactions between the first object and a plurality of other objects over time, and replicating a story of the first object.

Systems and methods for creating a story board with forensic video analysis on a video repository

Growing community of inventors

Madurai, India

Kirupakar Janakiraman