Patents by Inventor Manjunath Ramachandra

Manjunath Ramachandra has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20210312381
    Abstract: A method and a system of preserving perishable products during multi-modal transportation is disclosed. In an embodiment, the method may include configuring environmental parameters for the perishable products during transportation in a vehicle and a first set of control settings for control devices in the vehicle corresponding to the environmental parameters. The first set of control settings that correspond to the environmental parameters is verified using Internet of Things (IoT) sensors in the vehicle. A second set of control settings of the control devices is identified for a deviation in the first set of control settings, and during the multi-modal transportation. The second set of control settings that correspond to the environmental parameters is dynamically enforced thereby preserving the perishable products.
    Type: Application
    Filed: July 16, 2020
    Publication date: October 7, 2021
    Inventors: Manjunath Ramachandra IYER, Chandrashekar Bangalore NAGARAJ, Shashidhar SOPPIN
  • Publication number: 20210299875
    Abstract: A method, device and system for managing collaboration amongst robots is disclosed. The method may include assigning a color tag from a set of predefined color tags to each of a plurality of robots, based on associated functional capabilities. The method may further include dynamically creating a plurality of groups for a plurality of tasks based on at least one attribute associated with each of the plurality of tasks and functional capabilities associated with the plurality of robots. The method may include electing a plurality of chief robots for the plurality of groups based on a first predefined logic. The method may include selecting a prime robot from the plurality of chief robots based on a second predefined logic and the selected prime robot may be configured to monitor activity of each of the plurality of groups and each robot in each of the plurality of groups.
    Type: Application
    Filed: June 29, 2020
    Publication date: September 30, 2021
    Inventors: Manjunath Ramachandra IYER, Chandrashekar Bangalore NAGARAJ, Shashidhar SOPPIN
  • Publication number: 20210303328
    Abstract: The disclosure relates to a method and system for allocating resources to containers.
    Type: Application
    Filed: June 29, 2020
    Publication date: September 30, 2021
    Inventors: Shashidhar SOPPIN, Chandrashekar Bangalore Nagaraj, Manjunath Ramachandra Iyer
  • Publication number: 20210303610
    Abstract: A method and system for summarizing content based on user preferences is disclosed. The method includes identifying a set of relevant objects from a set of objects based on a relevancy score corresponding to each of the set of objects extracted from a plurality of sentences. The method further includes generating a link graph between each of the plurality of sentences. The method further includes assigning a weight to each of the plurality of sentences based on a retention probability. The method further includes generating a summarized content from the plurality of sentences based on the user preferences, the link graph, and the weight associated with each of the plurality of sentences.
    Type: Application
    Filed: May 13, 2020
    Publication date: September 30, 2021
    Inventors: Manjunath Ramachandra IYER, Chandrashekar Bangalore NAGARAJ, Shashidar SOPPIN
  • Patent number: 11127121
    Abstract: The present invention relates to the field of dynamic content creation and management and more particularly to dynamically create and insert immersive promotional content in a multimedia. The multimedia requested by a user is procured from a media server (105) and the one or more objects present in the multimedia is determined. The content of the multimedia is analyzed, and a decision is taken to immerse the promotional content in the multimedia based on the analysis of the multimedia. Further, a promotional content is created in real time using the components present in the asset database (106) based on the personalized user profile. The created promotional content is overlaid and blended with a at least one object from the one or more objects in the multimedia. The created promotional content and the multimedia is joined to form a composite media and is streamed to the user device.
    Type: Grant
    Filed: December 6, 2019
    Date of Patent: September 21, 2021
    Assignee: Wipro Limited
    Inventors: Sibsambhu Kar, Ankit Kumar Singh, Manjunath Ramachandra Iyer
  • Publication number: 20210287442
    Abstract: The present disclosure discloses a method and a system for generating AR/VR content in real-time. The system upon receiving a user query or gestures, identifies query attributes and action attributes associated with IOT devices. Thereafter, system identifies IOT data corresponding to the query attributes and the action attributes from the IOT devices. Based on the IOT data, system generates multimedia content using trained machine learning model. The machine learning model is trained to provide multimedia content based on the IOT data associated with the query attributes or the action attributes. Thereafter, the system generates AR/VR content in real-time based on the multimedia content. In this manner, present disclosure supports interactive queries over AR/VR content and provides AR/VR content in real-time thereby reducing storage requirement for storing various images for interpolation.
    Type: Application
    Filed: March 16, 2020
    Publication date: September 16, 2021
    Inventor: Manjunath Ramachandra Iyer
  • Patent number: 11120916
    Abstract: The present disclosure discloses method and a critical event managing system for managing time-critical events associated with critical devices. The critical event managing system identifies time-critical events from plurality of events based on predetermined factors related to the plurality of events. The plurality of events is determined from first procedural sequences identified from procedural narration by a practitioner and stored protocol manual. At least one of missed and incorrect events are determined based on comparison between reference and observed values associated with critical devices. A revised execution plan is provided iteratively based on historical data, data provided by practitioner, first procedural sequences, and metadata associated with plurality of parameters.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: September 14, 2021
    Assignee: Wipro Limited
    Inventors: Manjunath Ramachandra Iyer, Meenakshi Sundaram Murugeshan
  • Patent number: 11100693
    Abstract: A technique is provided for controlling an object avatar. The technique includes receiving one or more utterance from one or more user. Further, one or more object avatar is determined from object avatar database based on context. Based on one or more utterances, one or more parameters is extracted to control the object avatar. Further, one or more outcome is determine based on the one or more parameters extracted. Subsequently, the object avatar is controlled when the one or more outcomes correspond to a one or more permissible outcomes.
    Type: Grant
    Filed: February 15, 2019
    Date of Patent: August 24, 2021
    Assignee: Wipro Limited
    Inventor: Manjunath Ramachandra Iyer
  • Publication number: 20210256597
    Abstract: The present invention relates to a method of purchasing one or more goods from a physical store through a virtual environment. The method includes obtaining one or more physical store details and one or more user details from a user device for authenticating a physical user. Further, a unique avatar indicative of a virtual user corresponding to the physical user is generated. Furthermore, the virtual environment comprising one or more virtual stores is generated from a real-time video. The virtual environment is provided to the user device. Subsequently, an optimal path for traversing the virtual user in the virtual environment is determined in real-time based on one or more shopping details and a time period associated with the one or more shopping details. Finally, the virtual user is navigated in the one or more virtual stores through the optimal path for purchasing the one or more goods.
    Type: Application
    Filed: March 31, 2020
    Publication date: August 19, 2021
    Inventors: SHASHIDHAR SOPPIN, MANJUNATH RAMACHANDRA IYER, CHANDRASHEKAR BANGALORE NAGARAJ
  • Publication number: 20210256318
    Abstract: The disclosure relates to a system and method of configuring and validating multi-vendor and multi-region Internet-of-Things (IoT) devices using reinforcement learning. In some embodiments, the method includes generating a matching table for each of a plurality of IoT sensors based on a plurality of sensor attributes extracted from a product data associated with an IoT sensor; acquiring an identification information and operational information associated with the IoT sensor and a set of neighboring IoT sensors for each of the plurality of IoT sensors; identifying an appropriate set of IoT sensors from the plurality of IoT sensors, based on a user requirement, the matching table, the identification information and the operational information, using a Reinforcement Learning (RL) model; and dynamically configuring each of the appropriate set of IoT sensors based on a vendor type.
    Type: Application
    Filed: March 30, 2020
    Publication date: August 19, 2021
    Inventors: MANJUNATH RAMACHANDRA IYER, CHANDRASHEKAR BANGALORE NAGARAJ, SHASHIDHAR SOPPIN
  • Publication number: 20210256053
    Abstract: The disclosure relates to method and system for performing optimized image search. The method includes receiving an input image and user requirements with respect to an image search, identifying a sub-section from various sub-sections of the input image based on semantic parameters corresponding to each sub-section and the user requirements, and determining an optimal resolution of the sub-section based on a pixel density of various image formats derived for the sub-section. The method further includes identifying an optimal set of layers from a plurality of layers of an Artificial Neural Network (ANN) based image search model for performing the image search based on the semantic parameters for the sub-section, the optimal resolution of the sub-section, and historical data, and performing the image search to identify a set of output images similar to the sub-section based on a modified ANN based image search model comprising the optimal set of layers.
    Type: Application
    Filed: March 30, 2020
    Publication date: August 19, 2021
    Inventors: Shashidhar SOPPIN, Chandrashekar Bangalore NAGARAJ, Manjunath Ramachandra IYER
  • Publication number: 20210248409
    Abstract: A system and method for identifying and subsequently modifying target sections within images is disclosed. The method includes receiving a user request that includes a target image and a user input, such that the user input includes an action corresponding to the target image. The method further includes extracting a plurality of target image attributes from the user input and comparing the plurality of target image attributes with a set of attributes within a pattern attribute table. The pattern attribute table includes mapping of each of the set of attributes to an associated set of activated neurons within a neural network. Comparing the plurality of target image further includes identifying a set of activated neurons mapped to the matching attribute as neuron activations corresponding to the plurality of target image attributes. The method includes identifying a target image section based on the set of activated neurons using a back-propagation technique.
    Type: Application
    Filed: March 23, 2020
    Publication date: August 12, 2021
    Inventor: Manjunath Ramachandra IYER
  • Publication number: 20210248517
    Abstract: This disclosure relates to method and system for building ensemble models using competitive reinforcement learning (CRL). The method may include creating a plurality of clusters, each including a set of predictive models forming the ensemble model. For each of the plurality of clusters, the method may further include initializing each of the set of predictive models with random values for a set of first parameters to obtain a first accuracy score, categorizing each of the set of predictive models into a first associated category based on a first accuracy score, calculating a first reward for each of the set of predictive models based on the first associated category, and determining a set of second parameters for each of the set of predictive models using CRL to obtain a second accuracy score.
    Type: Application
    Filed: March 26, 2020
    Publication date: August 12, 2021
    Inventors: Shashidhar SOPPIN, Chandrashekar Bangalore NAGARAJ, Manjunath Ramachandra IYER
  • Patent number: 11087183
    Abstract: A method and system of multi-modality classification using augmented data is disclosed. The method includes generating a pattern for each of a plurality of augmented data associated with each of a plurality of object classes, based on at least one modality associated with each of the plurality of objects classes using a Long Term Short Memory (LSTM) classifier and a Layer-wise Relevance Propagation (LRP). The method further includes classifying an input image into a first object class of the plurality of object classes based on one or more objects within the input image using a Convolution Neural Network (CNN). The method further includes re-classifying the input image into one of the first object class or a second object class of the plurality of object classes when the accuracy of classification by the CNN into the first object class is below a matching threshold.
    Type: Grant
    Filed: August 14, 2019
    Date of Patent: August 10, 2021
    Assignee: Wipro Limited
    Inventors: Manjunath Ramachandra Iyer, Sethuraman Ulaganathan
  • Publication number: 20210201082
    Abstract: The disclosure relates to method and system for training an artificial neural network (ANN) based image classifier using class-specific relevant features. The method includes receiving the ANN based image classifier, training image dataset, and various features of the training image dataset. The method further includes determining a relative relevance value of each of the features corresponding to each of the classes based on the ANN based image classifier, segregating co-occurring features from the features for each of the classes based on the training image dataset and the ANN based image classifier, identifying an imbalance in the class-specific relevant features for each of the classes based on the relative relevance value of each of the features corresponding to each of the classes, and updating the ANN based image classifier based on the imbalance in the class-specific relevant features and the co-occurring features for each of the classes.
    Type: Application
    Filed: February 19, 2020
    Publication date: July 1, 2021
    Inventors: Manjunath Ramachandra IYER, Chandrashekar Bangalore NAGARAJ, Vinutha Bangalore NARAYANAMURTHY
  • Publication number: 20210201045
    Abstract: A method and system for summarizing multimedia content is disclosed. The method includes the steps of extracting a set of video files from a multimedia content such that each of the set of video files comprises a plurality of frames, and summarizing each of the set of video files to generate a set of summarized video files. Summarizing includes modifying a number of frames in each of the set of video files while retaining a caption generated for each of the set of video files. The method further includes generating sets of bridge frames for the set of summarized video files, based on a deep learning model. A set of bridge frames from the sets of bridge frames maintains continuity between corresponding adjacent summarized video files. The method includes generating a summarized multimedia content based on the set of summarized video files and the sets of bridge frames.
    Type: Application
    Filed: February 20, 2020
    Publication date: July 1, 2021
    Inventor: Manjunath Ramachandra IYER
  • Publication number: 20210201205
    Abstract: The disclosure relates to method and system for determining correctness of predictions performed by deep learning model. The method includes extracting a neuron activation pattern of a layer of the deep learning model with respect to the input data, and generating an activation vector based on the extracted neuron activation pattern. The method further includes determining the correctness of the prediction performed by the deep learning model with respect to the input data using a prediction validation model and based on the activation vector. The prediction validation model is a machine learning model that has been generated and trained using training activation vectors derived from correctly predicted test dataset and incorrectly predicted test dataset of the deep learning model. The method further includes providing the correctness of the prediction performed by the deep learning model with respect to the input data for subsequent rendering or subsequent processing.
    Type: Application
    Filed: February 18, 2020
    Publication date: July 1, 2021
    Inventors: Arindam Chatterjee, Manjunath Ramachandra lyer, Vinutha Bangalore NARAYANAMURTHY
  • Patent number: 11048985
    Abstract: This disclosure relates to method and system for classifying an object in input data using an artificial neural network (ANN) model. The method may include extracting positive features and orthogonal features associated with the object in the input data, performing a partial classification of the object based on the positive features by a first part of the ANN model, and determining an accuracy of the classification of the object based on the orthogonal features by a second part of the ANN model. The positive features are features uniquely contributing to identification of a class for the object, while the orthogonal features are features not contributing to identification of the class but contributing to identification of one or more of remaining classes.
    Type: Grant
    Filed: July 29, 2019
    Date of Patent: June 29, 2021
    Assignee: Wipro Limited
    Inventor: Manjunath Ramachandra Iyer
  • Patent number: 11050676
    Abstract: The present disclosure provides a method and a system for triggering of Internet of things (IoT) devices. The system comprising a processor causes the processor to receive a change in output of first IoT device from a plurality of IoT devices, wherein the plurality of IoT devices are connected to each other, determine one or more connectivity paths between the plurality of IoT devices including the first IoT device based on stored connectivity paths between the plurality of IoT devices in a database, select one of the determined one or more connectivity paths between the plurality of IoT devices, wherein the selecting is based on similarity of metadata of each of the plurality of IoT devices in each of the one or more connectivity paths and trigger one or more IoT devices of the plurality of IoT devices in the selected connectivity path.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: June 29, 2021
    Assignee: Wipro Limited
    Inventor: Manjunath Ramachandra
  • Publication number: 20210182945
    Abstract: The present invention discloses a method and a system for assisting user with product handling in a retail shopping. The method comprising identifying one or more products from a list of products that user intends to purchase, neighbouring products and orientations of the one or more products and the neighbouring products from a plurality of image frames and rack information, comparing the identified orientations with historic orientations of products and neighbouring products associated with the rack information, identifying at least one product from the one or more products and the neighbouring products that is improperly oriented based on comparison, determining product safety handling instructions of the identified at least one product and assisting the user in real-time with handling of the identified at least one product based on the product safety handling instructions.
    Type: Application
    Filed: February 5, 2020
    Publication date: June 17, 2021
    Inventors: Shashidhar SOPPIN, Manjunath Ramachandra IYER, Chandrashekar Bangalore NAGARAJ